The analytics education market in India is exploding with analytics institutes providing a slew of instructional courses that are in line with the industry demand. This study aims to provide an overview of the analytics education landscape in India, the type of learning models offered and how online learning has become an inherent part of the analytics ecosystem in India.
UpGrad - our vision for online higher education UpGrad
For individuals looking to advance in their professional journey, UpGrad will empower them to reach their full professional potential, through our rigourous and engaging online learning courses developed with the best-in-class faculty and industry and always-on, personalised support.
This slideshare throws a little more light on who we are and our vision for online higher education in India
For an organisation human resource is an altogether important asset.
Skills and knowledge of people are the driving force of growth and social
development. Training and Development ensure that employees may
develop competencies and maximise their potential. The major factor
hindering employees training are time and budget. The emerging trends in
technologies require development of new skills and knowledge so as to
meet the emerging challenges. Therefore, companies are nowadays
focusing on advanced and effective training methods to train and develop
their people. E-learning is becoming a dominant tool that is widely used in
organisations worldwide for the purpose of employee training. This case
study identifies the use of E-learning for training and development
processes within the organisations being studied.
How one liberal arts college blended academic coursework with skills-based micro-learning to help its students prepare for internships, jobs and life after graduation.
Join the LT show's effective practice partner, Towards Maturity to explore how to unlock the potential of your organisation, your staff and your L&D team. This lunch and learn session will combine new research insights from Laura Overton and her team with great conversation with your peers.
The session will be divided into three parts, allowing you to grab your lunch and explore tailored keys that help you nail the tactics to
Transform traditional learning in your organisation
Successfully integrate learning and work
Impact engagement, and ultimately learning culture
UpGrad - our vision for online higher education UpGrad
For individuals looking to advance in their professional journey, UpGrad will empower them to reach their full professional potential, through our rigourous and engaging online learning courses developed with the best-in-class faculty and industry and always-on, personalised support.
This slideshare throws a little more light on who we are and our vision for online higher education in India
For an organisation human resource is an altogether important asset.
Skills and knowledge of people are the driving force of growth and social
development. Training and Development ensure that employees may
develop competencies and maximise their potential. The major factor
hindering employees training are time and budget. The emerging trends in
technologies require development of new skills and knowledge so as to
meet the emerging challenges. Therefore, companies are nowadays
focusing on advanced and effective training methods to train and develop
their people. E-learning is becoming a dominant tool that is widely used in
organisations worldwide for the purpose of employee training. This case
study identifies the use of E-learning for training and development
processes within the organisations being studied.
How one liberal arts college blended academic coursework with skills-based micro-learning to help its students prepare for internships, jobs and life after graduation.
Join the LT show's effective practice partner, Towards Maturity to explore how to unlock the potential of your organisation, your staff and your L&D team. This lunch and learn session will combine new research insights from Laura Overton and her team with great conversation with your peers.
The session will be divided into three parts, allowing you to grab your lunch and explore tailored keys that help you nail the tactics to
Transform traditional learning in your organisation
Successfully integrate learning and work
Impact engagement, and ultimately learning culture
How Online Learning Delivery Tools Are Changing the Business LandscapeLambda Solutions
Are you using your LMS in full capacity? #eLearningPlatforms like LMSs are crucial today for #TrainingBusiness. Sign up for our webinar to learn about successful learning strategies!
Ever since tech-enabled learning offered a viable alternative to the classroom, we've been extolling the virtues of any-time any-place learning. But has learning innovation kept pace with the new models of any-time any-place working available to today’s worker?
Drawing on research conducted with over 3,000 L&D leaders and 13,000 learners around the globe, this slideshow will explore what the mobile enterprise is looking for from a modernised L&D programme, and how the top learning companies are actually delivering it.
Virtuosity is a complete knowledge management, education and training company, pioneering Technology-aided, Global Learning Solutions in the Indian Academia, ushering in a new era of globally contemporary, boundary less, anytime anywhere learning opportunities for learners across the country.
Virtuosity offers suitable skills enhancement and measurement solutions for all job functions in IT, ITES & BFSI sectors, totaling to about 74% of hiring in the country.
VIEW THE WEBINAR RECORDING:
The launch presentation of our 2014 annual industry Benchmark study, 'Modernising Learning: Delivering Results' - now available to download along with the launch webinar recording and a host of other resources: http://towardsmaturity.org/2014benchmark
The eBook is available for FREE thanks to the support of the Towards Maturity Ambassadors: http://towardsmaturity.org/ambassadors
So are our staff reluctant learners? Or are they just reluctant to engage with the solutions that L&D teams provide? In this presentation, Laura Overton, MD of the benchmarking organisation Towards Maturity, explores perspectives from 500 L&D professionals and over 2,000 learners to uncover insights that will really make a difference to learner engagement in your business. Data was taken from the New Learning Agenda www.towardsmaturity.org/2013benchmark and the Towards Maturity Learning Landscape www.towardsmaturity.org/learner .This presentation was first delivered at the UK Learning Technology Conference 2014.
A paper to simplify the concept of 70:20:10 learning approach and provide definitions, step by step actions and multiple options for each intervention to make your blended learning come alive for the organisation and your learners
The Future of Training and Development - Joseph F Valencia MBAJoseph Valencia
This is a chapter full of valuable information on where the training and development arena is headed. It is critical that the training and development students have an understanding of these trends, for they will have a great effect on the major issues in training and development.
Overcoming eLearning Training Barriers 24x7 Learning
Read this presentation to know :
- The types of eLearning barriers faced by professionals
- What makes a virtual learning experience successful?
- Solutions to overcome the challenges in elearning implementation
- Ways to take virtual learning viral
Visit www.24x7learning.com/resources.html To download the presentation
Or
Write to vinita.tyagi@24x7learning.com if you want a copy of this presentation
Connect to Us:
Facebook: facebook.com/24x7LearningIndia
Twitter: twitter.com/24x7learning
LinkedIn: lnkd.in/6qD2pY
ARE YOU LOOKING TO BOOST SPEED TO COMPETENCE OF NEW STARTERS? CUT THE COST OF TRAINING IN THE FIRST FEW WEEKS? PERSONALISE INDUCTION TRAINING FOR IMPROVED UNDERSTANDING AND BETTER BUSINESS RESULTS?
Join LEO's Director of Strategic Design Andrew Joly from 3-4pm BST on 29th July in LEO's free webinar to find out how to transform your induction and onboarding programme for meaningful, measurable business results. You will have the opportunity to ask questions throughout the webinar to help you create a great first impression with your induction programme.
LEO hosts Toward's Maturity: Modernising LearningLEO
LEO hosted an exclusive event in collaboration with Towards Maturity. It was a chance for senior L&D leaders to network with their peers and discover how to reap the benefits of a technology-enabled learning strategy.
Towards Maturity’s Laura Overton and LEO’s learning experts explored and lead a discussion on how L&D teams in global organisations can use the research to reduce time to competency and boost efficiency and effectiveness of L&D spend.
How to kickstart your learner-centric strategyLaura Overton
How do you help people learn best? By putting them in charge. That’s the thesis of Laura Overton of Towards Maturity and Teresa Rose of E.On Group, who bring together research and experience to demonstrate that a learner-centric approach is not only desirable, it’s a necessity for successful learning at work.
96% of L&D leaders want to increase self-directed learning but we continue to struggle to connect and engage. It's time that L&D worked smarter, to stop blaming their staff for not engaging and to start listening instead.
This practical session will consider how true learning organisations put staff capability at the forefront of their thinking by placing staff at the heart of their strategy. When L&D provide staff with an active voice productivity and engagement flow. Join this interactive panel with Tesco and E.on to find out how to kick start a customer-centric strategy that delivers growth, profit and business transformation:
Challenge your assumptions about how staff really learn
Banish your organisation’s preconceptions about learning
Find out how listening more helps you achieve more
Inject vital evidence to win hearts and minds of managers
Crucial research on the learning voice
The requirements for learning technology have evolved because organizations and their employees have evolved. Today, people are learning in many different ways, often outside of conventional L&D systems.
But investing in the tools to deliver and measure learning in a modern ecosystem requires new approaches to selecting technology as well. Some organizations may just be starting to dabble in learning beyond the LMS, while others aim to fully transform how they deliver and measure L&D. Regardless of where you fall on the “innovation” spectrum, though, RFPs are still geared towards the same old systems.
Join Todd Tauber, Degreed’s VP of Product Marketing, and Mike Rustici, CEO of Watershed, for a 30 minute webinar to learn:
1) What questions to ask when evaluating tools for a new learning ecosystem.
2) How to identify the capabilities you really need instead of the product you think you need to deliver, track, and analyze formal and informal learning
3) Three examples of how leading-edge organizations have successfully created an RFP for a modern ecosystem
Presents a critique of several common approaches to building e-capability on tertiary educational institutions, based on the metaphor of Melbourne's famous trams. The author's first job was as a conductor on the trams. Sadly, the conductors (called "connies") are no longer with us, although the author still is.
The future of data analytics education is marked by diverse trends and innovations. Online learning, micro-credentials, and interdisciplinary approaches are democratizing access and specialization. Technology integration, such as AI and cloud-based labs, enhances learning experiences, while project-based and personalized learning foster practical skills and adaptability. Ethical considerations and industry collaboration are integrated, and interactive tools, gamification, and VR/AR provide engaging education. Challenges include content updates, equitable access, data privacy, and quality assurance. Overall, data analytics education is evolving to meet the demands of a data-driven world, emphasizing adaptability, inclusivity, and ethical practices.
The Future of Data Analytics Education_ Trends and Innovations (2).pdfUncodemy
The future of data analytics education, particularly the Data Analytics Course in Dehradun with Uncodemy, embodies dynamic innovation, adaptability, and an unwavering commitment to preparing individuals for the data-driven world. In an evolving industry, it's imperative to keep education aligned with shifting demands. This entails staying updated with swiftly evolving technologies, addressing concerns about equitable access, navigating the intricacies of data privacy and ethics, and ensuring high quality and consistency in online and micro-credential courses. To fully unlock the potential of data analytics education, it is of utmost importance to invest dedicated efforts, champion inclusivity, and uphold ethical standards. By doing so, we can empower individuals to embark on a journey of learning and professional growth in the field of data analytics, thereby fostering innovation and progress in our data-centric society. Explore the Data Analytics Course in Dehradun with Uncodemy and seize valuable opportunities in this dynamic field.
How Online Learning Delivery Tools Are Changing the Business LandscapeLambda Solutions
Are you using your LMS in full capacity? #eLearningPlatforms like LMSs are crucial today for #TrainingBusiness. Sign up for our webinar to learn about successful learning strategies!
Ever since tech-enabled learning offered a viable alternative to the classroom, we've been extolling the virtues of any-time any-place learning. But has learning innovation kept pace with the new models of any-time any-place working available to today’s worker?
Drawing on research conducted with over 3,000 L&D leaders and 13,000 learners around the globe, this slideshow will explore what the mobile enterprise is looking for from a modernised L&D programme, and how the top learning companies are actually delivering it.
Virtuosity is a complete knowledge management, education and training company, pioneering Technology-aided, Global Learning Solutions in the Indian Academia, ushering in a new era of globally contemporary, boundary less, anytime anywhere learning opportunities for learners across the country.
Virtuosity offers suitable skills enhancement and measurement solutions for all job functions in IT, ITES & BFSI sectors, totaling to about 74% of hiring in the country.
VIEW THE WEBINAR RECORDING:
The launch presentation of our 2014 annual industry Benchmark study, 'Modernising Learning: Delivering Results' - now available to download along with the launch webinar recording and a host of other resources: http://towardsmaturity.org/2014benchmark
The eBook is available for FREE thanks to the support of the Towards Maturity Ambassadors: http://towardsmaturity.org/ambassadors
So are our staff reluctant learners? Or are they just reluctant to engage with the solutions that L&D teams provide? In this presentation, Laura Overton, MD of the benchmarking organisation Towards Maturity, explores perspectives from 500 L&D professionals and over 2,000 learners to uncover insights that will really make a difference to learner engagement in your business. Data was taken from the New Learning Agenda www.towardsmaturity.org/2013benchmark and the Towards Maturity Learning Landscape www.towardsmaturity.org/learner .This presentation was first delivered at the UK Learning Technology Conference 2014.
A paper to simplify the concept of 70:20:10 learning approach and provide definitions, step by step actions and multiple options for each intervention to make your blended learning come alive for the organisation and your learners
The Future of Training and Development - Joseph F Valencia MBAJoseph Valencia
This is a chapter full of valuable information on where the training and development arena is headed. It is critical that the training and development students have an understanding of these trends, for they will have a great effect on the major issues in training and development.
Overcoming eLearning Training Barriers 24x7 Learning
Read this presentation to know :
- The types of eLearning barriers faced by professionals
- What makes a virtual learning experience successful?
- Solutions to overcome the challenges in elearning implementation
- Ways to take virtual learning viral
Visit www.24x7learning.com/resources.html To download the presentation
Or
Write to vinita.tyagi@24x7learning.com if you want a copy of this presentation
Connect to Us:
Facebook: facebook.com/24x7LearningIndia
Twitter: twitter.com/24x7learning
LinkedIn: lnkd.in/6qD2pY
ARE YOU LOOKING TO BOOST SPEED TO COMPETENCE OF NEW STARTERS? CUT THE COST OF TRAINING IN THE FIRST FEW WEEKS? PERSONALISE INDUCTION TRAINING FOR IMPROVED UNDERSTANDING AND BETTER BUSINESS RESULTS?
Join LEO's Director of Strategic Design Andrew Joly from 3-4pm BST on 29th July in LEO's free webinar to find out how to transform your induction and onboarding programme for meaningful, measurable business results. You will have the opportunity to ask questions throughout the webinar to help you create a great first impression with your induction programme.
LEO hosts Toward's Maturity: Modernising LearningLEO
LEO hosted an exclusive event in collaboration with Towards Maturity. It was a chance for senior L&D leaders to network with their peers and discover how to reap the benefits of a technology-enabled learning strategy.
Towards Maturity’s Laura Overton and LEO’s learning experts explored and lead a discussion on how L&D teams in global organisations can use the research to reduce time to competency and boost efficiency and effectiveness of L&D spend.
How to kickstart your learner-centric strategyLaura Overton
How do you help people learn best? By putting them in charge. That’s the thesis of Laura Overton of Towards Maturity and Teresa Rose of E.On Group, who bring together research and experience to demonstrate that a learner-centric approach is not only desirable, it’s a necessity for successful learning at work.
96% of L&D leaders want to increase self-directed learning but we continue to struggle to connect and engage. It's time that L&D worked smarter, to stop blaming their staff for not engaging and to start listening instead.
This practical session will consider how true learning organisations put staff capability at the forefront of their thinking by placing staff at the heart of their strategy. When L&D provide staff with an active voice productivity and engagement flow. Join this interactive panel with Tesco and E.on to find out how to kick start a customer-centric strategy that delivers growth, profit and business transformation:
Challenge your assumptions about how staff really learn
Banish your organisation’s preconceptions about learning
Find out how listening more helps you achieve more
Inject vital evidence to win hearts and minds of managers
Crucial research on the learning voice
The requirements for learning technology have evolved because organizations and their employees have evolved. Today, people are learning in many different ways, often outside of conventional L&D systems.
But investing in the tools to deliver and measure learning in a modern ecosystem requires new approaches to selecting technology as well. Some organizations may just be starting to dabble in learning beyond the LMS, while others aim to fully transform how they deliver and measure L&D. Regardless of where you fall on the “innovation” spectrum, though, RFPs are still geared towards the same old systems.
Join Todd Tauber, Degreed’s VP of Product Marketing, and Mike Rustici, CEO of Watershed, for a 30 minute webinar to learn:
1) What questions to ask when evaluating tools for a new learning ecosystem.
2) How to identify the capabilities you really need instead of the product you think you need to deliver, track, and analyze formal and informal learning
3) Three examples of how leading-edge organizations have successfully created an RFP for a modern ecosystem
Presents a critique of several common approaches to building e-capability on tertiary educational institutions, based on the metaphor of Melbourne's famous trams. The author's first job was as a conductor on the trams. Sadly, the conductors (called "connies") are no longer with us, although the author still is.
The future of data analytics education is marked by diverse trends and innovations. Online learning, micro-credentials, and interdisciplinary approaches are democratizing access and specialization. Technology integration, such as AI and cloud-based labs, enhances learning experiences, while project-based and personalized learning foster practical skills and adaptability. Ethical considerations and industry collaboration are integrated, and interactive tools, gamification, and VR/AR provide engaging education. Challenges include content updates, equitable access, data privacy, and quality assurance. Overall, data analytics education is evolving to meet the demands of a data-driven world, emphasizing adaptability, inclusivity, and ethical practices.
The Future of Data Analytics Education_ Trends and Innovations (2).pdfUncodemy
The future of data analytics education, particularly the Data Analytics Course in Dehradun with Uncodemy, embodies dynamic innovation, adaptability, and an unwavering commitment to preparing individuals for the data-driven world. In an evolving industry, it's imperative to keep education aligned with shifting demands. This entails staying updated with swiftly evolving technologies, addressing concerns about equitable access, navigating the intricacies of data privacy and ethics, and ensuring high quality and consistency in online and micro-credential courses. To fully unlock the potential of data analytics education, it is of utmost importance to invest dedicated efforts, champion inclusivity, and uphold ethical standards. By doing so, we can empower individuals to embark on a journey of learning and professional growth in the field of data analytics, thereby fostering innovation and progress in our data-centric society. Explore the Data Analytics Course in Dehradun with Uncodemy and seize valuable opportunities in this dynamic field.
Artificial intelligence is the field of computer science that aims to make a machine act like a human. It does this by giving it the ability to learn and understand the world around it. And this field has been advancing at an amazing pace in recent years. For example, we have AI that can play chess better than any human, AI that can recognize faces more accurately than any person, and AI that can translate languages more fluently than any human. There are many different types of artificial intelligence algorithms such as supervised learning, unsupervised learning and reinforcement learning.
Data Science Course: A Gateway to the World of Insights and Opportunities Uncodemy
Data science, a multidisciplinary field, has emerged as a powerful tool for extracting meaningful insights from vast and complex datasets. As the demand for data-driven solutions grows, so does the requirement for skilled data scientists who can unlock the potential of data.
How artificial intelligence is revolutionizing learning and development pract...Charles Cotter, PhD
How artificial intelligence is revolutionizing and disrupting learning and development practices throughout the ADDIE value chain - analysis, design, development, delivery and evaluation
Unlock the Power of Data Science with Training in MumbaiThe Interface™
CloudLearn ERP is one stop solutions for Data Science and SAP training, Big Data, Data Analytics Training. Cloud learn ERP is one of best Data Science training in Mumbai.
Data Science Courses in Mumbai Learn the Latest Tools and Techniques for Care...The Interface™
CloudLearn ERP is one stop solutions for Data Science and SAP training, Big Data, Data Analytics Training. Cloud learn ERP is one of best Data Science training in Mumbai.
We are represented world-class Data Science training in Mumbai, Best SAP training in Mumbai, Data Science course in Mumbai, Data Analytics preparing in Mumbai, Big Data training in Mumbai, Hadoop training in Mumbai, Python training in Mumbai, Cloud Computing Training in Mumbai, AWS training in Mumbai,
Azure preparing in Mumbai, Salesforce preparing in Mumbai, SAP training in Mumbai. You can here legitimately contact for preparing in Mumbai or any data. So continue visiting our sites to get update.
Free course to boost your carrer in HR IndustryShekunjEdu
In the dynamic landscape of today's job market, continuous learning is more than just a buzzword – it's a strategic necessity. The traditional career trajectory of completing formal education and relying on that knowledge throughout one's working life is increasingly becoming outdated. As industries evolve, technologies advance, and job requirements change, professionals must actively seek opportunities for skill development and knowledge enhancement. Free online courses emerge as a powerful and accessible solution to bridge the gap between existing skills and the ever-evolving demands of the job market. In this comprehensive exploration, we delve into the manifold ways in which free courses contribute to career growth.
1. Accessibility and Affordability:
The most apparent advantage of free courses is their accessibility and affordability.
Traditional education, with its associated costs of tuition, textbooks, and living expenses, can be a significant financial burden. In contrast, free courses, often available online, eliminate these financial barriers. This accessibility allows individuals from diverse socioeconomic backgrounds to access quality education and acquire skills that can propel their careers forward. Whether you are a recent graduate, a mid-career professional seeking to pivot, or someone looking to upskill in their current role, free courses provide an inclusive platform for learning.
2. Skill Diversification and Specialization:
Free courses cover a vast array of subjects, ranging from technical skills like programming and data analysis to soft skills like communication and leadership. This diversity allows individuals to explore different domains, diversify their skill set, and discover new passions. For instance, a marketing professional interested in data analytics can take free courses in data visualization or statistical analysis. This skill diversification not only enhances employability but also opens doors to interdisciplinary roles that require a blend of technical and soft skills. Furthermore, free courses often offer specialized training in niche areas, making learners more competitive in specific industries or roles.
3. Career Advancement:
To climb the career ladder, individuals need to demonstrate a commitment to professional development. Free courses provide a platform for continuous learning, allowing employees to stay relevant in their current roles and prepare for advancement opportunities. A marketing manager, for instance, might take free courses in digital marketing trends, SEO strategies, or data-driven decision-making to stay ahead in a rapidly evolving field. These additional skills not only make employees more valuable to their current employers but also position them as strong candidates for higher-level positions within the company or in the job market.
https://www.shekunj.com/courses
Unlocking the Benefits of Data Science Training in MumbaiThe Interface™
CloudLearn ERP is one stop solutions for Data Science and SAP training, Big Data, Data Analytics Training. Cloud learn ERP is one of best Data Science training in Mumbai.
BUSINESS SCHOOL MAKEOVER; A INDUSTRY PERSPECTIVEIJITE
Business schools across the United States and abroad are always on a catchup mode with the industry expectations. Why business schools are not front runners in training students for industry and consulting? Authors of this article discuss this topic by first setting the expectations from the industry and then how business schools can cope up with the evolving trends. Many authors ([1], [11], [13]) have identified the skill gaps in the industry and how business schools can work towards bridging the gap. There are research reports such as [13], that identified the misconception about the business schools expectations based on a survey of business school leaders globally (excluding China and USA). In the USA, even though business schools have strived hard to create an industry pro-environment in the class rooms, the gap continues to exist. The authors of this article address the industry needs first and explore potential solutions to address the skills gap
Corporate and higher education. Two industries that, in the past, have had a clear divide with very little crossover. The difference in goals, learning styles and objectives paved the way for differing learning technologies platforms to evolve. Now, those stark lines are blurring as both sides are discovering they have content that’s relevant to the other.
Join Tammy Rutherford as she walks through the pros and cons of corporate and higher ed collaborating. And the challenges of these different technology platforms working together for a brighter future.
Training and development through e learning a case studyTapasya123
Telecom sector plays an important role in supporting the growth of other
sectors of the Indian economy .Indian Telecom Industry has a multiplier
effect in the country and also contributes in the efficiency of the economy
India's internet industry is expected to contributes US$ 100 billion to
India's gross domestic product (GDP). With contributing of about 5.3% in
India’s GDP, telecommunications with Information Technology has
significantly accelerated the growth rate of the economic and social sectors
of India very clearly. In fact, the National Telecom Policy 2012 (NTP 2012)
works with a vision to transform the country into a more empowered and
inclusive knowledge-based country, using telecommunications as an
important platform. According to the World Bank, a 10% increase in
mobile penetration boosts per capita and GDP by 0.8% points in developing
nations. Through this paper researcher wants to discuss
telecommunication sector as a prime driver in accelerating India’s
economic growth. Indian Telecom Industry has a multiplier effect in the
country and also contributes in the efficiency of the economy.
Similar to Analytics Education — A Primer & Learning Path (20)
The agenda of the talk has been broken down into two parts: 1. Query Understanding [30mins]: [Sonu Sharma] • NLP based Deep Learning Models for finding the intent of a Query in a particular taxonomy/categories: Description and Jupyter-notebook demonstration [20mins]: o Multi-Label/Multi-Class Classification Model from scratch in Keras o Feature Engineering in Spark Scala and pandas o Keras Functional APIs details in TF 2.0 o ImageNet moment of NLP - Latest invention in Word embeddings – ELMO and BeRT o Understanding Deep Neural Networks like Bi-directional Long Short-term Memory (BiLSTM) and character embeddings for language modeling • NLP based Deep Learning Models for Query Tagging with entities like Brand, Color, Nutrition, product quantity, etc. using Named Entity Recognition: [10mins]: o Building custom model in Tensorflow Estimator API o Traditional Word Embeddings like Glove, Fasttext etc. o Query (Text) Preprocessing o Sequence modeling using Convolutional Random Fields (CRF) o Saving and Restore heavy model in TF using SavedModel concept 2. Related Searches [20mins]: [Atul Agarwal] • NLP based Deep Learning Model for predicting Next Search Keyword – Model Description and Jupyter Notebook demonstration[20mins]: o Building Sequence to Sequence (Seq2Seq) model using Long Short Term Memory (LSTM) concept of Deep Neural Network in Keras o comparing different word Embeddings e.g. word2vec, fasttext, glove, etc. in popular AI framework such as gensim. o Keras Sequential APIs details in Keras o Similarity Search based on Facebook AI Research aka FAISS.
The idea is to spot people suffering from prolonged stress and how to offer a solution for the long term sufferers by predicting and analyzing their emotions using brainwaves recorded through Neurosky Brainwave Headset. The body produces larger quantities of the chemical cortisol and they trigger an increased heart rate, heightened muscle preparedness, sweating and alertness. Emotional stress is a primary factor to the six leading causes of death. It is a feeling of emotional or physical tension that makes a person feel frustrated, angry and nervous. They can be positive when it helps to avoid risk or meet a deadline. But when the stress lasts for a long time, it may ruin our health. To refrain from this situation, the individuals recognized with stress pattern are asked to listen to soft music and the brainwave pattern is recorded in response. We use neural network architectures with attention mechanism to identify the pattern and predict the emotional state of a person.
Flood & Other Disaster forecasting using Predictive Modelling and Artificial ...Analytics India Magazine
Over 2.3 Billion people are affected due to floods in last 20 years and causing countless death , More than 92,million cattle are lost every year, seven million hectares of land is affected, and damage is over trillions dollars when taken globally in last 5 years. Floods are complicated natural events. It depends on several parameters, so it is very difficult to model analytically. The floods in a catchment depends on the characteristics of the catchment, rainfall and antecedent conditions. So the estimation of the flood peak is a very complex problem. Its due to the lack of Flood Prediction System which can predict the situation accurately. To Overcome this challenge we are building a Flood Prediction System using Predictive modelling. However we have divided our idea into small fragments but enough to be used globally. We have considered most flooded state of India, but can be used widely for all the low lying geographical regions. •The plains of Bihar, adjoining Nepal, are drained by a number of rivers that have their catchments in the steep and geologically nascent Himalayas. Kosi, Gandak,Burhi Gandak, Bagmati, Kamla Balan, Mahananda and Adhwara Group of rivers originates in Nepal, carry high discharge and very high sediment load and drops it down in the plains of Bihar. · About 65% of catchments area of these rivers falls in Nepal/Tibet and only 35% of catchments area lies in Bihar. · Bihar is India’s most flood-prone State, with 76 percent of the population, in the north Bihar living under the recurring threat of flood devastation. About 68800 sq Km out of total geographical area of 94163 sq Km comprising 73.06 percent is flood affected. · According to some historical data, 16.5% of the total flood affected area in India is located in Bihar while 22.1% of the flood affected population in India lives in Bihar. · From 1979 to Present day more than 8,873 Humans & 27,573 animals have lost their life due to flood. Some of Tools & Technology which is being used & can be used for Flood Prediction: •IBM. Watson Studio democratizes machine learning and deep learning to accelerate infusion of AI in to drive innovation. •An Intelligent Hydro-informatics Integration Platform for Regional Flood Inundation Warning Systems. •Three-Parameter Muskingum Model Coupled with an Improved Bat Algorithm. · Deep Learning with a Long Short-Term Memory Networks Approach for Rainfall-Runoff Simulation
AI for Enterprises-The Value Paradigm By Venkat Subramanian VP Marketing at B...Analytics India Magazine
AI is here, call it buzz, cause it a bubble, we are smack in the middle of an AI revolution. While there is a strong view building about consumer AI applications, there still seems to be some scepticism about AI for enterprises, primarily due to the lack of clarity and focus on how AI can actually deliver value for enterprises. At BRIDGEi2i, we believe it is important to have a non-fragmented view of the AI ecosystem and a “Value Roadmap” for AI in the enterprise context. As CxOs, it is important to understand where the enterprise is in the transformation journey and define value accordingly. This talk will throw light on how to look at the enterprise AI ecosystem and build the right roadmap for value.
Keep it simple and it works - Simplicity and sticking to fundamentals in the ...Analytics India Magazine
With the buzz around AI and ML there is an increasing tendency for leaders and data scientists to move towards complex problem-solving. Its important to unlearn the tendency to gravitate towards complexity. In this talk we will see why avoiding complexity in ML solutions is a wiser and a quicker way to solve business problems. We can also visit some thumb rules to build pragmatic and useful models. Simplicity and sticking to fundamentals is the next "big" thing in the world of big data.
Feature Based Opinion Mining By Gourab Nath Core Faculty – Data Science at Pr...Analytics India Magazine
Suppose that a customer who has given a high rating about a mobile phone writes the following review about the product: The front camera of the phone is excellent! Truly speaking, this is the best front camera I have experienced so far. From this review, we can understand two things. First, the customer holds a positive opinion about the phone. Secondly, the front camera of the phone is the targeted feature on which the opinions have been expressed in the review. In this workshop, we will be particularly interested in discovering patterns as indicated in the second case. We will discuss a framework that enables us to first discover the targets on which the opinions have been expressed in a review and then determine the polarity of the opinions. This kind of detailed analysis helps us to discover the components or features of the products which the customers have liked or disliked and thus help us to better summarize the information.
Deciphering AI - Unlocking the Black Box of AIML with State-of-the-Art Techno...Analytics India Magazine
Most organizations understand the predictive power and the potential gains from AIML, but AI and ML are still now a black box technology for them. While deep learning and neural networks can provide excellent inputs to businesses, leaders are challenged to use them because of the complete blind faith required to ‘trust’ AI. In this talk we will use the latest technological developments from researchers, the US defense department, and the industry to unbox the black box and provide businesses a clear understanding of the policy levers that they can pull, why, and by how much, to make effective decisions?
Getting your first job in Data Science By Imaad Mohamed Khan Founder-in-Resid...Analytics India Magazine
Getting your first job in Data Science is difficult. You’ve been applying to jobs, but they keep rejecting you. You don’t know what to do and how you could differentiate yourselves amidst the pool of candidates? In this talk, we’ll be going through different tips and techniques you could use to find that elusive Data Science jobs. They’ve worked for me and probably will work for you too!
With enterprises putting digital at the core of their transformation, our annual Data Science & AI Trends Report explores the key strategic shifts enterprises will make to stay intelligent and agile going into 2019. The year was marked by a series of technological advances, including advances in AI, deep learning, machine learning, hybrid cloud architecture, edge computing (with data moving away to edge data centres), robotic process automation, a spurt of virtual assistants, advancements in autonomous tech and IoT.
Everyone is talking about Artificial Intelligence — the new normal, which has entered almost every work process across industries. Enterprises are rethinking and strengthening their AI capabilities, using it as a tool to improve products and services. With AI becoming crucial to enterprise success, upskilling has become the new mantra among Indian IT professionals, who are keen to make an impact in their careers with Machine Learning and AI.
In our annual AI Study with Great Learning, we take a look at key AI trends dominating the Indian AI market-leading companies, professionals, salaries, jobs broken down by cities and how AI’s potential for industry growth has risen over the last few years. In the second half of the study, we cover AI literacy in India through Great Learning’s comprehensive AI/ML programs that are bridging the current skill gap and consequently boosting workforce transitions.
The samples were collected by asking respondents to fill in a survey created by AIM about what tools and techniques data scientists use at work. This included various sub-topics such as data visualisation tools, preferred operating systems and programming languages, among others. We took opinions from all those who practice data science — from professionals with less than two years of experience to CXOs — to get a thorough idea of the working environment in this growing field.
Our survey was met with much enthusiasm — and we got some great insights from it. Some of them were expected, and many of them were real eye-openers.
Predicting outcome of legal case using machine learning algorithms By Ankita ...Analytics India Magazine
Although not untouched by the advancements in technology, Legal domain is usually not considered to be an early adaptor. Barring the usual administrative functions, the practice of law requires significant cognitive capabilities of a human mind along with its greater problem solving capabilities. Although a wider conclusion rules out the usage of AI in this field, there are few tasks for which AI can provide a reasonable conclusion in this field. Even though the results may not be always accurate, but any instances where approximation is acceptable AI can possibly help in a great way to reduce human dependency and their intelligence driven decision making ability. The discussion is based on a project carried out as part of an academic requirement which tries to provide a framework for prediction of the legal outcome and also tries to analyze how the results can help augmenting the decisions taken by the para legal experts.
Bringing AI into the Enterprise - A Practitioner's view By Piyush Chowhan CIO...Analytics India Magazine
Artificial Intelligence is slowly getting its way into organisations. AI journey can be quite complex and a proper roadmap would be needed to realize the benefits. This presentation will talk about common myth and a high level approach for bringing AI into the enterprise.
www.analyticsindiasummit.com
Explainable deep learning with applications in Healthcare By Sunil Kumar Vupp...Analytics India Magazine
We started relying on the decisions made by deep learning models, however why it works and how it works are still big questions for most of us. We shall try to open that black box of deep learning which is essential to build trust for wide spread adoption. The speaker shall address the importance of feature visualization and localization in deep learning models esp. convolutional neural networks. He shares the results of applying methods such as activation map, deconvolution and Grad-CAM in healthcare.
Getting started with text mining By Mathangi Sri Head of Data Science at Phon...Analytics India Magazine
The workshop will empower you and get started with analyzing text data, discover patterns and what are the best ways to convert unstructured to structured data. We will also build a quick classification model and understand techniques to improve model performance. Towards the end lets quickly do a sentiment analysis on data corpus and discuss the next steps to improve model accuracy. Please come prepared with a working laptop with Jupyter Notebook and Python 2.7. Participants who have a minimum working knowledge of supervised models is encouraged.
“Who Moved My Cheese?” – Sniff the changes and stay relevant as an analytics ...Analytics India Magazine
The “Sexiest job of the 21st century” is often surveyed to be poorly defined, intermittently satisfying and vaguely understood in most board rooms. As success stories are widely publicized, senior business leaders’ expectations from analytics are rising quickly. And the field itself is changing rapidly - with speciality skills becoming self-service in no time. In that context, the talk explores how the various analytics roles across the spectrum are changing. And what it takes for analytics professionals to stay relevant, contribute meaningfully to business results and play a critical role in shaping business strategy.
www.analyticsindiasummit.com
"Route risks using driving data on road segments" By Jayanta Kumar Pal Staff ...Analytics India Magazine
Going out for dinner in Mumbai during an extended stay, or planning for a long road-trip across the wild west of Rajasthan, the first thing one looks at is Maps, that informs the relative distance, estimated time and congestion areas of different routes for the drive. Zendrive built state-of-the-art technologies on its huge cache of driving data from smartphones and OBD, to add a significant dimension to the route mapping of Google, that is safety risk of the route. Essentially the technology is built on millions of drivers zipping through the route or segments thereof. Automobile Insurance expands in UBI- where it has been established that tracking a driver’s behavior behind the wheels (like Hard Brake, Speeding etc) can predict significant differences between their chances of collisions. Looking at the same event data from the road perspective, aggregating the relative event density on road stretches also predict the relative chances of collision on that segment. We have used map matching using GIS techniques, parametric density estimation and rare event modeling using quasi-Poisson GLM to analyze our data, build the models and finally implement the scoring system across the GIS route maps. Key learnings : Relation between dangerous driving events and collisions Route risk as an aggregate of all the drivers (or sample thereof) and their driving risk. The route you take for commute may determine your auto insurance. Outline : Usage Based Insurance : relation between collision rates and dangerous driving. Driving events : aggressive acceleration, hard brake, speeding, phone use, aggressive turns Poisson GLM modeling to predict collision rates using driving data Events on a road segment : map-matching using GIS techniques to split trips along road stretches, and aggregate such events along the spatio-temporal dimension across all drivers. Route risk of the road segment and any route comprising such segments. Driving risk along such routes and corresponding collision risks using transfer of the GLM model. Assignment of risks to drivers on their daily route of commute, to be used in UBI.
www.analyticsindiasummit.com
“Who Moved My Cheese?” – Sniff the changes and stay relevant as an analytics ...Analytics India Magazine
By Phani Mitra VP Analytics & Strategy at Dr. Reddy’s
The “Sexiest job of the 21st century” is often surveyed to be poorly defined, intermittently satisfying and vaguely understood in most board rooms. As success stories are widely publicized, senior business leaders’ expectations from analytics are rising quickly. And the field itself is changing rapidly - with speciality skills becoming self-service in no time. In that context, the talk explores how the various analytics roles across the spectrum are changing. And what it takes for analytics professionals to stay relevant, contribute meaningfully to business results and play a critical role in shaping business strategy.
www.analyticsindiasummit.com
Analytics & Data Science Industry In India: Study 2018 - by AnalytixLabs & AIMAnalytics India Magazine
The data analytics market in India is growing at a fast pace, with companies and startups offering analytics services and products catering to various industries. Different sectors have seen different penetration and adoption of analytics, and so is the revenue generation from these sectors.
The Analytics and Data Science Industry Study 2018 takes into account various trends that analytics industry in India is witnessing, revenue generated through various geographies, analytics market size by sector, across cities etc. It also takes into consideration analytics professionals in India across work experience and education.
This year’s study is brought to you in association with AnalytixLabs, a pioneer and one of the first analytics training institutes in India. The study is a result of extensive primary and secondary research conducted over a duration of two months, where we got in touch with analytics companies and professionals across various industries such as banking, finance, ecommerce, retail, pharma, healthcare and others.
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
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2. Comparing various launch configs for CUDA based vector multiply.
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1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
Show drafts
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Empowering the Data Analytics Ecosystem: A Laser Focus on Value
The data analytics ecosystem thrives when every component functions at its peak, unlocking the true potential of data. Here's a laser focus on key areas for an empowered ecosystem:
1. Democratize Access, Not Data:
Granular Access Controls: Provide users with self-service tools tailored to their specific needs, preventing data overload and misuse.
Data Catalogs: Implement robust data catalogs for easy discovery and understanding of available data sources.
2. Foster Collaboration with Clear Roles:
Data Mesh Architecture: Break down data silos by creating a distributed data ownership model with clear ownership and responsibilities.
Collaborative Workspaces: Utilize interactive platforms where data scientists, analysts, and domain experts can work seamlessly together.
3. Leverage Advanced Analytics Strategically:
AI-powered Automation: Automate repetitive tasks like data cleaning and feature engineering, freeing up data talent for higher-level analysis.
Right-Tool Selection: Strategically choose the most effective advanced analytics techniques (e.g., AI, ML) based on specific business problems.
4. Prioritize Data Quality with Automation:
Automated Data Validation: Implement automated data quality checks to identify and rectify errors at the source, minimizing downstream issues.
Data Lineage Tracking: Track the flow of data throughout the ecosystem, ensuring transparency and facilitating root cause analysis for errors.
5. Cultivate a Data-Driven Mindset:
Metrics-Driven Performance Management: Align KPIs and performance metrics with data-driven insights to ensure actionable decision making.
Data Storytelling Workshops: Equip stakeholders with the skills to translate complex data findings into compelling narratives that drive action.
Benefits of a Precise Ecosystem:
Sharpened Focus: Precise access and clear roles ensure everyone works with the most relevant data, maximizing efficiency.
Actionable Insights: Strategic analytics and automated quality checks lead to more reliable and actionable data insights.
Continuous Improvement: Data-driven performance management fosters a culture of learning and continuous improvement.
Sustainable Growth: Empowered by data, organizations can make informed decisions to drive sustainable growth and innovation.
By focusing on these precise actions, organizations can create an empowered data analytics ecosystem that delivers real value by driving data-driven decisions and maximizing the return on their data investment.
Explore our comprehensive data analysis project presentation on predicting product ad campaign performance. Learn how data-driven insights can optimize your marketing strategies and enhance campaign effectiveness. Perfect for professionals and students looking to understand the power of data analysis in advertising. for more details visit: https://bostoninstituteofanalytics.org/data-science-and-artificial-intelligence/
1. A PRIMER & LEARNING PATH
ANALYTICS
EDUCATION
A REPORT BY
ANALYTICS INDIA MAGAZINE
2. ANALYTICS EDUCATION | A PRIMER & LEARNING PATH
REPORT BY AIMREPORT BY AIM
ANALYTICS EDUCATION | A PRIMER & LEARNING PATH
PAGE 2 PAGE 3
Executive Summary
01
CONTENTS
TABLE OF
04 20
06 22
10 24
12
14
26
18
Career Tracks
07
Different Models Of
Analytics Education
Providers In India
02
Cost benefits of
E-learning
08
How to choose the
right model
03
Networking
Opportunity
09
How to choose the
right course
04
Pre-requisites in
terms of skills
and tools
05
Continued Learning
10
Learning Path
06
3. ANALYTICS EDUCATION | A PRIMER & LEARNING PATH
REPORT BY AIMREPORT BY AIM
ANALYTICS EDUCATION | A PRIMER & LEARNING PATH
PAGE 4 PAGE 5
SUMMARY
EXECUTIVE Fostering Close Partnership With
Corporate/Industry Players
Well-Developed Digital
Learning Environment
Winning Pedagogy
Innovative Learning
Tools
Keeping A Pulse On
Analytics Market
Tie-Ups With Highly Ranked Foreign
Universities
Some Of The
Defining
Characteristics
And Strengths Of
Institutions
There is a tremendous uptake for
data science education in India and
the preferred model of delivery is
blended or wholly online. For learn-
ers, who are looking to pivot to data
science, there is a trove of informa-
tion out there on how to get start-
ed. While there’s heaps of informa-
tion on data science for beginners,
what’s lacking is a primer on how
to choose the right institute that
could be crucial in your long terms
strategy of success. In this highly
competitive education market, it can
be hard to find a “career-focused”
learning model, featuring excellent
faculty and delivering the right ac-
creditation—the most valuable as-
set for potential students.
Through this primer, Analytics In-
dia Magazine explains which learn-
ing model is best suited for you, the
learning path and how to choose
the right education partner. In the
analytics education market, online
courses serve non-traditional stu-
dents, working professionals and
graduates in need of continuous
learning. There is a growing number
of high-profile institutions and niche
institutions that provide specialized,
career-advancing education.
4. ANALYTICS EDUCATION | A PRIMER & LEARNING PATH
REPORT BY AIMREPORT BY AIM
ANALYTICS EDUCATION | A PRIMER & LEARNING PATH
PAGE 6 PAGE 7
DIFFERENT MODELS OF
ANALYTICS EDUCATION
PROVIDERS IN INDIA
Thenatureofanalyticseducationhas
drastically evolved over the years
and a mix of models have emerged
in the online space to accommo-
date the changing requirements of
learners. Our survey revealed re-
spondents seek a career-focused
analytics education augmented by
classroom setting that prepares
them for job functions in data ana-
lytics space. In cases where learn-
ing is delivered purely online, par-
ticipants look for real-time learning
in a format that allows learners to
pursue it at their own pace. Candi-
dates look for course content creat-
ed by top instructors, with industry
and university collaboration to pro-
vide a well-rounded analytics edu-
cation. Executive courses also make
for a high demand as these are in-
tended for senior professionals who
want to renew their skillset and un-
derstand how data can be helpful
in managerial decision making. In
case of executive analytics courses,
technical skills such as data man-
agement are augmented by soft
skills such as business understand-
ing and communication.
Analytics education providers in
India mostly offer Business Analyt-
ics (BA) and Business Intelligence
(BI) programs that combine analyt-
ical number crunching, reporting
and visualization techniques.
5. ANALYTICS EDUCATION | A PRIMER & LEARNING PATH
REPORT BY AIMREPORT BY AIM
ANALYTICS EDUCATION | A PRIMER & LEARNING PATH
PAGE 8 PAGE 9
BROADLY SPEAKING, COURSES FALL INTO THE FOLLOWING BUCKETS
FULLY ONLINE COURSES BLENDED COURSES HYBRID COURSES
SELF PACED LEARNING
INSTRUCTOR LED ONLINE
INSTRUCTOR LED ONLINE + WEEKEND CLASSES
SELF-PACED + WEEKEND CLASSES
HYBRID - SELF PACED + INSTRUCTOR LED ONLINE
T h e s e c a n b e f u r t h e r c a t e g o r i z e d i n t o
The self-paced, fully online courses are instructor-led
courses that offer an excellent, personalized learning
experience and are targeted at working professionals
who want to transition to this lucrative field. Online
courses offer basic communication forums such as Q &
A forums, chat-rooms where students can interact and
network. These programs meet the rising demand for
data analysts and data scientists.
Mostly short-term, online programs give working stu-
dents a chance to upskill and an opportunity to be men-
tored by industry veterans. While they may fall short
on personalization and student-centricity, the upside
is they are cost effective and offer a way to upskill in
a short period of time. A lot depends on the learners’
ingenuity as well to imbibe skills quickly in a remote,
online environment. Geared at early, mid and senior
working professionals, the flexibility of online courses
have made them popular academic choice among this
segment.
Personalized instruction is one of the key features of
blended learning model that combines the best of class-
room rigor and convenience of an online learning. An
extremely popular learning model, blended learning
offers on-site support to students and even features in-
dustry meet-ups. Blended courses offer a guided, self-
paced learning environment with small class sizes. This
type of instructor based, online mentoring is best suited
for data science field that requires concept-based train-
ing.
Executive online courses usually fall in the blended cat-
egory. Executive courses are intended for professionals
who want to renew their skillset and understand how
data can be helpful in managerial decision making. Rec-
ognizing this growing need for business-focused, da-
ta-oriented analytics programs, private analytics train-
ing institutes or data science training institutes in India
have developed cutting-edge programs in close part-
nership with industry leaders such as IBM, Genpact,
Tech Mahindra, SAS among others.
While there is a thin line between hybrid and blended
courses, hybrid courses combine classroom learning
and face time with online content and project work.
This format allows for more flexibility and results in
greater student engagement. Hybrid experiences allow
students to balance their work-life effectively and the
online component effectively supplement traditional
classroom learning. What sets apart hybrid from blend-
ed learning format is that in the former, a significant
amount of learning is moved to online and classroom
time is reduced.
6. ANALYTICS EDUCATION | A PRIMER & LEARNING PATH
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PAGE 10 PAGE 11
HOW TO CHOOSE
THE RIGHT LEARNING MODEL
1
3
5
4
2
Identify the skill gap & your future
role, based on that, choose the right
model. One of the key ideas is to
identify where you are at your learn-
ing journey. If you are just starting
out on the data science career track,
you will need more than just a bun-
dled knowledge set to make a tran-
sition. If you are learning data sci-
ence with the intention to advance
your career, you would ideally look
for a Learning Model that offers
personalized mentorship by indus-
try experts, coupled with capstone
projects and career advice such as
mock interviews and job placement
opportunities.
DEFINE YOUR GOALS, BOTH ACADEMICALLY AND PROFESSIONALLY
BEFORE DIVING INTO A LEARNING MODEL AND ASK YOURSELF THESE
QUESTIONS:
Is the objective to gain a deep understanding of big data tools and
technologies? Can you set aside six-eight hours per week to build
your knowledge. In this case, an exhaustive PG program would
be better than a short-term tool based big data program.
Looking to build a foundation base in data science and maximize your
skillset? Do you also plan to go for interviews – then blended
learning model is your answer. Plus, classroom sessions would also
help in networking opportunities.
Do you want to build your career on the business analytics side
or big data technology side. Choose the program that fits your
needs and requirements effectively.
Before zeroing in on a particular model, you should ideally grade
them on various parameters – content style, depth of subject covered,
instructor profile, relative certificate weightage given by prospective
employers and job prospects
Do you want to build your career on the business analytics side
or big data technology side. Choose the program that fits your
needs and requirements effectively.
7. REPORT BY AIMREPORT BY AIM
ANALYTICS EDUCATION | A PRIMER & LEARNING PATH
PAGE 12 PAGE 13
HOW TO CHOOSE
THE RIGHT COURSE
NOW THAT YOU HAVE DECIDED TO GO FOR A PARTICULAR MODEL
HERE ARE THE FACTORS TO CONSIDER
BRAND VALUE SKILLS & TOOLS
COVERED
RESOURCES, ACCESS
TO DATA SETS
ALUMNI SUCCESS FACULTY
Besidesthesekeyfactors,thecourse
has to be worth the investment and
offer placement opportunity. Un-
derstand the length and breadth of
the course material as the more in-
depth the course, the better. Proj-
ect-based courses can offer more
data solutions examples to add to
your portfolio and the hands-on an-
alytics experience can help you land
a plum job. Also, find out what kind
of theoretical background special-
ization is required before taking up
a particular course. Online instruc-
tor-led courses and weekend cours-
es can help you get more feedback
from faculty, career advice and en-
sure you stay right on the track.
Make sure you do more diligence on
the ROI of these courses by tapping
into alumni network and find out
more about the quality of diploma/
certificate offered.]1[ ]2[ ]3[
]4[ ]5[
Place more emphasis on renowned
institutions that can offer better
career opportunities.
Data science is a diverse field so look
out for a program that covers all the
necessary pipeline effectively. If you
are focused on specific topics, such
as deep learning, you can take it up
as a side course. Even though tools
are important, you should also base
the decision on the core data science
skills the program
imparts.
Seek out a project-oriented,
practical portfolio building program
that will empower you with both
academic and technical expertise.
Real-life projects can boost
employability chances as well.
Your course has to give you back a
sound ROI, if not then it’s not worth
it. So, find out about the placement
prospects and career coaching
advice that can lead to future jobs.
World-renowned faculty backed
by industry experts also offers the
opportunity to maximize contacts.
8. ANALYTICS EDUCATION | A PRIMER & LEARNING PATH
REPORT BY AIMREPORT BY AIM
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PAGE 14 PAGE 15
PRE-REQUISITES
IN TERMS OF SKILLS & TOOLS
At first, the data science field can
seem a bit overwhelming but it
doesn’t have to be if you chalk out
a clear learning journey. Before
you sign up, understand the kind
of skills required, based on your
years of experience, background &
domain experience to transition into
the field effectively. Find out the
skills you want to learn (deep learn-
ing, advanced machine learning
techniques, R programming). Based
on the skill-set, you can sign up the
course that best covers it and make
sure you put these skills to work
with lots of project work, because
eventually analytics has to meet
business goals and work on the ROI.
Learners hailing from an IT and pro-
gramming background find it easy
to pick up other programming lan-
guages than non-IT learners, and
therefore it would be easier to pick
up technological concepts if you
have a decent knowledge of coding,
statistics and business acumen. Be-
fore you deep dive into the program,
here are the three essential things
you must have, before signing up
for a course.
TECHNOLOGY BUSINESS
STATISTICS
9. ANALYTICS EDUCATION | A PRIMER & LEARNING PATH
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ANALYTICS EDUCATION | A PRIMER & LEARNING PATH
PAGE 16 PAGE 17
TECHNOLOGY
STATISTICS
Diving into a space which is highly technical, it is important
to have the basic understanding, if not advanced, of what the
subject is about. Some of the technicalities are an understand-
ing of what are coding languages and how do they work. It is
important to have an idea of what are open sources, functions,
object oriented programming etc. Data and databases are other
areas that a candidate should be well versed with such as with
RDBMS, Structures and SQL. Another must-have is a deep
knowledge of Excel. Advanced Excel is still used as a major
analytics tool in many companies.
A statistics refresher is a must for those candidates who are
aiming to get into the field of analytics and data science. Hav-
ing a basic understanding of statistics will add an edge and
ease out the overall learning process. It is good to have famil-
iarity with concepts such as distribution, statistical tests and
maximum likelihood estimators. In fact, questions related to
multivariable calculus and linear algebra are frequently asked
at interviews since they form a basis of lot of machine learning
techniques.
DISTRIBUTION,
CALCULUS,
LINEAR ALGEBRA,
STATISTICAL TEST
SQL,
RDBMS,
DATABASES,
EXCEL,
OPEN SOURCE,
FUNCTIONS
BUSINESS
Another important part of the pre-requisites is the business
acumen, which might come with the growing experience in the
field.
BUSINESS
ACUMEN
IN A NUTSHELL, THINGS THAT SHOULD BE A PART OF DATA ANALYST’S
TOOLKIT ARE:
• Understanding of databases, RDBMS, structures, Excel, func-
tions, statistics etc.
• Big data tools such as BigSQL, Hive, SQL, Pig etc.
• Visualisation tools such as Qlik, Tableau, Power BI etc.
• Once you have mastered the basics, you can also learn Hadoop
along with others such as SAS and MATLAB
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PAGE 18 PAGE 19
There are a slew of
online courses that can
get you started on the
fundamental concepts.
LEARNING
PATH
On the basis of
experience, chalk out
a learning path
BEGINNERS
ONCE YOU ARE
DONE WITH
STRENGTHENING
THE BASICS,
YOU CAN FOCUS
DEEPER INTO
ADVANCED MACHINE
TECHNIQUES
While picking up a course in data science and analytics, there may be professionals
both from IT and non IT (such as MBA) field. While the one with IT background may
have a detailed knowledge of coding and statistics, a non IT guy may be bereft of these
concepts. Before taking a plunge into this field, it is important to analyse your under-
standing in the subject based on your experience and follow a learning path best suited
to you. The learning path and job roles may be different based on your knowledge in the
subject. It can be categorized as follows:
1.
We would classify beginners as
learners who come with little or no
background in technology. Ones with
very basic knowledge of how the
tools work, fall under this category.
JOBS SUITED
FOR BEGINNERS
While this cohort may lack
in experience and domain
knowledge, they can take
up jobes as
• Business analysts
• BI analyst
• SAS Analyst
• SAS Programmer, etc.
For this cohort, an
introductory course in
a particular language,
understanding of open
source, databases etc.
may help.
Learn languages like
Python and R and visu-
alization tools lsuch as
tableau, d3.js
INTERMEDIATE
Those with a little more
understanding of advanced
tools in analytics and data
science, than beginners
but lack substantially to
the level of experts are
intermediate learners
They may have
good programming
skills, statistical
background,
understanding
of big data
technologies
and form a large
chunk of analytics
professionals
ADVANCED These might have already
finished the advanced
learning in areas like
machine learning
techniques, NLP and are
modelling specialist
They have enough
domain experience.
Some of the key skills
are communicating
effectively with different
stakeholders and
developing deep subject
matter knowledge
2.
3. JOBS SUITED FOR
ADVANCED LEARNERS
Data scientist is one of the
job roles under advanced
level, which demands pro-
fessionals to have a strong
business acumen and define
business use cases. They
may work with big teams to
produce data driven prod-
ucts. Other roles are
• Senior Data Analyst in
areas like data mining
and modelling.
Learners who have dabbled in
data analytics roles and can
pick up specific topics such as
natural language processing and
computer vision, are advanced
learners
JOBS SUITED FOR
INTERMEDIATES
Usually pivot to data engi-
neering and data manage-
ment roles wherein they
manage data and infrastruc-
ture. Data engineers are sup-
posed to maintain database
architecture and build data
pipelines for data scientists
to pull relevant information
from. Some of the other job
roles are
• Data analyst,
• Statistical analyst,
• Analytics manager etc.
11. ANALYTICS EDUCATION | A PRIMER & LEARNING PATH
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PAGE 20 PAGE 21
CAREER
TRACKS
TECHNOLOGY TRACK BUSINESS TRACK
Once you are well versed with the concepts, there are various professional
possibilities that a data science and analytics professional can explore. Based
on your expertise, you can dwell into any of these career tracks:
Good understanding of the technological as-
pect may help you craft a career in this track.
If you are someone with a good programming
knowledge or coding and loves playing with
complex data, then you can follow the tech-
nology track and dabble in areas like data
wrangling or data warehouse architect.
• DATA WAREHOUSE ARCHITECT
• DATA WRANGLING
• DATA MANAGEMENT ROLES
• SYSTEM ANALYST
Skills needed are programming tools,
Hadoop, Spark, Pig, Hive, and databases.
Have enough business expertise and a
business acumen? If you come from an MBA
background with little analytics experience
but with strong sense of conveying message,
then you are geared for a role in business
analytics. Apart from working on data that
has been put together by the data scientist,
you should have a fair idea of how business-
es work. Additionally, BAs also visualize the
insights to tell a compelling story to execu-
tives through dashboards.
• BUSINESS ANALYST
• MANAGEMENT ANALYST
• FINANCIAL ANALYST
• VISUALIZATION EXPERT
Skills needed for this role are SQL, ETL
skills, advanced data visualizations such as
tableau.
SKILLSJOBROLESDESCRIPTION
REPORTING TRACK
The world of data-driven reporting has
emerged as a lucrative option for story-tellers
who want to employ data visualization skills to
tell compelling stories. Internationally, storied
media houses such as NYT and a few back
home have set up dedicated departments to
deal with the data deluge. Increasingly, mar-
keters are also turning to big data to better
understand how to use historical data to im-
prove promotional activities and gain a better
understanding how marketing campaigns are
received on social media.
This track is geared for marketers and story-
tellers who have baseline skills such as website
scraping and know how to visualize dataset.
• DATA JOURNALISM
• DATA STORYTELLING
MODELLING TRACK
• DATA SCIENTIST
• ADVANCED ANALYTICS ROLES
This applies best to professionals who have
an advanced knowledge of the industry and
the tools used in the industry. With a deep
experience in programming, statistics and
the ability to deal with complex data are
some of the things that may lead you have a
career in modelling track. It may essentially
require years of experience.
Skills required may be an expertise in areas
such as machine learning, NLP, analytics,
amongst others.
12. ANALYTICS EDUCATION | A PRIMER & LEARNING PATH
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ANALYTICS EDUCATION | A PRIMER & LEARNING PATH
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COST BENEFIT
OF E-LEARNING
In today’s day and age, there are
many benefits of e-learning and the
chief technical benefit is the ease
and access of pursuing learning,
with the flexibility to learn a skill
anytime, anywhere. There is also
the added benefit of reduced
travel cost and cost of other
overheads. Plus, learners pursuing
Diploma/Certificate courses can
do it at their own convenience
without quitting the day jobs.
E-learning has become invaluable
since it helps in creating a more
competitive workforce by providing
sophisticated personalized learning
in a consistent manner
Ease of
Flexibility
Access to
excellent faculty
and in case of
international
university tie-
up, to top-notch
curriculum
In online
training, it is
easier to update
the course and
keep pace with
industry
demands
Consistent
delivery framework
ensures learners
don’t trail off the
learning path
leading to reduced
dropout rate
HERE ARE SOME OF THE KEY BENEFITS OF E-LEARNING Reduced
overheads
and travel
costs
Personalized
training in
small cohorts
leads and
individualized
study plans
There is a
better ROI on
e-learning rather
than traditional
classroom
learning
13. ANALYTICS EDUCATION | A PRIMER & LEARNING PATH
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ANALYTICS EDUCATION | A PRIMER & LEARNING PATH
PAGE 24 PAGE 25
NETWORKING
OPPORTUNITY
Regardless of what learning
model you choose, recruiters and
employers look for candidates
who come with an understanding
of business context and have
a real understanding of data
science. And increasingly,
the market for data science
has heated up with intense
competition in the field. Needless
to say, even the best degree from
a reputed college can fail to land
a job, unless a candidate learns
to communicate their findings and
business objectives effectively
Here’s why networking is
important in this scenario
-- learners are working
professionals and it can be hard
to build relationships in an online
environment
Most programs offer MeetUps that serve as a great networking
opportunity and even inform candidates how to get hired
The class profile also serves as a good area to build
professional relationships
Interactive sessions with industry experts and partners allow to
build professional relationships
14. ANALYTICS EDUCATION | A PRIMER & LEARNING PATH
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ANALYTICS EDUCATION | A PRIMER & LEARNING PATH
PAGE 26 PAGE 27
CONTINUED
LEARNING
Some of the ways to stay updated in this space and make continuous
learning a part of life are listed as below
• Even more important than learning a specific skill is to develop a framework to
constantly learn (formally or informally) a completely new area every couple of
years
• Inculcate the ability to pick up a new skill quickly and methodically
• Contribute to a community to develop reputational capital
• Work on an open source project you really enjoy
• Contribute to a community developed project
• Check out firsttimersonly.com to get started on a beginner friendly platform
15. #189, 1st Floor, 17th Main,
Sector 3, HSR Layout, Near
HSR Club, Bengaluru,
Karnataka 560102
info@analyticsindiamag.com
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CONTACT;