What does it_takes_to_be_a_good_data_scientist_2019_aim_simplilearnPraj H
Over the years, the term ‘data scientist’ has evolved greatly. From describing a person who handles data, to a professional who leverages machine learning — this definition has seen a great deal of change. Now, circa 2019, there are numerous blogs, Reddit pages and Quora threads dedicated to the discussion about “how to become a good data scientist”.
As 2017 begins, we are seeing big data and data science communities engage with new tools that specifically cater to data scientists and data engineers who aren’t necessarily experts in these techniques. Given rapid technological advances, the question for companies now is how to integrate new data science capabilities into their operations and strategies—and position themselves in a world where analytics can upend entire industries. Leading companies are using their data science capabilities not only to improve their core operations but also to launch entirely new business models.
Data Scientist has been regarded as the sexiest job of the twenty first century. As data in every industry keeps growing the need to organize, explore, analyze, predict and summarize is insatiable. Data Science is creating new paradigms in data driven business decisions. As the field is emerging out of its infancy a wide range of skill sets are becoming an integral part of being a Data Scientist. In this talk I will discuss the different driven roles and the expertise required to be successful in them. I will highlight some of the unique challenges and rewards of working in a young and dynamic field.
Unlocking the Value of Big Data (Innovation Summit 2014)Dun & Bradstreet
Big Data is central to the strategic thinking of today’s innovators and business executives as companies are scrambling to figure out the secret to transforming Big Data to Big Insight and that Insight into Action. As many companies struggle with the emerging technologies and nascent capabilities to discover and curate massive quantities of highly dynamic data, new problems are emerging in the form of how to ask meaningful questions that leverage the “V’s” of large amounts of data (e.g. volume, variety, velocity, veracity). In the Business-to-Business space, these challenges are creating both significant opportunity and ominous new types of risk. This presentation discusses how companies are reacting to these changes and provide valuable insight into new ways of thinking in a world with overwhelming quantities of data.
Data Science Salon: Adopting Machine Learning to Drive Revenue and Market ShareFormulatedby
The race is on to gain strategic and proprietary insights into changes in customer preferences before your competitors. This workshop will cover how and why machine learning is the tool for marketers to drive revenue and increase market share. The adoption of machine learning does not happen overnight. We will discuss the Five Es of machine learning maturity – Educating, Exploring, Engaging, Executing and Expanding. Hear real-world examples of using machine learning to accelerate revenue, identify new customers and introduce new products based on machine learning capabilities.
Next DSS MIA Event - https://datascience.salon/miami/
This presentation was delivered to students soon to complete undergraduate and masters degrees in technology and IT disciplines at Oxford Brookes University. The presentation highlights five "hot" areas of demand in the current IT jobs market, and offers resources and free or low cost certifications to allow candidates to "upskill".
What does it_takes_to_be_a_good_data_scientist_2019_aim_simplilearnPraj H
Over the years, the term ‘data scientist’ has evolved greatly. From describing a person who handles data, to a professional who leverages machine learning — this definition has seen a great deal of change. Now, circa 2019, there are numerous blogs, Reddit pages and Quora threads dedicated to the discussion about “how to become a good data scientist”.
As 2017 begins, we are seeing big data and data science communities engage with new tools that specifically cater to data scientists and data engineers who aren’t necessarily experts in these techniques. Given rapid technological advances, the question for companies now is how to integrate new data science capabilities into their operations and strategies—and position themselves in a world where analytics can upend entire industries. Leading companies are using their data science capabilities not only to improve their core operations but also to launch entirely new business models.
Data Scientist has been regarded as the sexiest job of the twenty first century. As data in every industry keeps growing the need to organize, explore, analyze, predict and summarize is insatiable. Data Science is creating new paradigms in data driven business decisions. As the field is emerging out of its infancy a wide range of skill sets are becoming an integral part of being a Data Scientist. In this talk I will discuss the different driven roles and the expertise required to be successful in them. I will highlight some of the unique challenges and rewards of working in a young and dynamic field.
Unlocking the Value of Big Data (Innovation Summit 2014)Dun & Bradstreet
Big Data is central to the strategic thinking of today’s innovators and business executives as companies are scrambling to figure out the secret to transforming Big Data to Big Insight and that Insight into Action. As many companies struggle with the emerging technologies and nascent capabilities to discover and curate massive quantities of highly dynamic data, new problems are emerging in the form of how to ask meaningful questions that leverage the “V’s” of large amounts of data (e.g. volume, variety, velocity, veracity). In the Business-to-Business space, these challenges are creating both significant opportunity and ominous new types of risk. This presentation discusses how companies are reacting to these changes and provide valuable insight into new ways of thinking in a world with overwhelming quantities of data.
Data Science Salon: Adopting Machine Learning to Drive Revenue and Market ShareFormulatedby
The race is on to gain strategic and proprietary insights into changes in customer preferences before your competitors. This workshop will cover how and why machine learning is the tool for marketers to drive revenue and increase market share. The adoption of machine learning does not happen overnight. We will discuss the Five Es of machine learning maturity – Educating, Exploring, Engaging, Executing and Expanding. Hear real-world examples of using machine learning to accelerate revenue, identify new customers and introduce new products based on machine learning capabilities.
Next DSS MIA Event - https://datascience.salon/miami/
This presentation was delivered to students soon to complete undergraduate and masters degrees in technology and IT disciplines at Oxford Brookes University. The presentation highlights five "hot" areas of demand in the current IT jobs market, and offers resources and free or low cost certifications to allow candidates to "upskill".
Data Science Salon: Digital Transformation: The Data Science CatalystFormulatedby
Carnival is the world's largest travel leisure company, with a combined fleet of over 100 vessels across 10 cruise line brands and growing. We analyze social channels (Facebook, Twitter, Instagram), web analytics and booking data to predict customer behavior and develop marketing strategies. This session will discuss the challenges of mining all of this data and some of the Machine Learning techniques we use to segment our customers (e.g. Clustering) and predicting the value of a customer (e.g. Regression).
Next DSS MIA Event - https://datascience.salon/miami/
Presented by MANCHON (KEVIN) U Senior Director, Head of Marketing Analytics & Data Science at Carnival Cruise Line and MARC FRIDSON, former Principal Data Scientist at Carnival Cruise Line.
Advances in technology for capturing information have led to the promise of “Big Data” to dramatically alter the business environment. However, technology is only an enabler of aggregation and analysis. Many firms struggle to convert information to business knowledge and insights. Learn how organizations are using data to improve skill development at all levels and developing models for organizational structures to link these skills to executive decision-making.
Speakers: Dan McGurrin, Ph.D., NC State and Pamela Webber, Cisco
Mission Critical Use Cases Show How Analytics Architectures Usher in an Artif...Dana Gardner
A discussion on how artificial intelligence and advanced analytics solutions coalesce into top competitive differentiators that prove indispensable for digital business transformation.
White paper: The Past, Present and Future of Information ManagementLexisNexis Benelux
From a physical to digital information world. The information industry is being impacted by changes in technology, the growing volume of information, big data and social networks.
LexisNexis has undertaken this report to help organisations understand the nature and impact of these changes. Here we analyse the past and present, and look ahead with the aim of equipping today’s information managers with the right tools
Techconnex Think beyond BI: Machine Learning Albert Hui
Organizations today need to think beyond business intelligence, machine learning techniques will help organizations to prepare for the Internet of Things era.
Data Science And Analytics Information Part 3DataMites
A career in data science is lucrative and rewarding. But the path to starting or advancing a data science or analytics career is not always linear.
For more info: https://datamites.com/data-science-course-training-hyderabad/
From Information Overload to Organized InsightsLexisNexis
As organizations navigate the ups
and downs of a complex global economy, access
to reliable, relevant information can help them
compete more effectively. To paraphrase Maya
Angelou, “When you know better, you do better.”
Information professionals play an important role
in identifying and disseminating the business
insights companies need to manage risk and
make smarter, faster decisions.
Predictive Data Analytics to Help Your CustomersExperian_US
The @ExperianDataLab hosts a #DataTalk on Thursdays at 5 p.m. ET on Twitter. Join us.
This week, we talked about data preparation, model evaluation, testing effectiveness of predictive analytics, challenges, and trends in predictive analytics.
We learned from Michael Beygelman, Co-founder and CEO of Joberate and Berry Diepeveen, Partner and Enterprise Intelligence Leader at EY in South Africa, and Chuck Robida, Chief Scientist for Experian Decision Analytics.
Learn about past and upcoming chats at:
http://experian.com/datatalk
Data Science Salon: Building smart AI: How Deep Learning Can Get You Into Dee...Formulatedby
Presented by Michael Housman Chief Data Scientist at RapportBoost.AI
Next DSS NYC Event 👉 https://datascience.salon/newyork/
Next DSS LA Event 👉 https://datascience.salon/la/
Recent advances in deep learning have fueled tremendous excitement about the potential for artificial intelligence to solve countless problems. But there are some perils and pitfalls endemic to these new techniques, particularly because they ignore two essential components of the scientific method: (1) understanding the how; and (2) explaining the why. Dr. Michael Housman offers up a two specific examples from his own career as a data scientist to show how a naive application of deep learning algorithms can lead data scientists to the wrong conclusion and offers up some guidance for avoiding these mistakes.
Artificial Intelligence Expert Session Webinar ibi
Tom Redman of Data Quality Solutions and Information Builders' CMO Michael Corcoran share the latest on artificial intelligence trends in this webinar.
Since 2005, when the term “Big Data” was launched, Big Data has become an increasingly topical theme. In terms of technological development and business adoption, the domain of Big Data has made powerful advances; and that is putting it mildly.
In this initial report on Big Data, the first of four, we give answers to questions concerning what exactly Big Data is, where it differs from existing data classification, how the transformative potential of Big Data can be estimated, and what the current situation (2012) is with regard to adoption and planning.
VINT attempts to create clarity in these developments by presenting experiences and visions in perspective: objectively and laced with examples. But not all answers, not by a long way, are readily available. Indeed, more questions will arise – about the roadmap, for example, that you wish to use for Big Data. Or about governance. Or about the way you may have to revamp your organization. About the privacy issues that Big Data raises, such as those involving social analytics. And about the structures that new algorithms and systems will probably bring us.
http://www.ict-books.com/books/inspiration-trends
Emerging opportunities in the age of dataEjaz Siddiqui
We live in a data-driven world. There are more than 4 billion people around the world using the internet.
This show an unprecedented spread and growth of digital devices. These digital devices (Mobiles, Computers, Watches, IoT etc) are the factories for creating data. It means we live in the Age of Data, and it’s expanding at astonishing rates. We may need to unplug and take a break from time to time, but data never sleeps.
This generation of huge data presents many new challenges as well as opportunities. There would be huge opportunity for the people who could collect, process, manage, drive insights and make useful decisions from this data. Certain fields are becoming very important and necessary to manage and process this data.
An efficient data science team is crucial for deriving value from the humongous data a business collect. Learn how the data science team can help in this regard.
Data Science is in high demand, the melting pot
of complex skills requires a qualified data scientist have made them the unicorns in today's data-driven landscape.
Data Science Salon: Digital Transformation: The Data Science CatalystFormulatedby
Carnival is the world's largest travel leisure company, with a combined fleet of over 100 vessels across 10 cruise line brands and growing. We analyze social channels (Facebook, Twitter, Instagram), web analytics and booking data to predict customer behavior and develop marketing strategies. This session will discuss the challenges of mining all of this data and some of the Machine Learning techniques we use to segment our customers (e.g. Clustering) and predicting the value of a customer (e.g. Regression).
Next DSS MIA Event - https://datascience.salon/miami/
Presented by MANCHON (KEVIN) U Senior Director, Head of Marketing Analytics & Data Science at Carnival Cruise Line and MARC FRIDSON, former Principal Data Scientist at Carnival Cruise Line.
Advances in technology for capturing information have led to the promise of “Big Data” to dramatically alter the business environment. However, technology is only an enabler of aggregation and analysis. Many firms struggle to convert information to business knowledge and insights. Learn how organizations are using data to improve skill development at all levels and developing models for organizational structures to link these skills to executive decision-making.
Speakers: Dan McGurrin, Ph.D., NC State and Pamela Webber, Cisco
Mission Critical Use Cases Show How Analytics Architectures Usher in an Artif...Dana Gardner
A discussion on how artificial intelligence and advanced analytics solutions coalesce into top competitive differentiators that prove indispensable for digital business transformation.
White paper: The Past, Present and Future of Information ManagementLexisNexis Benelux
From a physical to digital information world. The information industry is being impacted by changes in technology, the growing volume of information, big data and social networks.
LexisNexis has undertaken this report to help organisations understand the nature and impact of these changes. Here we analyse the past and present, and look ahead with the aim of equipping today’s information managers with the right tools
Techconnex Think beyond BI: Machine Learning Albert Hui
Organizations today need to think beyond business intelligence, machine learning techniques will help organizations to prepare for the Internet of Things era.
Data Science And Analytics Information Part 3DataMites
A career in data science is lucrative and rewarding. But the path to starting or advancing a data science or analytics career is not always linear.
For more info: https://datamites.com/data-science-course-training-hyderabad/
From Information Overload to Organized InsightsLexisNexis
As organizations navigate the ups
and downs of a complex global economy, access
to reliable, relevant information can help them
compete more effectively. To paraphrase Maya
Angelou, “When you know better, you do better.”
Information professionals play an important role
in identifying and disseminating the business
insights companies need to manage risk and
make smarter, faster decisions.
Predictive Data Analytics to Help Your CustomersExperian_US
The @ExperianDataLab hosts a #DataTalk on Thursdays at 5 p.m. ET on Twitter. Join us.
This week, we talked about data preparation, model evaluation, testing effectiveness of predictive analytics, challenges, and trends in predictive analytics.
We learned from Michael Beygelman, Co-founder and CEO of Joberate and Berry Diepeveen, Partner and Enterprise Intelligence Leader at EY in South Africa, and Chuck Robida, Chief Scientist for Experian Decision Analytics.
Learn about past and upcoming chats at:
http://experian.com/datatalk
Data Science Salon: Building smart AI: How Deep Learning Can Get You Into Dee...Formulatedby
Presented by Michael Housman Chief Data Scientist at RapportBoost.AI
Next DSS NYC Event 👉 https://datascience.salon/newyork/
Next DSS LA Event 👉 https://datascience.salon/la/
Recent advances in deep learning have fueled tremendous excitement about the potential for artificial intelligence to solve countless problems. But there are some perils and pitfalls endemic to these new techniques, particularly because they ignore two essential components of the scientific method: (1) understanding the how; and (2) explaining the why. Dr. Michael Housman offers up a two specific examples from his own career as a data scientist to show how a naive application of deep learning algorithms can lead data scientists to the wrong conclusion and offers up some guidance for avoiding these mistakes.
Artificial Intelligence Expert Session Webinar ibi
Tom Redman of Data Quality Solutions and Information Builders' CMO Michael Corcoran share the latest on artificial intelligence trends in this webinar.
Since 2005, when the term “Big Data” was launched, Big Data has become an increasingly topical theme. In terms of technological development and business adoption, the domain of Big Data has made powerful advances; and that is putting it mildly.
In this initial report on Big Data, the first of four, we give answers to questions concerning what exactly Big Data is, where it differs from existing data classification, how the transformative potential of Big Data can be estimated, and what the current situation (2012) is with regard to adoption and planning.
VINT attempts to create clarity in these developments by presenting experiences and visions in perspective: objectively and laced with examples. But not all answers, not by a long way, are readily available. Indeed, more questions will arise – about the roadmap, for example, that you wish to use for Big Data. Or about governance. Or about the way you may have to revamp your organization. About the privacy issues that Big Data raises, such as those involving social analytics. And about the structures that new algorithms and systems will probably bring us.
http://www.ict-books.com/books/inspiration-trends
Emerging opportunities in the age of dataEjaz Siddiqui
We live in a data-driven world. There are more than 4 billion people around the world using the internet.
This show an unprecedented spread and growth of digital devices. These digital devices (Mobiles, Computers, Watches, IoT etc) are the factories for creating data. It means we live in the Age of Data, and it’s expanding at astonishing rates. We may need to unplug and take a break from time to time, but data never sleeps.
This generation of huge data presents many new challenges as well as opportunities. There would be huge opportunity for the people who could collect, process, manage, drive insights and make useful decisions from this data. Certain fields are becoming very important and necessary to manage and process this data.
An efficient data science team is crucial for deriving value from the humongous data a business collect. Learn how the data science team can help in this regard.
Data Science is in high demand, the melting pot
of complex skills requires a qualified data scientist have made them the unicorns in today's data-driven landscape.
In a few years, the position of data scientist is expected to be the highest paying one. The
potential for expansion is astounding! These are the appropriate talents for the employment
roles in this industry.
Web Desk for India Today Since the 2020 pandemic, digitization has taken center stage, and
businesses all around the world have invested in cutting-edge technologies to improve their
productivity. Data scienc
Big Data; Big Potential: How to find the talent who can harness its powerLucas Group
Big Data is in its infancy but it holds great promise. The key to success is finding and keeping the talent with the skills necessary to obtain and analyze the data, ask the right questions, and present findings in a compelling fashion that makes sense for your organization.
Why is Data Science a Popular Career Choice.pdfUSDSI
Do you want to become the backbone of big corporates and giant business groups around the world? Beginning your career trajectory by grabbing the perfect spot in the data science certification courses provided around the world. The US Bureau of Labor Statistics projects 35.8% employment growth for data scientists till 2031, over a decade period beginning 2021. The growing use of machine learning and artificial intelligence technologies is another factor driving the demand for professionals skilled in data science.
Brimming with humungous career opportunities, the data science industry is set in motion to yield multitudinous growth opportunities across diversified industries worldwide. By automating procedures, increasing effectiveness, and allowing predictive capabilities, Artificial intelligence and machine learning algorithms hold the ability to change the entire landscape.
Data Science has become a fascinating career choice that calls for working closely with cutting-edge technology and addressing challenges. If you are someone who wishes to work with humungous data, has a passion for numbers, and has a clear vision of setting their career on a thriving path; data science is the right pick for you!
A diversified array of organizations is actively looking for data-hungry professionals who are coarsely skilled at data science to analyze data and churn out business decisions for the greater good of the company. Today is the ripe time to get started with a data science career, that promises an elevated trajectory and nothing else.
With the rise of technological innovations and industrial evolution, massive datasets become unmanageable. The future of such a massive explosion of data calls for an urgent appointment of qualified data scientists; enabling bigger business moves. This is where getting certified in the field makes sense.
Without wasting any further time, it is an advisable move to get certified in key data science skills that are sure to rage in the industry worldwide. Begin with the most trusted names in the data science certifications providers industry today!
https://www.usdsi.org/data-science-insights/why-is-data-science-a-popular-career-choice
Learn All about Data Science from the Best Private University in KarnatakaREVA University
Completing Masters in Data Science degree can reshape your career path, though it demands dedication and time to gain the necessary skills and land the right job. To assist you, we've crafted a detailed plan for building a career in Data Science.
A data analyst collects, cleans, and interprets data sets to provide an answer or solve an issue. They work in a variety of industries, including business, banking, criminal justice, science, medical, and government. Data analyst jobs in US can take various shapes depending on the question you're attempting to answer. Being a data analyst might also lead to other employment opportunities. Many data analysts eventually become data scientists.
Best Data Science Hybrid Course in Pune
Data Science, in its simpler terms, is about generating critical business value from the data through various creative ways. It can also be defined as a mix of data research, algorithms, and technology to solve complex analytical issues. Data is being generated by Companies at an exponential pace. The usable Data form can be different for different sections of people working in an organization.
Data Science Classes help us to explore the data to a granular form and find the needed insights. Data Science is about being analytical or inquisitive wherein asking new questions, doing further explorations, and continuing learning is a part of the job for Data Scientists.
According to Harward Business Review, Data Scientist is the Sexiest Job of the 21st Century.
According to Forbes, IBM Predicts Demand For Data Scientists Will Soar 28% By 2020
GET FRONTLINE DATA SCIENCE TRAINING IN PUNE AT 3RI TECHNOLOGIES
Data Science is a trending niche, for it promises notable mileage for the business economy! It is rather ironic that data which was considered a burden to manage and store only about a few decades ago is now viewed as a resource; courtesy of course to data scientists. They have brought about a paradigmatic change through their skills which allow them to derive the value from raw data. It is important to mention that ‘Raw Data’ is clueless to most laymen, including the high echelons in business management; but when processed through Data Science Tools, it renders value that is precious and immense for the decision-makers and salesmen. They are all riding on the Professionalism of the Data Scientists and this generates the demand of the latter! 3RI Technologies is the leading institution offering Data Science Classes in Pune and fresh graduates as well as Working Professionals can enroll for it.
WHAT IS DATA SCIENCE?
Today, Data Science is a much-talked subject and its significance is being deliberated among the business managers who are eager to hire a brilliant professional onboard their firm. Data Science is a milieu space that is shared by the distinct yet related domains of statistics & applicative mathematics, computer programming frameworks and tools, data metrics, and analytics. Machine Learning & associated automation underpins all the above-listed fields, almost as a generic derivative; because it is through this channel that the good results are accrued in favor of the business clients. What are these good results? Let’s talk about them!
Trending smart services that are propelling businesses around the world such as SEO, SMO, SMM, SEM and CRM, all revolve around the ability to generate leads of authentic value for the commerce banners. The web developers have been doing well through their professional conduct for their clients but they in turn actively seek the ‘Meaningful Data’ about the existing and potential customers, the market trends, and the competition figures of the biz rivals. Here, Data Sc
Big Data Courses In Mumbai at Asterix Solution is designed to scale up from single servers to thousands of machines, each offering local computation and storage. With the rate at which memory cost decreased the processing speed of data never increased and hence loading the large set of data is still a big headache and here comes Hadoop as the solution for it.
http://www.asterixsolution.com/big-data-hadoop-training-in-mumbai.html
The 10 best data science training institutes in india 2020Merry D'souza
Through this edition, ‘The 10 Best Data Science Training Institutes in India 2020’, The Knowledge Review tries to portray some of Best Data Science Training Institutes in India out there in order to create a glimpse of the inspiration for others to follow and August on their trail or create a new one.
A profession in data analysis could provide you with significant influence over an organization's expansion and success. A data analysis role involves much more than just crunching numbers. Analysts examine data to find ways to use it to address issues, get important understanding of a company's clientele, and increase revenue.
"Unlock your data science potential with Digicrome's comprehensive student Welcome to the Digicrome Student Handbook! This comprehensive guide is designed to provide you with all the information you need to excel in your journey to becoming a data scientist. Let's dive in!
At Digicrome, we offer a top-notch online Data Science course that covers a wide range of essential concepts and tools. From Python programming to advanced Python concepts, from data visualization to statistics, from machine learning to SQL, our course encompasses all the key areas you need to master. Our logical and structured approach makes it easy to comprehend complex topics, ensuring a solid foundation in data science.
Our course features 250 hours of intensive live training, where you'll receive hands-on learning experiences. We believe in practical training, even for students with little or no technical background. You'll work on 25+ projects and 4+ capstone projects, allowing you to apply your knowledge to real-world scenarios. This practical exposure will make you job-ready and equip you with the necessary skills to tackle the challenges of the industry.
We understand the importance of placements, which is why we provide 100% job guarantee to our students. Upon completing our course, you'll have the opportunity to be placed in renowned multinational companies such as Nykaa, Myntra, Cred, Meesho, Razorpay, Wipro, Infosys, TCS, Microsoft, Hungama, PharmEasy, and many more. Our industry connections and partnerships ensure that you have ample opportunities for career growth and development.
To further enhance your learning experience, we offer a 3-month paid internship, allowing you to gain practical experience in a professional setting. You'll also have access to mock interviews conducted by hiring managers, helping you refine your interview skills and boost your confidence.
Our course is backed by seven types of certifications, validating your expertise in various data science domains. These certifications will add significant value to your resume and demonstrate your commitment to professional growth.
To ensure individual attention and guidance, we provide 1:1 sessions with industry mentors. These experienced professionals will guide you through your learning journey, offering personalized support and insights. You'll have the opportunity to learn from their experiences and gain valuable industry insights.
We understand that financial constraints can sometimes hinder educational pursuits. That's why we offer a no-cost EMI option, allowing you to manage your payments conveniently. We also provide discounts of up to 60% off academic fees, making our course more accessible and affordable.
Don't miss the chance to embark on an exciting career as a data scientist. Enroll in the Digicrome Python Data Science course, prepare yourself for the future, and become a professional data scientist. Unlock your potential with Digicrome today!
"Learn the concept of Data Science by uniting Statistics, mathematics, computer science and domain knowledge and information science to extract structured and unstructured data’s.
12 Months Duration | Capstone Projects | 07+ Certifications"
Data Science for Beginners: A Step-by-Step IntroductionUncodemy
Data science is a dynamic and rapidly evolving field that has gained immense importance in recent years. It involves the extraction of meaningful insights and knowledge from large and complex datasets. If you are new to data science, this step-by-step introduction will provide you with a solid foundation and explain why pursuing a data science certification course.
From Data to Discovery: The Journey of a Data ScientistUncodemy
In this PDF, we will explore the journey of a data scientist and the importance of a data science course in Allahabad, Mohali, Gurgaon, an all cities in shaping their career.
Learn How to Configure Cisco Data Center Core Networking(Handouts).pdfTuan Yang
Acquire the required skills and knowledge to implement, manage, and maintain the networking protocols used within Cisco data centers .
Click here to watch the recorded session: https://bit.ly/3GDpNdx
Best Practices to Cybersecurity Vulnerability Management,.pdfTuan Yang
This webinar will provide your teams with the skills to proactively defend your organization's security stance. This session also helps professionals demonstrate their knowledge of common vulnerability assessment tools and keeps them abreast with emerging technologies.
Watch here- https://bit.ly/3g2Z5PZ
Defense Against Multi-Network Breaches.pdfTuan Yang
This live webinar will empower your teams to handle and respond to external security incidents and insider threats effectively. Acquire the required skills to defend your organization against multi-stage network breaches by deploying the appropriate countermeasures.
Watch here - https://bit.ly/3fiIOGj
Cybersecurity Incident Handling & Response in Under 40 Minutes.pdfTuan Yang
This live webinar will empower your teams to handle and respond to external security incidents and insider threats effectively. Acquire the required skills to effectively develop, implement, and manage an incident response capability to minimize the damage that a cyberattack can inflict.
Watch here - https://bit.ly/3zLbcrc
An Introduction to CompTIA Security+ - SY0-601.pdfTuan Yang
This live webinar will provide your teams with critical insights into the different methods of assessing your organization's security posture and recommending and implementing appropriate security solutions.
Watch this session to give your teams a rundown on the most core technical skills in risk assessment and management, incident response, forensics, enterprise networks, hybrid/cloud operations, and security controls.
Watch here -https://bit.ly/3N4DeT1
CCNP Enterprise Networks Move One Step Closer to Advanced Networking(Handout)...Tuan Yang
Master essential network concepts to pass the CCNP ENCOR (350-401) exam for the CCNP Enterprise certification. Reserve your spot in our upcoming Cisco Enterprise Networks webinar that will give you the knowledge and skills needed to manage enterprise wired and wireless networks. Learn to implement security principles, automation, and programmability within an enterprise network.
Interested in knowing More? watch the complete video click on this Link
https://bit.ly/3Gg0s76
Empower your IT teams with the latest cutting-edge technologies used for software-defined networking!
Watch our Free 40-minute CompTIA Network+ N10-008 webinar where your teams will get information about the on-demand networking skills and capabilities to develop enterprise-level network solutions, diagnose performance issues, and mitigate risks.
Watch Now: https://bit.ly/3NycuLh
What is new with CompTIA PenTest+- PT0 002 - NetCom Learning.pdfTuan Yang
Organizations can protect their sensitive data and secure their IT infrastructure by upskilling their existing IT teams in Pentesting.
Watch our FREE 40-minute live PenTest+ PT0 002 webinar to upskill your teams to the latest and updated penetration testing practices, vulnerability assessment, and management skills required to determine the network’s resiliency against attacks.
Watch now: https://bit.ly/3jTzhV7
Agile Fundamentals One Step Guide for Agile Projects(Handout).pdfTuan Yang
Take the leap and move to Agile for seamless project management.
Join this FREE session to explore the world of Agile and discover some common mistakes and misconceptions about the Agile method. An introduction to SCRUM is also covered in the session, delivered by our certified trainer.
Interested in knowing more click on the given Link to watch the recorded session for Free : https://bit.ly/3sMHlwa
Organizations are increasingly leveraging AWS cloud and DevOps practices to deliver faster and better customer service.
Watch our Master Class (2 Hours) on AWS DevOps that is curated to help your team master the most common DevOps patterns, practices, and tools required to develop, deploy, and maintain applications and services at high velocity on AWS.!
Watch Now: https://bit.ly/3DSs0y7
Certified Ethical Hacker v11 First Look.pdfTuan Yang
Do you want to create a robust cybersecurity strategy for your team and secure your networks and other assets from malicious threats? The EC-Council CEH v11 masterclass will give your IT teams a rundown on the latest commercial-grade hacking tools, techniques, and methods to spot vulnerabilities in your IT infrastructure and thereby safeguard your organization from cyber-threats.
Watch Now: https://bit.ly/3IMOGAP
An overview of agile methods and agile project management Tuan Yang
With the widespread adoption of Agile methods, organizations can now focus on frequent delivery of value and ensure the final product fulfills their customer needs. Agile has enabled businesses to be more responsive to the market and the customers by promptly addressing their needs and demands to increase the value delivery to the stakeholder and reduce the risk of developing products that no longer meet the market/stakeholder needs.
Interested in knowing more?? watch our recorded session here: https://www.netcomlearning.com/webinars/9916/agile-project-management.html?WebinarID=951&advid=1315
The essentials of ccna master the latest principles(handouts)Tuan Yang
The Cisco portfolio aims to serve networking professionals by developing their knowledge in the field of IT networking. The updated Cisco Certified Network Associate (CCNA) certification includes a wide range of fundamentals based on software development skills, the latest networking technologies, and job roles.
Interested in knowing more click on the given Link to watch our recorded session.
https://www.netcomlearning.com/webinars/9918/essentials-latest-principles.html?WebinarID=953
Unlock the value of itil 4 with 5 key takeaways that can be used today(handout)Tuan Yang
In the era when technology has taken the spotlight for most organizations undergoing digital transformation, IT service management has a more in-depth meaning and holistic view altogether. It now involves solution innovation, budget transparency, strategic planning, customer relationship management, and much more. To sustain a business and stay competitive in this rapidly expanding ecosystem for technology-enabled solutions, investing in your ITIL®4 employee upskilling program is critical.
Interested in knowing more? Click on the given link to watch our reorded video of this session
https://www.netcomlearning.com/webinars/9914/itil-used-today.html?WebinarID=950&advid=1315
CHFI First Look by NetCom Learning - A Free Course on Digital ForensicsTuan Yang
With the increase in cybercrimes, it is imperative for organizations to build an efficient in-house digital forensics team to safeguard theirs and their stakeholders’ security posture. This FREE CHFI v10 2.5-hour live Masterclass trains your existing teams with the latest investigation practices using groundbreaking digital forensics technologies. It upskills them to use threat intelligence to anticipate and investigate complex security threats, record and report cybercrimes to prevent future attacks.
The CHFI v10 Masterclass is conducted by an EC-Council Certified Master trainer who takes you through the latest technology, including IoT Forensics, Dark Web Forensics, Cloud Forensics (including Azure and AWS), Network Forensics, Database Forensics, Mobile Forensics, Malware Forensics (including Emotet and Eternal Blue), OS Forensics, RAM forensics, and Tor Forensics.
Watch now: https://www.netcomlearning.com/webinars/9895/learning-digital-forensics.html?WebinarID=944&advid=1315
Master Class: Understand the Fundamentals of Architecting on AWSTuan Yang
The Architecting on AWS Master Class is a complimentary Instructor-led Virtual session that covers the fundamentals of building IT infrastructure on the AWS platform. In this session, learners will explore the best practices and design patterns for architecting optimal IT solutions on the AWS Cloud. Moreover, they will also get an opportunity to build and explore a variety of infrastructures through guided discussions and hands-on activities, and much more!.
Watch now : https://bit.ly/3J9HQpB
How to Deploy Microsoft 365 Apps and Workloads.Tuan Yang
Want to learn how to deploy Microsoft 365 Apps and Workloads? We invite you to register for a FREE online webinar where you will gain in-depth insights regarding the management of Microsoft 365 Identity and Services. The webinar is designed to help empower your teams with the skills to drive success using Microsoft 365 Apps.
Become a part of this FREE webinar to receive thorough guidance towards managing Microsoft 365 identity and services.
Watch now : https://www.netcomlearning.com/webinars/9879/microsoft-365-apps.html?WebinarID=907&advid=1315
Learn to utilize cisco unified communications for better collaboration( hando...Tuan Yang
Disruption in communication is a common problem for businesses and organizations that affect overall productivity, collaboration, and revenue. Establish your communications infrastructure and enable your teams to connect easily with the Cisco Unified Communications Manager. It features IP telephony, integrated messaging, high-definition video, instant message, and presence.
Interested in knowing more?
Watch the recorded video by following the given link: https://www.netcomlearning.com/webinars/9917/cisco-better-collaboration.html?WebinarID=952
NetCom learning webinar how to manage your projects with disciplined agile (d...Tuan Yang
Looking for ways to enhance your team’s agility? Improve your team’s way of working with Disciplined Agile (DA). Explore the latest strategies to improve your processes and boost your team with the Disciplined Agile tool kit.
Join this FREE webinar to learn foundational agile and lean methods supported by Disciplined Agile and practice using the tool kit to solve problems. This training will prepare your teams for the Disciplined Agile Scrum Master (DASM) exam and start implementing Disciplined Agile immediately
NetCom learning webinar cnd first look by netcom learning - network defender freTuan Yang
Any individual planning to protect, detect, and respond to network attacks undoubtedly opts for Certified Network Defender (CND). Certified Network Defender is the world’s most advanced network defense certification that covers the most current network security domains.
Claim your spot now for CND Master Class (2.5 Hour) – A special and complementary offer to NetCom Learning and EC-Council clients.
The CND Master Class is a complimentary Instructor-led virtual session designed to help you understand the most popular modules in CND, such as Network security controls, IDS/IPS sensors, Wireless network threats, and much more, along with live lab demonstrations.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
2. INTRODUCTION
WHAT IS DATA SCIENCE AND WHY IS IT IMPOSTANT FOR ORGANIZATIONS?
HOW MUCH OF AN IMPACT DOES A DATA SCIENTIST HAVE ON THE SUCCESS OF
MAJOR PLAYERS LIKE FACEBOOK, GOOGLE, AND LINKEDIN?
COMBATTING DATA SCIENCE SKILLS GAP
NETCOM LEARNING EXPERTISE
SUMMARY AND FINDINGS
Contents
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3. Statistics, Machine Learning, Data Science, or Analytics – whatever you call it, this discipline is on rise for the past few years.
Researches show that 90% of the entire world’s data was created in the last couple of years. And while billions are being spent on
making sense out of these available data, less than 0.5% are getting analyzed and made use of.
This increase of data collection abilities and exponential computational power have drawn attention from organizations. It is
becoming clear by the day that the value lies in processing and analysis of data, and even though executives have heard of
about data science, most are still unaware of the value a data scientist holds in a corporation.
Introduction
4. It is the age of analytics and we are competing in a data-driven world. Data and analytics capabilities have made a leap forward
in recent years. The volume of available data has grown exponentially, more sophisticated algorithms have been developed, and
computational power and storage have steadily improved.
But to correctly use and apply the power of Data Science, an organization will need the right data, the business will, and varied skill
sets like developer, statistician, business analyst, data engineer/architect, and project manager. Further, no one's happy unless this
can be done at scale and speed, and applied to many areas of the business.
Most data scientists in the industry have advanced degrees and training in statistics, math, and computer science. Their
experience is a vast horizon that also extends to data visualization, data mining, and information management. It is fairly common
for them to have previous experience in infrastructure design, cloud computing, and data warehousing.
What is Data Science and why is it
important for organizations?
5. Here are instances when a company can benefit from having a data scientist:
• When there is a need to crunch large volumes of numbers
• When possessing lots of operational and customer data
• When they can benefit from social media streams, credit data, consumer research or
third-party data sets
As suggested by Gartner, The data scientist role is critical for organizations looking to extract
insight from information assets for “big data” initiatives and requires a broad combination of
skills that may be fulfilled better as a team, for example: Collaboration and team work is
required for working with business stakeholders to understand business issues. Analytical and
decision modeling skills are required for discovering relationships within data and detecting
patterns. Data management skills are required to build the relevant dataset used for the
analysis.
Data science is a discipline that incorporates
varying degrees of Data Engineering, Scientific
Method, Math, Statistics, and Domain Expertise - It
brings the prospect of solving business problems
with math. Along with that comes more advanced
application development that blends rules-based
decision patterns and machine learning.
6. Eight ways a Data Scientist can add
value to any business:
7. How much of an impact does a Data Scientist
have on the success of major players like
Facebook, Google, and LinkedIn?
What sets apart a Data Scientist from a seemingly similar Data backed job is that while a data statistician is concerned with past
movements and interpretation of data, a Data Scientist is more mathematically focused on providing an insight into future patterns
identified from historical and real time data. The role of a Data Scientist is part analyst and part artist, set to revolutionize the way
the data processed and used.
The huge success of professional networking site LinkedIn is a prime example of the immense benefit that data scientists are
bringing to business intelligence. As an organization that relies primarily on the data transferred by its 380,000,000 users making
connections with each other, LinkedIn is utilizing those professionals with the training and curiosity to make discoveries in the world
of big data.
8. LinkedIn, alongside other large knowledge industries such as Facebook and Google, is utilizing
the role of data scientists to bring structure to large quantities of unstructured and
unorganized data and to determine significance in its value, and systematic relationships
between the variables.
A recent survey of C-suite executives by NewVantage conducted in 2016 has revealed that
99% of the respondents thought analysis of big data was important to their strategy next year.
In the decade where enterprise data is expected to exceed 240 exabytes per day by 2020,
as per a report from CISCO published in June 2016, the need for data scientists with the skills
to extract valuable insights from this data is more important than ever.
However, the demand for data scientists is very much exceeding the supply and that
companies in the United States alone will need to hire between 140,000 – 190,000 data
scientists if they are to keep up with the new data demand.
9. The technology sector is facing challenges as it struggles to fill a growing demand for data scientists.
McKinsey Global Institute predicts that the shortage in the U.S. could increase to 250,000 data scientists by 2024.
This skills shortage is a global phenomenon and the dearth of qualified talent is also driving up salaries - data scientists in the US can
expect a six-figure starting salary, while recruitment website Glassdoor has ranked data scientist as the top profession for the past
two years, based on job openings, salary and overall job satisfaction.
Education and professional training are struggling to catch up with industry's demands. About 8,000 people in the US are
graduating each year with master's degrees in data science or data analytics, which is a pitifully small number considering the
scale of the shortage, as experts estimate 100,000-190,000 data science jobs will go unfilled in the United States alone, from 2011
to the end of this decade.
Combatting data science skills gap
10.
11. As wonderful as it would be to have a simple, straightforward solution, a problem this complex features many different
approaches, each with its own advantages and disadvantages. Compounding the issue is the fact that each organization
functions different and has its own set of challenges and obstacles to overcome. So, one-size-fits-all strategy simply doesn’t exist.
There are, however, several ideas and solutions that have cropped up in recent years meant to address this skills gap.
One strategy might be to take employees that already work for the company and train them in the art of using big data. Of
course, building someone up from scratch might not be the most efficient means of getting big data talent, but if an employee
already has skill with programming, mathematics, and problem solving, getting them to become familiar with big data isn’t
necessarily a stretch. They must have an interest in the subject, of course, but the value this can add to the company outweighs
any investment needed for training.
As the demand for big data scientists grows, so too does the number of degree programs being offered by major educational
institutions. In fact, many big tech companies have opened partnerships with universities to develop data science programs
How Companies Can Address Shortage Now?
12. designed to train the next generation of data scientists. This has the added benefit of not only getting students and prospective
data scientists the training they need to tackle big data problems, but it also opens an easy path to go from degree to first job out
of college.
This partnership idea is being implemented all over the world in some interesting ways. A Harvard-based startup, for example, is
looking to give students special apprenticeships wherein they work with industry leaders from giant companies like Apple and
Amazon to solve real world problems those companies are currently facing. Those can include analyzing data for customer insights
or participating in IT Transformation. The idea is to give students some hands-on experience with analytics projects they’ll be taking
on once they have graduated. It makes for a smooth transition and top-notch preparation for a long and successful career as a
data scientist.
While there is no one solution to bridging the big data skills gap, finding one remains a top priority. Businesses have great need to
have talented data scientists as part of their organizations. If the skills gap decreases, more companies will be able to take full
advantage of what big data must offer, providing a clear path to success well into the future.
13. How can we help?
Training employees can be a relatively quick process and can be accomplished in roughly a year.
Companies can choose one or two platforms and can get there quickly.
Launch programs with NetCom Learning that train analysts to become data scientists:
Many organizations are flush with analysts who typically have some data science skills in key areas such as statistics, and are
starting Data Science Transition Program in partnership with NetCom Learning.
Our programs enable high-performing analysts to be apprenticed to a data scientist. From Data Science Essentials, to Machine
Learning algorithms, to Power BI, professionals learn data science skills on the job while taking advantage of our data science
solutions and training programs. At the end of the program, the participant becomes a Data Scientist at the company.
The NetCom Learning Expertise
14. NetCom Learning is an innovative leader in IT, business, and executive training to companies, individuals, and government
agencies, dedicated to promoting the values of lifelong learning. NetCom Learning has trained over 80% of the Fortune 100 and
helped advance the skills of more than 90,000 professionals. NetCom Learning’s efforts at offering a customer-driven culture have
resulted in building a trust factor that can be seen in our high instructor evaluations of 8.6 out of a possible 9. Our instructors have
an average of 20.75 years of experience, and our courses have produced more than 2,300 client testimonials, with 96% of our
clients recommending our services.
Our quality customized learning solutions have earned us the respect of the learning industry, being named Microsoft's Worldwide
Training Partner of the Year, Inc. Magazine 5000's fastest growing company and TrainingIndustry.com's 2016 Top 20 IT Training
Company.
15. An action plan to take charge of the skills gap
Big data has fundamentally changed the way businesses compete and operate. Companies that invest in and successfully derive
value from their data will have a distinct advantage over their competitors — a performance gap that will continue to grow as
more relevant data is generated, emerging technologies and digital channels offer better acquisition and delivery mechanisms,
and the technologies that enable faster, easier data analysis continue to develop. But as it is said, Big opportunities do bring big
challenges.
While there is data science skill shortage, there are learning partners who are constantly improving the workforce productivity by
their innovative learning frameworks.
Organizational leaders should look to these partners and their learning professionals to help identify the skills and competencies
needed now and in the future and to align their development to key drivers for the organization.
IT leaders need to start looking at alternative learning programs: In order to ensure that there are enough people who are capable
in data science, more high schools and universities will have to consider how they teach young people the necessary tech skills. By
Summary and Findings
16. instilling this idea of "unconventional" online learning -- which becomes more conventional by the day -- students will be better
prepared for the expectation that once they enter the workforce, the learning doesn't stop. There is a need to grow the next
generation of analytics and big data experts and we need to start early.
The following action plan identifies six steps for taking charge of skills gaps
• Understand the organization’s or unit’s key strategies, goals, and performance metrics.
• Identify competencies and skills that map to strategies and performance metrics.
• Assess the skills gap.
• Set goals and prioritize the path to filling gaps.
• Implement solutions.
• Monitor and measure results and communicate the impact.
With all of these partners helping, organizations can obtain the skills they need for engaging, challenging, and well-paid work,
while fulfilling their responsibilities to further their professional development.
17. Copyrights 2017 by NetCom Learning
NetCom Learning helps build innovative learning organizations in the
workplace by structuring a smarter workforce, supporting changes, and
driving growth. Since 1998 we have been empowering organizations to
reach optimal performance results and address challenges by managing
all aspects of organizational learning.
Learn more at www.netcomlearning.com