Attend The Data Science Course in Bangalore From ExcelR. Practical Data Science Course in Bangalore Sessions With Assured Placement Support From Experienced Faculty. ExcelR Offers The Data Science Course in Bangalore.
Attend The Data Science Course From ExcelR. Practical Data Science Course Sessions With Assured Placement Support From Experienced Faculty. ExcelR Offers The Data Science Course.
A complete brief introduction and importance on Data Science, Data Analytics, Business Analytics, Tools used for Analytics, Artificial Intelligence and Machine Learning.
How Artificial Intelligence is Playing Vital Role in Disrupting the Pharma In...Tyrone Systems
The way industries are adopting AI and machine learning, it will eventually drive remarkable growth in the coming years. Research says the AI market will reach $89.8 Billion in Annual Worldwide Revenue by 2025.
The pharmaceutical industry is not an exception in this scenario. The impact of Artificial Intelligence in the pharmaceutical industry is undeniable. Many pharma companies throughout the world have already started leveraging AI in their business. Various factors are responsible for the advancement of this cutting-edge technology in the pharmaceutical industry and it has a promising future ahead. Today’s post will discuss everything about this.
AI - The Next Frontier for Connected Pharmasambiswal
Big pharma has long been challenged with siloed data resulting from drug discovery information, clinical trial results and product marketing research stored separately in decade-old legacy systems. Thus, the pharmaceutical industry is ripe for the actionable insights offered by these advances to offset the growing costs of drug discovery while still meeting the demands of a value-based care model. It is time for a connected approach in the pharmaceutical industry.
Attend The Data Science Course From ExcelR. Practical Data Science Course Sessions With Assured Placement Support From Experienced Faculty. ExcelR Offers The Data Science Course.
A complete brief introduction and importance on Data Science, Data Analytics, Business Analytics, Tools used for Analytics, Artificial Intelligence and Machine Learning.
How Artificial Intelligence is Playing Vital Role in Disrupting the Pharma In...Tyrone Systems
The way industries are adopting AI and machine learning, it will eventually drive remarkable growth in the coming years. Research says the AI market will reach $89.8 Billion in Annual Worldwide Revenue by 2025.
The pharmaceutical industry is not an exception in this scenario. The impact of Artificial Intelligence in the pharmaceutical industry is undeniable. Many pharma companies throughout the world have already started leveraging AI in their business. Various factors are responsible for the advancement of this cutting-edge technology in the pharmaceutical industry and it has a promising future ahead. Today’s post will discuss everything about this.
AI - The Next Frontier for Connected Pharmasambiswal
Big pharma has long been challenged with siloed data resulting from drug discovery information, clinical trial results and product marketing research stored separately in decade-old legacy systems. Thus, the pharmaceutical industry is ripe for the actionable insights offered by these advances to offset the growing costs of drug discovery while still meeting the demands of a value-based care model. It is time for a connected approach in the pharmaceutical industry.
Artificial Intelligence in Pharma - Where it MattersDaniel Faggella
This slide deck is for a presentation for a room of French pharmaceutical executives at the Paris Region Enterprises offices in San Francisco. The presentation draws on some of our pharma coverage from TechEmergence over the last year, including:
1) https://www.techemergence.com/ai-in-pharma-and-biomedicine/
2) https://www.techemergence.com/machine-learning-in-pharma-medicine/
Big Data Analytics and its Application in E-CommerceUyoyo Edosio
Abstract-This era unlike any, is faced with explosive
growth in the size of data generated/captured. Data
growth has undergone a renaissance, influenced
primarily by ever cheaper computing power and
the ubiquity of the internet. This has led to a
paradigm shift in the E-commerce sector; as data is
no longer seen as the byproduct of their business
activities, but as their biggest asset providing: key
insights to the needs of their customers, predicting
trends in customer’s behavior, democratizing of
advertisement to suits consumers varied taste, as
well as providing a performance metric to assess the
effectiveness in meeting customers’ needs.
This paper presents an overview of the unique
features that differentiate big data from traditional
datasets. In addition, the application of big data
analytics in the E-commerce and the various
technologies that make analytics of consumer data
possible is discussed.
Further this paper will present some case studies of
how leading Ecommerce vendors like Amazon.com,
Walmart Inc, and Adidas apply Big Data analytics in
their business strategies/activities to improve their
competitive advantage. Lastly we identify some
challenges these E-commerce vendors face while
implementing big data analytic
Framework to Analyze Customer’s Feedback in Smartphone Industry Using Opinion...IJECEIAES
In the present age, cellular phones are the largest selling products in the world. Big Data Analytics is a method used for examining large and varied data, which we know as big data. Big data analytics is very useful for understanding the world of cellphone business. It is important to understand the requirements, demands, and opinions of the customer. Opinion Mining is getting more important than ever before, for performing analysis and forecasting customer behavior and preferences. This study proposes a framework about the key features of cellphones based on which, customers buy them and rate them accordingly. This research work also provides balanced and well researched reasons as to why few companies enjoy dominance in the market, while others do not make as much of an impact.
Business use cases highlight how big data can drive organizations towards tangible results. These use cases are practical points of reference that emphasize why (and how) investing in big data is worthwhile.
Organizational change is closely tied to digitization. Economists have not appreciated how firms are employing AI besides employing it to deploy robots. In fact, many firms have innovated by creating intelligent analytic systems that change their ability to create new products and manage processes and production.
In these firms, AI helps firms understand complex operations, connect with customers on a personalized level, and obtain a far more sophisticated analysis of processes and services. The result is that AI and ML are creating many new economic advantages at the firm level and for customers.artifici
Advanced analytics playing a vital role for health insurersBodhtree
Insurance companies are realizing the benefits of using advanced analytics for designing products, segmenting and developing metrics for risk management.Analytics can enable the compilation of information about trends, patterns, deviations, anomalies and relationships and reveal insight.
Why Data Science is Getting Popular in 2023?kavyagaur3
Data science employs mathematics, statistics, advanced programming techniques, analytics and artificial intelligence (AI) to uncover insights that drive business value for their organisation. Then, this information can be used for strategic planning and decision-making.
Data has flooded in massive amounts as a result of digitization. Businesses are making their utmost efforts to take advantage of every opportunity to increase their businesses. This makes the best opportunity for individuals who want to pursue Data Science. The first step is to get the best data science training.
Data science is the practice of extracting, analyzing, and interpreting large amounts of data to identify trends, correlations, and patterns. It combines machine learning, statistics, programming, and data engineering tools to uncover insights that can inform business decisions. Data scientists collect, organize, and analyze large amounts of data to find valuable insights and make predictions. Data science can be used in various industries, from finance and health care to retail and advertising. By leveraging data-driven decision-making, companies are able to gain a better understanding of their customers, identify new growth opportunities, and optimize their operations.
Data science skills are necessary for entrepreneurs today, irrespective of their job title. Know why data science skills are important for entrepreneurs.
DATA MINING WITH CLUSTERING ON BIG DATA FOR SHOPPING MALL’S DATASETAM Publications
Big Data is the extremely large sets of data that their sizes are beyond the ability of capturing, managing, processing and storage by most software tools and people which is ever increasing day-by-day. In most enterprise scenarios the data is too big or it moves too fast that extremely exceeds current processing capacity. The term big data is also used by vendors, may refer to the technology which includes tools and processes that an organization requires to handle the large amounts of data and storage facilities. This advancement in technology leads to make relationship marketing a reality for today’s competitive world. But at the same time this huge amount of data cannot be analyzed in a traditional manner, by using manual data analysis. For this, technologies such as data warehousing and data mining have made customer relationship management as a new area where business firms can gain a competitive advantage for identifying their customer behaviors and needs. This paper mainly focuses on data mining technique that performs the extraction of hidden predictive information from large databases and organizations can identify valuable customers and predicts future user behaviors. This enables different organizations to make proactive, knowledge-driven decisions. Data mining tools answer business questions that in the past were too time-consuming, this makes customer relationship management possible. For this in this paper, we are trying explain the use of data mining technique to accomplish the goals of today’s customer relationship management and Decision making for different companies that deals with big data.
Solving Stagnated Business Growth with Data MiningAndrew Leo
In today's data-driven world, leveraging insights from vast datasets can propel your business to new heights. From enhancing customer experiences to optimizing decision-making, data mining offers endless opportunities for growth and innovation.
Key benefits of data mining include:
Personalized customer experiences
Improved decision-making
New business models
Enhanced efficiency
Stronger cybersecurity
Achieving social goals
Discover how data mining can transform your sales strategies, marketing campaigns, healthcare services, customer service, HR management, fraud detection, and manufacturing processes.
Curious to learn more? Check out our comprehensive guide on how data mining can help solve stagnated business growth.
Ready to harness the power of data mining for your business? Let's connect and explore the possibilities.
Data strategy - The Business Game ChangerAmit Pishe
This blog highlights the basics of Data Strategy and its application in real-time business scenarios. Components of Data strategy, Data Analytics have been explained crisply. How Insights and Data Stories can be used to create powerful impact on the Business decisions.
Artificial Intelligence in Pharma - Where it MattersDaniel Faggella
This slide deck is for a presentation for a room of French pharmaceutical executives at the Paris Region Enterprises offices in San Francisco. The presentation draws on some of our pharma coverage from TechEmergence over the last year, including:
1) https://www.techemergence.com/ai-in-pharma-and-biomedicine/
2) https://www.techemergence.com/machine-learning-in-pharma-medicine/
Big Data Analytics and its Application in E-CommerceUyoyo Edosio
Abstract-This era unlike any, is faced with explosive
growth in the size of data generated/captured. Data
growth has undergone a renaissance, influenced
primarily by ever cheaper computing power and
the ubiquity of the internet. This has led to a
paradigm shift in the E-commerce sector; as data is
no longer seen as the byproduct of their business
activities, but as their biggest asset providing: key
insights to the needs of their customers, predicting
trends in customer’s behavior, democratizing of
advertisement to suits consumers varied taste, as
well as providing a performance metric to assess the
effectiveness in meeting customers’ needs.
This paper presents an overview of the unique
features that differentiate big data from traditional
datasets. In addition, the application of big data
analytics in the E-commerce and the various
technologies that make analytics of consumer data
possible is discussed.
Further this paper will present some case studies of
how leading Ecommerce vendors like Amazon.com,
Walmart Inc, and Adidas apply Big Data analytics in
their business strategies/activities to improve their
competitive advantage. Lastly we identify some
challenges these E-commerce vendors face while
implementing big data analytic
Framework to Analyze Customer’s Feedback in Smartphone Industry Using Opinion...IJECEIAES
In the present age, cellular phones are the largest selling products in the world. Big Data Analytics is a method used for examining large and varied data, which we know as big data. Big data analytics is very useful for understanding the world of cellphone business. It is important to understand the requirements, demands, and opinions of the customer. Opinion Mining is getting more important than ever before, for performing analysis and forecasting customer behavior and preferences. This study proposes a framework about the key features of cellphones based on which, customers buy them and rate them accordingly. This research work also provides balanced and well researched reasons as to why few companies enjoy dominance in the market, while others do not make as much of an impact.
Business use cases highlight how big data can drive organizations towards tangible results. These use cases are practical points of reference that emphasize why (and how) investing in big data is worthwhile.
Organizational change is closely tied to digitization. Economists have not appreciated how firms are employing AI besides employing it to deploy robots. In fact, many firms have innovated by creating intelligent analytic systems that change their ability to create new products and manage processes and production.
In these firms, AI helps firms understand complex operations, connect with customers on a personalized level, and obtain a far more sophisticated analysis of processes and services. The result is that AI and ML are creating many new economic advantages at the firm level and for customers.artifici
Advanced analytics playing a vital role for health insurersBodhtree
Insurance companies are realizing the benefits of using advanced analytics for designing products, segmenting and developing metrics for risk management.Analytics can enable the compilation of information about trends, patterns, deviations, anomalies and relationships and reveal insight.
Why Data Science is Getting Popular in 2023?kavyagaur3
Data science employs mathematics, statistics, advanced programming techniques, analytics and artificial intelligence (AI) to uncover insights that drive business value for their organisation. Then, this information can be used for strategic planning and decision-making.
Data has flooded in massive amounts as a result of digitization. Businesses are making their utmost efforts to take advantage of every opportunity to increase their businesses. This makes the best opportunity for individuals who want to pursue Data Science. The first step is to get the best data science training.
Data science is the practice of extracting, analyzing, and interpreting large amounts of data to identify trends, correlations, and patterns. It combines machine learning, statistics, programming, and data engineering tools to uncover insights that can inform business decisions. Data scientists collect, organize, and analyze large amounts of data to find valuable insights and make predictions. Data science can be used in various industries, from finance and health care to retail and advertising. By leveraging data-driven decision-making, companies are able to gain a better understanding of their customers, identify new growth opportunities, and optimize their operations.
Data science skills are necessary for entrepreneurs today, irrespective of their job title. Know why data science skills are important for entrepreneurs.
DATA MINING WITH CLUSTERING ON BIG DATA FOR SHOPPING MALL’S DATASETAM Publications
Big Data is the extremely large sets of data that their sizes are beyond the ability of capturing, managing, processing and storage by most software tools and people which is ever increasing day-by-day. In most enterprise scenarios the data is too big or it moves too fast that extremely exceeds current processing capacity. The term big data is also used by vendors, may refer to the technology which includes tools and processes that an organization requires to handle the large amounts of data and storage facilities. This advancement in technology leads to make relationship marketing a reality for today’s competitive world. But at the same time this huge amount of data cannot be analyzed in a traditional manner, by using manual data analysis. For this, technologies such as data warehousing and data mining have made customer relationship management as a new area where business firms can gain a competitive advantage for identifying their customer behaviors and needs. This paper mainly focuses on data mining technique that performs the extraction of hidden predictive information from large databases and organizations can identify valuable customers and predicts future user behaviors. This enables different organizations to make proactive, knowledge-driven decisions. Data mining tools answer business questions that in the past were too time-consuming, this makes customer relationship management possible. For this in this paper, we are trying explain the use of data mining technique to accomplish the goals of today’s customer relationship management and Decision making for different companies that deals with big data.
Solving Stagnated Business Growth with Data MiningAndrew Leo
In today's data-driven world, leveraging insights from vast datasets can propel your business to new heights. From enhancing customer experiences to optimizing decision-making, data mining offers endless opportunities for growth and innovation.
Key benefits of data mining include:
Personalized customer experiences
Improved decision-making
New business models
Enhanced efficiency
Stronger cybersecurity
Achieving social goals
Discover how data mining can transform your sales strategies, marketing campaigns, healthcare services, customer service, HR management, fraud detection, and manufacturing processes.
Curious to learn more? Check out our comprehensive guide on how data mining can help solve stagnated business growth.
Ready to harness the power of data mining for your business? Let's connect and explore the possibilities.
Data strategy - The Business Game ChangerAmit Pishe
This blog highlights the basics of Data Strategy and its application in real-time business scenarios. Components of Data strategy, Data Analytics have been explained crisply. How Insights and Data Stories can be used to create powerful impact on the Business decisions.
This talk is an introduction to Data Science. It explains Data Science from two perspectives - as a profession and as a descipline. While covering the benefits of Data Science for business, It explaints how to get started for embracing data science in business.
Data Analytics has become a crucial part of the IT industry, as businesses strive to extract meaningful insights from the massive amounts of data they generate. APTRON's Data Analytics Training in Gurgaon is designed to equip learners with the knowledge and skills required to become proficient in the field.
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.
Unveiling the Power of Data Analytics Transforming Insights into Action.pdfKajal Digital
Data analytics is the process of examining raw data to discover patterns, correlations, trends, and other valuable information. Its significance lies in its ability to transform data into actionable insights, ultimately leading to informed decision-making and improved business outcomes. From optimizing operational processes to enhancing customer experiences, data analytics offers a plethora of benefits across various sectors.
Introduction:
In the era of digital transformation, data has become a valuable asset for businesses and organisations across various industries. The collection, analysis, and interpretation of data play a pivotal role in shaping strategic decisions and improving overall efficiency. One key player in this data-driven ecosystem is the data collection company, which specialises in gathering, processing, and providing valuable insights from vast amounts of information.
The Growing Significance of Data Collection Companies:
Data collection companies have become integral to the success of businesses seeking to gain a competitive edge. These firms employ advanced technologies and methodologies to accumulate data from diverse sources, including online platforms, social media, market research, and more. The breadth and depth of data collected allow companies to better understand consumer behaviour, market trends, and industry dynamics.
Types of Data Collection Methods:
Web Scraping:
Data collection company often utilise web scraping techniques to extract information from websites, forums, and online databases. This method enables them to gather real-time data on product prices, customer reviews, and competitor activities.
Surveys and Questionnaires:
Conducting surveys and questionnaires is a traditional yet effective method for gathering specific information directly from target audiences. Data collection companies design surveys to collect insights on consumer preferences, opinions, and demographic details.
IoT Devices:
With the rise of the Internet of Things (IoT), data collection companies leverage connected devices to gather information on user behaviour, preferences, and usage patterns. This data is valuable for improving product design and functionality.
Social Media Monitoring:
Monitoring social media platforms allows data collection companies to analyse public sentiment, track brand mentions, and identify emerging trends. This information aids businesses in adapting their marketing strategies and improving customer relations.
Challenges and Ethical Considerations:
While data collection offers numerous benefits, it is not without challenges and ethical considerations. Privacy concerns, data security, and the responsible use of information are critical aspects that data collection companies must navigate. Striking a balance between collecting valuable insights and respecting user privacy is essential for maintaining public trust.
Conclusion:
Data collection company’s play a vital role in the modern data ecosystem, empowering businesses with the information needed to make informed decisions. As technology continues to advance, these companies will likely evolve in their methodologies and capabilities, further influencing the way organisations harness the power of data for innovation and growth. However, it is crucial for these entities to uphold ethical standards and prioritise data security to ensure a sustainable and responsible data-driven future.
Attend The Best Artificial Intelligence course From ExcelR. Practical Best Artificial Intelligence course Sessions With Assured Placement Support From Experienced Faculty. ExcelR Offers The Best Artificial Intelligence course.
Attend The Data Science Course in Bangalore From ExcelR. Practical Data Science Course in Bangalore Sessions With Assured Placement Support From Experienced Faculty. ExcelR Offers The Data Science Course in Bangalore.
Attend The Data Science Courses in Bangalore From ExcelR. Practical Data Science Courses in Bangalore Sessions With Assured Placement Support From Experienced Faculty. ExcelR Offers The Data Science Courses in Bangalore.
Attend The Data Science Training in Bangalore From ExcelR. Practical Data Science Training in Bangalore Sessions With Assured Placement Support From Experienced Faculty. ExcelR Offers The Data Science Courses in Bangalore.
<a href="https://www.excelr.com/business-analytics-training-in-bangalore">ExcelR data analytics courses</a>
Attend The project management course in bangalore From ExcelR. Free Mock Sessions With Assured Support From Experienced Faculty. ExcelR Offers The Project Management professional course in bangalore.
Attend The project management course in bangalore From ExcelR. Free Mock Sessions With Assured Support From Experienced Faculty. ExcelR Offers The Project Management professional course in bangalore.
Attend The project management course in bangalore From ExcelR. Free Mock Sessions With Assured Support From Experienced Faculty. ExcelR Offers The Project Management professional course in bangalore.
Attend The project management course in bangalore From ExcelR. Free Mock Sessions With Assured Support From Experienced Faculty. ExcelR Offers The Project Management professional course in bangalore.
Attend The project management course in bangalore From ExcelR. Free Mock Sessions With Assured Support From Experienced Faculty. ExcelR Offers The Project Management professional course in bangalore.
Attend The project management course in bangalore From ExcelR. Free Mock Sessions With Assured Support From Experienced Faculty. ExcelR Offers The Project Management professional course in bangalore.
Attend The Data Science Certification From ExcelR. Practical Data Science Certification Sessions With Assured Placement Support From Experienced Faculty. ExcelR Offers The Data Science Certification.
Attend The project management course in bangalore From ExcelR. Free Mock Sessions With Assured Support From Experienced Faculty. ExcelR Offers The Project Management professional course in bangalore.
Attend The Data Science Certification From ExcelR. Practical Data Science Certification Sessions With Assured Placement Support From Experienced Faculty. ExcelR Offers The Data Science Certification.
The Art Pastor's Guide to Sabbath | Steve ThomasonSteve Thomason
What is the purpose of the Sabbath Law in the Torah. It is interesting to compare how the context of the law shifts from Exodus to Deuteronomy. Who gets to rest, and why?
Students, digital devices and success - Andreas Schleicher - 27 May 2024..pptxEduSkills OECD
Andreas Schleicher presents at the OECD webinar ‘Digital devices in schools: detrimental distraction or secret to success?’ on 27 May 2024. The presentation was based on findings from PISA 2022 results and the webinar helped launch the PISA in Focus ‘Managing screen time: How to protect and equip students against distraction’ https://www.oecd-ilibrary.org/education/managing-screen-time_7c225af4-en and the OECD Education Policy Perspective ‘Students, digital devices and success’ can be found here - https://oe.cd/il/5yV
Operation “Blue Star” is the only event in the history of Independent India where the state went into war with its own people. Even after about 40 years it is not clear if it was culmination of states anger over people of the region, a political game of power or start of dictatorial chapter in the democratic setup.
The people of Punjab felt alienated from main stream due to denial of their just demands during a long democratic struggle since independence. As it happen all over the word, it led to militant struggle with great loss of lives of military, police and civilian personnel. Killing of Indira Gandhi and massacre of innocent Sikhs in Delhi and other India cities was also associated with this movement.
How to Make a Field invisible in Odoo 17Celine George
It is possible to hide or invisible some fields in odoo. Commonly using “invisible” attribute in the field definition to invisible the fields. This slide will show how to make a field invisible in odoo 17.
How to Split Bills in the Odoo 17 POS ModuleCeline George
Bills have a main role in point of sale procedure. It will help to track sales, handling payments and giving receipts to customers. Bill splitting also has an important role in POS. For example, If some friends come together for dinner and if they want to divide the bill then it is possible by POS bill splitting. This slide will show how to split bills in odoo 17 POS.
This is a presentation by Dada Robert in a Your Skill Boost masterclass organised by the Excellence Foundation for South Sudan (EFSS) on Saturday, the 25th and Sunday, the 26th of May 2024.
He discussed the concept of quality improvement, emphasizing its applicability to various aspects of life, including personal, project, and program improvements. He defined quality as doing the right thing at the right time in the right way to achieve the best possible results and discussed the concept of the "gap" between what we know and what we do, and how this gap represents the areas we need to improve. He explained the scientific approach to quality improvement, which involves systematic performance analysis, testing and learning, and implementing change ideas. He also highlighted the importance of client focus and a team approach to quality improvement.
We all have good and bad thoughts from time to time and situation to situation. We are bombarded daily with spiraling thoughts(both negative and positive) creating all-consuming feel , making us difficult to manage with associated suffering. Good thoughts are like our Mob Signal (Positive thought) amidst noise(negative thought) in the atmosphere. Negative thoughts like noise outweigh positive thoughts. These thoughts often create unwanted confusion, trouble, stress and frustration in our mind as well as chaos in our physical world. Negative thoughts are also known as “distorted thinking”.
Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
Model Attribute Check Company Auto PropertyCeline George
In Odoo, the multi-company feature allows you to manage multiple companies within a single Odoo database instance. Each company can have its own configurations while still sharing common resources such as products, customers, and suppliers.
Palestine last event orientationfvgnh .pptxRaedMohamed3
An EFL lesson about the current events in Palestine. It is intended to be for intermediate students who wish to increase their listening skills through a short lesson in power point.
The French Revolution, which began in 1789, was a period of radical social and political upheaval in France. It marked the decline of absolute monarchies, the rise of secular and democratic republics, and the eventual rise of Napoleon Bonaparte. This revolutionary period is crucial in understanding the transition from feudalism to modernity in Europe.
For more information, visit-www.vavaclasses.com
2. INTRODUCTIONTO DATA SCIENCE
Data Science is one amongst the fastest-growing, difficult and high paying jobs of this
decade. So, the question is what is data science? data science is an interdisciplinary
field (it consists of more than one branch of study) that uses statistics, computer
science and machine learning algorithms to gain insights from both structured and
unstructured data. According to ‘Economic Times’ India has seen more than 400
percent rise in demand for data science professionals across varied industry sectors
at a time when the supply of such talent witness slow growth.
4. APPLICATIONS
1. Marketing
There is a huge scope in marketing, for example, Improved Pricing strategy Companies like Uber, e-commerce
companies can use data science-driven pricing which allows them to increase their profits.
2. Healthcare
Using wearable data to prevent and monitor health problems.The data generated from the body can be used in
healthcare to prevent future emergencies.
3. Banking and Finance
As we discussed the introduction to data science now we will go ahead with the application of data science uses in
the banking sector for fraud detection which can be helpful in reducing the Non-Performing Assets of banks.
4. Government Policies
The Government can use data science to prepare better policies to cater better to the needs of the people and what
they want using the data they can get by conducting surveys and others from other official sources.
5. ADVANTAGES
In this topic of IntroductionTo Data Science, we also show you the advantages of Data Science. Some of them are as
follows:
It helps America to induce insights from the historical information with its powerful tools.
It helps to optimize the business, hire the right persons and generate more revenue as using data science helps
you to make better future decisions for the business.
Companies can develop and market their products better as they can better select their target customers.
Introduction to Data Science also helps consumers search for better goods, especially in e-commerce sites based
on the data-driven recommendation system.
6. DISADVANTAGES
As we studied about the introduction to data science now we are going ahead with
the disadvantages of data science:
The disadvantages are generally when data science is used for customer profiling and
infringement of customer privacy, as their information, such as transactions,
purchases, and subscriptions, is visible their parent companies.The information
obtained mistreatment knowledge science is used against a precise cluster,
individual, country or community.
7. OUTCOMES
On fortunate completion of this unit a student ought to be ready to:
analyze the role of data in organizations, including curation and management issues;
apply basic tools for performing exploratory data analysis and visualization;
apply basic tools for managing and processing big data;
apply basic predictive modeling and data analysis methods;
determine data storage and processing requirements for a data science project;
identify data resources and standards.
8. THANKYOU
Please Contact us Here by attached following link.
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