Name: Introduction to Data Science
Rating: 4.53 (1638 reviews)

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What you learn in Introduction to Data Science ?

Introduction to Data Science

Life Cycle of Data

A/B Testing

Time Series

SQL and NoSQL

Big Data

About this Free Certificate Course

To keep up with the ever-evolving aspects of data and its domains, data handling and analysis have become crucial to understanding the information that comes attached to it, and that is exactly why data science has come such a long way. Data science is gradually conquering the world in all its glory, and that's why it's one of the most sought-after career options today, with millions of people wanting to learn the domain and master it. Data Science may be outlined as the study of information, wherever it comes from, what it represents, and also the ways by which it may be reworked into valuable inputs and resources to form business and IT strategies. In this course, you will understand what is data science and why do we need data science in this fast growing technological world. You will learn about life cyle of data along with idea of statistics and time series along with understanding of database such as SQL and NoSQL. Once you have the initial knowledge about the data, you will how to handle large amount of data using Big Data. This course will introduce you to the world of Data Science and topics related to Data Science.

The faculty for the course is Dr. Abhinanda Sarkar, Ph.D. from Stanford University and Ex-Faculty MIT, is Academic Director at Great Learning for Data Science and Machine Learning Programs.

Course Outline

What and Why Data Science?

Life Cycle of Data

Basic idea of Distribution

A/B Testing

Time Series

Our course instructor

Dr. Abhinanda Sarkar

Faculty Director, Great Learning

354.4K+ Learners

17 Courses

Dr. Abhinanda Sarkar is the Academic Director at Great Learning for Data Science and Machine Learning Programs. Dr. Sarkar received his B.Stat. and M.Stat. degrees from the Indian Statistical Institute (ISI) and a Ph.D. in Statistics from Stanford University. He has taught applied mathematics at the Massachusetts Institute of Technology (MIT); been on the research staff at IBM; led Quality, Engineering Development, and Analytics functions at General Electric (GE); served as Associate Dean at the MYRA School of Business; and co-founded OmiX Labs.

Dr. Sarkar’s publications, patents, and technical leadership have been in applying probabilistic models, statistical data analysis, and machine learning to diverse areas such as experimental physics, computer vision, text mining, wireless networks, e-commerce, credit risk, retail finance, engineering reliability, renewable energy, and infectious diseases, His teaching has mostly been on statistical theory, methods, and algorithms; together with application topics such as financial modeling, quality management, and data mining.

Dr. Sarkar is a certified Master Black Belt in Lean Six Sigma and Design for Six Sigma. He has been visiting faculty at Stanford and ISI and continues to teach at the Indian Institute of Management (IIM-Bangalore) and the Indian Institute of Science (IISc). Over the years, he has designed and conducted numerous corporate training sessions for technology and business professionals. He is a recipient of the ISI Alumni Association Medal, IBM Invention Achievement Awards, and the Radhakrishan Mentor Award from GE India

What our learners say about the course

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Introduction to Data Science

With this course, you get

Free lifetime access

Learn anytime, anywhere

Completion Certificate

Stand out to your professional network

1.0 Hours

of self-paced video lectures

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Frequently Asked Questions

What are the three main concepts of Data Science?

Data Science is a domain that involves extracting insights from an extensive amount of data using different scientific methods, processes, and algorithms. Visualization, Statistics, Machine Learning, and Deep Learning are important Data Science concepts.

Is intro to Data Science Easy?

Based on the opinions of the people, the scale changes. Data Science, without a doubt, is a challenging course, but to make it manageable, you must be thorough with your basics. Hence, learning the basics of Data Science is comparatively easy when conveyed and understood well.

What are the four components of Data Science?

Data Strategy, Data Engineering, Data Analysis and Models, and Data Visualization and Operationalization are the four components of Data Science.

Where can I learn the basics of Data Science for free?

You can search on the web for the free materials available on Data Science, and you will find plenty of articles, blogs, and other free resources on the web. If you want to enroll in a free Data Science course, you can register in the free course Great Learning offers and secure free certificate.

Will I get a certificate after completing this introduction to Data Science free course?

Yes, you will get a certificate of completion for Introduction to Data Science after completing all the modules and cracking the assessment. The assessment tests your knowledge of the subject and badges your skills.