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Data Science Essentials

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1.2K+ Learners
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Beginner

Learn the basics of Data Science Essentials with a free online course. Gain a solid foundation in data analysis, statistics, machine learning, and data visualization. Enroll now in our free Data Science Essentials course.

What you learn in Data Science Essentials ?

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Introduction to Data Science
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Life Cycle of Data
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A/B Testing
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Time Series
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SQL and NoSQL
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Big Data

About this Free Certificate Course

To keep pace with the ever-changing landscape of data and its related fields, the handling and analysis of data have become increasingly important. That's why data science has become such a rapidly growing field, attracting millions of people who want to learn and master the subject.


Data Science is the study of information, its origins, meaning, and how it can be transformed into valuable resources and inputs to inform business and IT strategies. In this course, you will learn what data science is and why it's crucial in today's technology-driven world.


You will be introduced to the life cycle of data, the basics of statistics and time series analysis, as well as databases like SQL and NoSQL. After gaining an understanding of data, you will learn how to handle large amounts of data using Big Data techniques. This course provides a comprehensive introduction to the world of Data Science and its related topics.


Dr. Abhinanda Sarkar, Ph.D. from Stanford University and former MIT faculty, teach the course. He is the Academic Director at Great Learning for the 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
Introducti
Big Data - 3Vs
Introduction to SQL and NoSQL
SQL vs NoSQL

This module contains an in-depth explanation of the various pros and cons of SQL and NoSQL.

Our course instructor

Dr. Abhinanda Sarkar

Faculty Director, Great Learning

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357.5K+ Learners
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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

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Data Science Essentials

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Other Data Science tutorials for you

Data Science Essentials is a field that combines various disciplines, including statistics, mathematics, computer science, and domain knowledge, to extract insights and knowledge from data. It analyzes large and complex data sets to uncover patterns, relationships, and insights that can inform decision-making and drive business value.

Data Science is important because organizations in all industries collect and store vast amounts of data. The demand for professionals making sense of this data is growing rapidly. Data Science skills can help organizations gain a competitive edge by allowing them to make data-driven decisions, improve operations, and drive innovation.

To study Data Science Essentials, you can enroll in a free online course. A free online course is a great way to get started with Data Science and learn the basics of the field without incurring any costs. It can also help you to determine if Data Science is the right career path for you before committing to more extensive and expensive training programs.

In a free Data Science Essentials course, you can expect to learn about the basics of data science, including data cleaning and preparation, statistical analysis, machine learning, and data visualization. You will also get hands-on experience with data analysis tools and techniques and have the opportunity to work on real-world data science projects.

By taking a free Data Science Essentials course, you will gain a solid foundation in the field and develop the skills and knowledge necessary to pursue a career in Data Science or continue your studies in more advanced topics. Whether you are a student, professional, or simply interested in Data Science, a free online course is a great way to get started and learn about this exciting and rapidly growing field.

 

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