Data Science Essentials

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.

Instructor:

Dr. Abhinanda Sarkar
4.52
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Beginner

Level

3.0 Hrs

Learning hours

1.6K+

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Data Science Essentials

3.0 Learning Hours . Beginner

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About this 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.

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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.

Earn a certificate of completion

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Get free course content

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Learn at your own pace

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Master in-demand skills & tools

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Test your skills with quizzes

Data Science Essentials

3.0 Learning Hours . Beginner

Enrol free with email

Trusted by 10 Million+ Learners globally

Learner reviews of the free Data Science course

4.52
69%
22%
4%
5%
0%
Reviewer Profile

5.0

The Course Was Nicely Designed, Faculty Made Every Attempt to Explain All Topics in an Easy Way
Easy explanation of topics, graphical representation, and example-driven learning.
Reviewer Profile

5.0

Very Instructive for Professional Development
The program is a good primer for professionals in understanding the field of data science. It is highly recommended.
Reviewer Profile

5.0

Good Introduction Courses on Data Science
Quick, good introduction to different modules of data science and analytics.

What our learners enjoyed the most

Our course instructor

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Dr. Abhinanda Sarkar

Senior Faculty & Director Academics, Great Learning

Data Science Expert

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565.2K+ Learners
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21 Courses
Dr. Abhinanda Sarkar has B.Stat. and M.Stat. degrees from the Indian Statistical Institute (ISI) and a Ph.D. in Statistics from Stanford University. He was a lecturer at Massachusetts Institute of Technology (MIT) and a research staff member at IBM. Post this he spent a decade at General Electric (GE). He has provided committee service for the University Grants Commission (UGC) of the Government of India, for infoDev – a World Bank program, and for the National Association of Software and Services Companies (NASSCOM). He is a recipient of the ISI Alumni Association Medal, an IBM Invention Achievement Award, and the Radhakrishan Mentor Award from GE India. He is a seasoned academician and has taught at Stanford, ISI Delhi, the Indian Institute of Management (IIM-Bangalore), and the Indian Institute of Science. Currently, he is a Full-Time Faculty at Great Lakes. He is Associate Dean at the MYRA School of Business where he teaches courses such as business analytics, data mining, marketing research, and risk management. He is also co-founder of OmiX Labs – a startup company dedicated to low-cost medical diagnostics and nucleic acid testing.

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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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