Introduction to Data Science

Learn life cycle of data, time series, and more beneficial skills with Introduction to Data Science.

4.5

Beginner

1.5 Hrs

58.1K+

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Level

Learning hours

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Skills you’ll Learn

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

About this 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.

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Course Outline

What and Why Data Science?

Life Cycle of Data

Basic idea of Distribution

A/B Testing

Time Series

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Frequently Asked Questions

Will I receive a certificate upon completing this free course?

Is this course free?

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. 

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To learn more about Data Science and understand its basics better, enroll in Great Learning’s free Introduction to Data Science free course. Complete all the modules mentioned successfully to get free Data Science certificate. Enhance your resume with the certificate to get better Data Science job opportunities. Enroll Today!

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