- Last updated 02/2026
- 2 hours 5 minutes
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English
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Course Overview
Data is the new science, and big data holds the key to valuable insights. The 'Data Science' course
offers a comprehensive overview of data analytics, covering all aspects of handling and analyzing
data to extract lasting value.
Course Content
7 sections • 6 Activities • 2 h 5 m total length
Expand all Sections Introduction to Data Science
The module provides an overview of data science and its importance.
Basics for Data Analytics
The module provides an understanding on the types of data and different processes involved in data science such as identification of problem, development of hypothesis and collection of data.
Statistics for Data Analytics
The module provides insight on the various statistical tools used to analyse and present the data.
Probability and Probability Distribution
The module provides knowledge of different probability distribution with their application and working.
Inferential Statistics – basic techniques
The module deals with some of the basic techniques of inferential statistics.
Inferential Statistics – advanced techniques
The module deals with some advanced techniques of inferential statistics like logistic regression, decision trees, cluster analysis, and forecasting techniques like time series.
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