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This Course Includes
1)
Video Duration :
3:43 Hours
2)
Support Material :
6 Practice Books (Excel)
3)
Access Duration :
Life Time
4)
Certificate :
At Completion
5)
Author :
Abhishek Kapoor
6)
Co-Author :
Amitabh Kukrety
Understanding how different types of data can be collected and analyzed statistically is what Statistics is all about. We need to learn Statistics for various purposes.
Lets take the first step now and understand Statistics in a simple and sequential way.
In this module, we cover -
About Statistics, Sampling, Visualization
Measurements including Mean, Median, Mode, Variances & Standard Deviation
Type of Distributions including Normal, Poison, Binomial, Uniform, Gamma & Chi Square
About Hypothesis Testing, z Score, p Value, Confidence Interval & Errors
Parametric Tests for Hypothesis Testing including T Test, ANOVA
Non-Parametric Tests for Hypothesis Testing including Chi Square Test, 1 Sample Sign Test, Friedman Test, Kruskal Wallis Test, Mann Whitney Test & Spearman Rank Test
This course is perfect for you if you are -
A data science student looking for statistics fundamentals
Doing project work under masters where statistics is an essential element
Regular student of Mathematics and wish to consolidate statistics fundamentals
Find statistics complicated subject and looking for a simple and organized way of learning
Wish to cover the basics of statistics applications without getting deep into complexity of it
The course includes practice sheets on excel which you can download and use to do hands-on with easy to understand examples.
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