Statistics is the study of the collection, analysis, interpretation, presentation, and organisation of data. For all the data science and machine learning enthusiasts it is paramount to be well versed with various statistical concepts such as Hypothesis testing
Every day we find ourselves testing new ideas, finding the fastest route to the office, the quickest way to finish our work, or simply finding a better way to do something we love. The critical question, then, is whether our idea is significantly better than what we tried previously.
These ideas that we come up with on such a regular basis – that’s essentially what a hypothesis is. And testing these ideas to figure out which one works and which one is best left behind, is called hypothesis testing.
Statistics is the Grammar of Data Science
The course is structured in a manner that you will get ample of examples in each module. You’ll get to learn all about

Fundamentals of Hypothesis Testing: The course begins with a simpletounderstand example on hypothesis testing. This chapter will clear all your basics like  Null Hypothesis, Alternative Hypothesis, Type 1 Error, Type 2 Error, and Significance Level.

pvalue

What is the Z Test? The course introduces the most basic type of testing a hypothesis  Z test. Z tests are a statistical way of testing. The chapter covers the one sample as well as the two sample Z test.

What is the tTest? The ttest is another test for validating the hypothesis. The chapter begins with a unique example and later covers both the onesample and twosample ttest.

Deciding between the Z Test and tTest Are you confused on how to use these tests? Don’t worry, the course comprises a simple stepbystep guide on choosing the best test for your experiment.

Case Study: Hypothesis Testing for Coronavirus in Python You’ll get to put your theoretical knowledge into practice and see how well you can do. You will get to work on a hypothesis testing case study on the corona virus dataset in Python!
Prerequisites for the Hypothesis Testing for Data Science and analytics
A basic knowledge of descriptive statistics like  mean, median, mode, variance and standard deviation. Experience in Python is a plus!
Course curriculum

1
Introduction to the course
 Introduction to Hypothesis Testing Course

2
Fundamentals of Hypothesis Testing
 Understanding Hypothesis Testing
 Steps to Perform for Hypothesis testing
 Critical Value  pvalue
 Directional Hypothesis
 NonDirectional Hypothesis

3
What is the Z Test?
 What is Z test?
 OneSample Z test
 OneSample Z test  Example
 TwoSample Z Test
 TwoSample Z Test  Example

4
What is the tTest?
 What is ttest?
 OneSample tTest
 One Sample tTest  Example
 TwoSample tTest
 TwoSample tTest  Example

5
Deciding between Z Test and TTest
 Deciding between Z Test and TTest

6
Case Study: Hypothesis Testing for Coronavirus using Python
 TwoSample Z test for a Coronavirus Dataset
FAQ

You’ll get to put your theoretical knowledge into practice and see how well you can do. You will get to work on a hypothesis testing case study on the corona virus dataset in Python!
A working knowledge of basic statistics would be helpful. Even though we have designed this course for beginners, knowing a bit about basic statistics will help you visualize certain concepts in a more vivid manner.

What is the fee for the course?
This course is free of cost.

How much effort do I need to put in for this course?
You’ll be able to finish this course in a week’s time if you spend an hour on it daily and explore it on your own along with what you learn here.

I’ve completed this course and have a good grasp on Hypothesis Testing. What should I learn next?
The next step in your journey is to build on what you’ve learned so far. There are plenty of options to choose from. We suggest heading to courses.analyticsvidhya.com and browsing through the various offerings available.
You should also incorporate hypothesis testing in your daily life! Try and use problem statements from around you and build hypotheses based on those/ That’s the best way to learn. 
Do I need to install any software as part of the course?
You will not require any software for the learning modules. Python and other libraries are necessary to solve the case study.

How long can I access the course?
Once you register, you will have 6 months to complete the course. If you visit the course 6 months after your initial registration  you will need to enroll in the course again. Your past progress will be lost.

Can I download the videos in this course?
We do not allow videos to be downloaded from the platform. You can visit this free course anytime to refer to these videos.