Statistics: Central Limit Theorem and Hypothesis Testing

Get a thorough understanding of the most important concepts in Statistics - Central Limit Theorem and Hypothesis Testing

This course is the key to build an excellent understanding of Inferential Statistics. It has students (from over 
100 countries
) and here is what some of them have to say:

"Well explained sir, every concept is clear as water and the way you explain is very easy to understand the concept. Worth buying this course"
~ K Roshnishree
"The explanations are quite intuitive and the best part is that the course includes practice problems which helps in building the concepts"

~ Swati Sahu
"The detail level coverage of the basic topics is amazing"  
~ Rehana Shake
"This instructor is doing a fine job explaining the statistics concepts"  
~ Frank Herrera
"Very clear examples, thank you sir!"  
~ Gitartha Pathak
Course Description: 
This course is designed for students who are struggling with Statistics or who are complete beginners in statistics.
How is this course structured? 
Section 1 and 2: These 2 sections cover the concepts that are crucial to understand the basics of hypothesis testing - Normal Distribution, Standard Normal Distribution,  Sampling, Sampling Distribution and Central Limit Theorem. (Before you start hypothesis testing, make sure you are absolutely clear with these concepts)
Section 3: This section caters to the basics of hypothesis testing with three methods - Critical Value Method, Z-Score Method and p-value method.
My approach is hands on:  Concepts, examples and solved problems addressing all the concepts covered in the lectures.
Note : Only Hypothesis Testing in Case of Single Population Mean is covered