Course Description:-

INTRODUCTION:

This course is a short course for all those who want to learn about Hypothesis Testing in R. The topics covered under this course will be taught in detail for better understanding of the participants.

Hypothesis Testing in R Pre-Requisites:

• Passion to learn about R Programming Courses
• Computer with Internet Connection

Hypothesis Testing in R Learning Objectives:

• Hours of content with Practical Examples!
• Learn Practical Training on R Programming

Hypothesis Testing in R Target Audience:

• People from Analytics domain
• Anyone interested in R Programming related Training.

Benefits of online course:

• High Quality Content
• Learn Anywhere Anytime & at Your Pace
• 24X7 Customer Support
• Complete Student Support Throughout The Program
• Course Completion Certificate 
• Lifetime course access

CURRICULUM

Section 1 Introduction

1. Introduction: Theory, Parametric And Non Parametric Tests

Section 2 Types Of Hypothesis

1. Different types of hypothesis, type one and two errors
2. Different types of hypothesis, type one and two errors (Continues)

Section 3 Steps In Doing Hypothesis Testing

1. 7 steps in doing hypothesis testing, p value
2. 7 steps in doing hypothesis testing, p value (Continues)
3. One and two sample hypothesis tests
4. F test in R with codes and example
5. F test in R with codes and example (Continues)
6. T test in R with codes and example
7. T test in R with codes and example (Continues)
8. Z test in R with codes and example
9. Linear reg vs anova
10. One way anova data
11. One-way anova data Continues
12. Plots, interpretation of anova
13. Plots, interpretation of anova Continues
14. Simple and Multiple Linear Regression Basics
15. Linear Regression Datasets in R explain
16. Assumptions of Linear Regression
17. Simple and Multiple Linear Regression in R
18. Simple and Multiple Linear Regression in R Continue

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