  #### Statistics with R

Program Highlights:
Praxis Certification, Placement Support

## Statistics with R

This Short-Term Program – designed by veterans in the Analytics industry; helps you master ‘Statistics with R’, which is predominantly used in Data Analytics. This uniquely blended Program is brought to by Praxis, a Top-ranked Analytics B-School in India.

## Program Summary

• 2 credits
###### Credits

With this course, you are 5 credits short of an assured placement.

• Duration 3 Months
• 15 Hours of projects/Assignments
• 30 Hours of online sessions

• 1

## Statistics with R

• ### Introduction to Data

• Data Basics
• Overview of data collection principles
• Experiments - Principles of experiment design
• Examining Numerical and Categorical data
• Comparing numerical data across groups
• ### Introduction to Probability

• Introduction
• Conditional probability
• Bayes’ Rule
• ### Distributions

• Discrete Distributions
• Continuous Distributions
• ### Introduction to linear regression

• Correlation
• Line fitting
• Fitted values
• Residuals
• Basic introduction to multiple regression
• ### Foundations for inference and estimation

• Variability in estimates
• Sampling distribution
• Confidence intervals
• Margin of error and ascertaining a sample size
• ### Foundations for inference and hypothesis testing

• Nearly normal population with known SD
• Hypothesis testing framework
• Two Tailed and One Tailed tests
• Testing hypothesis using confidence intervals and Critical Z values
• One-sample means with the t distribution with unknown population SD
• Inference for a single proportion
• Decision errors (Type 1 and 2)
• Hypothesis testing using p-values
• Choosing a significance level
• Power and the type 2 error rate
• ### Linear Regression and Multiple Regression

• Introduction to F-statistic
• Hypothesis Tests
• Intervals
• Coefficient of Multiple Determination
• Interpreting the model output

## Industry Collaboration ## Program Mentors

Learn from the best in the industry