Statistics with R

INR 12,500

No Cost EMI of Rs. 1040 per month learn more

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Program Summary

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

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.

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Program Highlights

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Modules

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

Mentors

Testimonials

Course Highlights

Key Features of the Program

Outcome of the Program

This course will help you learn and master the R language that is widely used among arithmeticians and data miners for mounting statistical software and data examination. You can become a Statistics Expert once you have mastered R – one of the most popular tools for data analysis and statistics.

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