Crash Course – R programming from Scratch & workout

Course Curriculum

Chapter 1: Getting Started with R

Lecture 1: Course Overview

Lecture 2: Welcome Note

Lecture 3: Section Agenda

Lecture 4: Installation of R and R studio / Understand R environment

Lecture 5: Understand Data for Workout

Lecture 6: Download files used in the course

Lecture 7: Section PDF

Chapter 2: Work with Data

Lecture 1: Section Overview

Lecture 2: Import Data in R

Lecture 3: Direct data entry in R

Lecture 4: View Data and Metadata

Lecture 5: Frequency Distribution Analysis

Lecture 6: Numeric Variable Analysis / Univariate Analysis

Lecture 7: Merge Data sets

Lecture 8: Append Data sets

Lecture 9: Derive New Variables

Lecture 10: Arithmetic and Logical Operators

Lecture 11: Section PDF

Chapter 3: Other R procedure

Lecture 1: Section Overview

Lecture 2: Filter data, Keep some fields, drop some fields, sort data and show top n rows

Lecture 3: Cross Tab Analysis

Lecture 4: Regression Analysis

Lecture 5: Using Substring Function

Lecture 6: Section PDF

Chapter 4: Practice Case Studies – apply your knowledge to solve business problems

Lecture 1: Why these practice case studies?

Lecture 2: Q 1: Find lnew in list B (B-A) stuff

Lecture 3: A 1: Find new in list B (B-A) stuff

Lecture 4: Q 2: Variable Substring Challenge

Lecture 5: A 2: Variable Substring Challenge

Lecture 6: Q 3: Investigate linear relationship between variables

Lecture 7: A 3: Investigate linear relationship between variables

Lecture 8: Q 4:Tabular report in presence of 2 class variable & different statistics neede

Lecture 9: A 4:Tabular report in presence of 2 class variable & different statistics neede

Lecture 10: Q 5s: Little help about seasonality and pair T test for next problem

Lecture 11: Q 5: Pair T Test in presence of seasonality

Lecture 12: A 5: Pair T Test in presence of seasonality

Lecture 13: Q 6: Calculate red car percentage for different age group & run chi square test

Lecture 14: A 6: Calculate red car percentage for different age group & run chi square test

Lecture 15: Q 7: Calculate relative variance (Coefficient of Variance)

Lecture 16: Q 7s: What is Coefficient of Variance? Why it is required?

Lecture 17: A 7: Calculate relative variance (Coefficient of Variance)

Lecture 18: Q 8: Work with date and create stacked chart

Lecture 19: A 8: Work with date and create stacked chart

Lecture 20: Q 9: Using SQL within R for agreegate function based complexities

Lecture 21: A 9: Using SQL within R for agreegate function based complexities

Lecture 22: Q 10: Customized complex text for each row (row wise max/min and field name)

Lecture 23: A 10: Customized complex text for each row (row wise max/min and field name)

Chapter 5: Appendix Topics (based on student's demand)

Lecture 1: Word Cloud using R

Lecture 2: Closing Words