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Introduction to R Programming and Tidyverse
Beginner
Online
4,117 INR Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study | Video and Text Based |
Courses and Certificate Fees
| Certificate Availability | Certificate Providing Authority |
|---|---|
| yes | Coursera |
The fees for course Introduction to R Programming and Tidyverse is -
| Head | Amount |
| Introduction to R Programming and Tidyverse - 1 month | ₹4,117/month |
| Introduction to R Programming and Tidyverse - 3 month | ₹2,745/month |
| Introduction to R Programming and Tidyverse - 6 month | ₹2,059/month |
The Syllabus
Videos
- Course Introduction
- Configuring RStudio
- Installing R Packages
- RMarkdown Overview
- Creating an RMarkdown Document
Readings
- Welcome and Course Organization
- R Resources
- Installing R and RStudio
- Fundamentals of R Summary
- Reproducible Research - Why and How
- Helpful Tips and Resources on RMarkdown
Practice Exercises
- R Fundamentals
- RMarkdown
Videos
- Our First Function
- Naming a Function
- Function Inputs
- A Change in Function Requirements
- Conditional Execution
- Multiple Conditions
- For Loops
- Checking Inputs
- Function Output
- Introduction to Pipes
Readings
- Resources
- Writing a Function
- Statement Conditions
- The Switch Statement
- Using the Stop Function
- Return Specific Values
- Using Pipes
Practice Exercises
- Functions
- Input Checking and Outputs
Videos
- Introduction to ggplot 2
- Aesthetics
- Geometric Objects
- Statistical Transformations
- Position Adjustments
- Facets
- Coordinate Systems
Readings
- Resources
- Using ggplot2
Practice Exercises
- Layers
Videos
- Introduction to dplyr
- Chaining Functions
- Selecting Variables (Columns)
- Conditionally Selecting Rows
- Selecting Rows by Location
- Arrange Rows by Value
- Renaming Data
- Distinct, Mutate, and Transmute
- Rename, Relocate, and Summarize
- Summary Functions
- Counting Observations
- Grouping Variables: Part 1
- Grouping Variables: Part 2
- Grouping Variables: Part 3
Readings
- Main dplyr Functions
- R and NA
- Grouping datasets
Practice Exercises
- dplyr Verbs
- Select, Filter, and Arrange