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Quick Facts

Medium Of InstructionsMode Of LearningMode Of Delivery
EnglishSelf StudyVideo and Text Based

Courses and Certificate Fees

Certificate AvailabilityCertificate Providing Authority
yesCoursera

The fees for course Introduction to R Programming and Tidyverse is -

HeadAmount
Introduction to R Programming and Tidyverse - 1 month
₹4,091/month
Introduction to R Programming and Tidyverse - 3 month

₹2,727/month
Introduction to R Programming and Tidyverse - 6 month

₹2,046/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

Articles

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