Datacamp-R

Datacamp courses and exercises for R career track

Basics of R

Basics

Intermediate of R

Conditionals and Control Flow

Loops

Functions

Apply functions

Useful Function

Introduction to TidyVerse

Data wrangling

Data visualization

Grouping and summarizing

Types of visualizations

Import data with R (Part 1)

Importing data from flat files with utils

Importing data with readr & data.table

Importing data from Excel data

Reproducible Excel work with XLConnect

Import data with R (Part 2)

Importing data from databases (Part 1)

Importing data from databases (Part 2)

Importing data from the web (Part 1)

Importing data from the web (Part 2)

Importing data from statistical software packages

Cleaning data with R

Introduction and exploring raw data

Tidying data

Preparing data for analysis

Putting it all together

Importing and Cleaning Data in R Case Studies

Ticket Sales Data

MBTA Ridership Data

World Food Facts

School Attendance Data

Writing Functions in R

A quick refresher

When and how you should write a function

Functional programming

Advanced inputs and outputs

Robust code

Data Manipulation in R with dplyr

Introduction to dplyr and tbls

Select and mutate

Filter and arrange

Summarize and the pipe operator

Group_by and working with databases

Joining Data in R with dplyr

Mutating joins

Filtering joins and set operations

Assembling data

Advanced joining

Case study

Intro to SQL for Data Science

Data Visualization with ggplot2 (Part 1)