Learn everything you need to know to get started with RStudio IDE, and to clean, transform and load data with RStudio. Read more.
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Get Started with All Access PassBuy Only This CourseAbout This Course
Who this course is for:
- Beginner R developers curious about using RStudio and R for data analysis
What you’ll learn:
- Install R and RStudio on your desktop, or use the new cloud-based solution that allows anyone to learn R, directly from your browser
- The 10 most important things that 99% of R programmers should know about the RStudio IDE Interface
- How to install and load R packages, from CRAN and Github, into the R session
- Import different types of data files into RStudio
- Connect and read/write from and to relational databases with RStudio
- Select, filter, join groups of observations, split, and combine data with RStudio
- How to clean and transform messy data
- Handle missing data within RStudio
- Create interactive HTML widgets with 1 line of code
Requirements:
- Some programming concepts are required for advanced modules in this course
In Getting Started With Rstudio, you will learn everything you need to know to get started with RStudio IDE, how to install RStudio onto your Windows, MAC or Linux machine, how to use RStudio Cloud, a lightweight, cloud-based version of RStudio, how to start creating R projects, install and load R packages, as well as display interactive maps, graphs and tables with 1 line of code.
Our Promise to You
By the end of this course, you will have learned how to get started with the RStudio programming language.
10 Day Money Back Guarantee. If you are unsatisfied for any reason, simply contact us and we’ll give you a full refund. No questions asked.
Get started today!
Course Curriculum
| Section 1 - Getting Started With RStudio | |||
| Introduction To The Course | 00:00:00 | ||
| Installing RStudio On Your Desktop | 00:00:00 | ||
| How To Use RStudio On The Cloud | 00:00:00 | ||
| Practice Activity 1 For Module 1 | 00:00:00 | ||
| Most Important Features About RStudio | 00:00:00 | ||
| Install And Load R Packages | 00:00:00 | ||
| Create Interactive Graphs, Maps, And Tables With 1 Line Of Code | 00:00:00 | ||
| Practice Activity 2 For Module 1 | 00:00:00 | ||
| Capstone Project For Module 1 | 00:00:00 | ||
| Section 2 - Importing Data Into RStudio | |||
| Importing Rectangular Data In R | 00:00:00 | ||
| Loading Excel Files Into R | 00:00:00 | ||
| Practice Activity 1 For Module 2 | 00:00:00 | ||
| Read Data From Statistical Software Into R | 00:00:00 | ||
| Read-Write Data From And To SQL Databases With RStudio | 00:00:00 | ||
| Practice Activity 2 For Module 2 | 00:00:00 | ||
| Capstone Project For Module 2 | 00:00:00 | ||
| Section 3 - Clean And Transform Data In R | |||
| Select Groups Of Observations And Create New Calculated Fields | 00:00:00 | ||
| Transform Messy To Clean Dataset With Mutate And String Replace | 00:00:00 | ||
| Practice Activity 1 For Module 3 | 00:00:00 | ||
| Handling Missing Values In R | 00:00:00 | ||
| Split And Combine Cells And Columns In R | 00:00:00 | ||
| Join Data From Different Tables | 00:00:00 | ||
| Practice Activity 2 For Module 3 | 00:00:00 | ||
| Transform Messy To Clean Dataset With Pivot And Mutate | 00:00:00 | ||
| Capstone Project For Module 3 | 00:00:00 | ||
| Section 4 - Extra: Cheat Sheets And Resources | |||
| Data Files And Cheat Sheets Downloads | 00:00:00 | ||
About This Course
Who this course is for:
- Beginner R developers curious about using RStudio and R for data analysis
What you’ll learn:
- Install R and RStudio on your desktop, or use the new cloud-based solution that allows anyone to learn R, directly from your browser
- The 10 most important things that 99% of R programmers should know about the RStudio IDE Interface
- How to install and load R packages, from CRAN and Github, into the R session
- Import different types of data files into RStudio
- Connect and read/write from and to relational databases with RStudio
- Select, filter, join groups of observations, split, and combine data with RStudio
- How to clean and transform messy data
- Handle missing data within RStudio
- Create interactive HTML widgets with 1 line of code
Requirements:
- Some programming concepts are required for advanced modules in this course
In Getting Started With Rstudio, you will learn everything you need to know to get started with RStudio IDE, how to install RStudio onto your Windows, MAC or Linux machine, how to use RStudio Cloud, a lightweight, cloud-based version of RStudio, how to start creating R projects, install and load R packages, as well as display interactive maps, graphs and tables with 1 line of code.
Our Promise to You
By the end of this course, you will have learned how to get started with the RStudio programming language.
10 Day Money Back Guarantee. If you are unsatisfied for any reason, simply contact us and we’ll give you a full refund. No questions asked.
Get started today!
Course Curriculum
| Section 1 - Getting Started With RStudio | |||
| Introduction To The Course | 00:00:00 | ||
| Installing RStudio On Your Desktop | 00:00:00 | ||
| How To Use RStudio On The Cloud | 00:00:00 | ||
| Practice Activity 1 For Module 1 | 00:00:00 | ||
| Most Important Features About RStudio | 00:00:00 | ||
| Install And Load R Packages | 00:00:00 | ||
| Create Interactive Graphs, Maps, And Tables With 1 Line Of Code | 00:00:00 | ||
| Practice Activity 2 For Module 1 | 00:00:00 | ||
| Capstone Project For Module 1 | 00:00:00 | ||
| Section 2 - Importing Data Into RStudio | |||
| Importing Rectangular Data In R | 00:00:00 | ||
| Loading Excel Files Into R | 00:00:00 | ||
| Practice Activity 1 For Module 2 | 00:00:00 | ||
| Read Data From Statistical Software Into R | 00:00:00 | ||
| Read-Write Data From And To SQL Databases With RStudio | 00:00:00 | ||
| Practice Activity 2 For Module 2 | 00:00:00 | ||
| Capstone Project For Module 2 | 00:00:00 | ||
| Section 3 - Clean And Transform Data In R | |||
| Select Groups Of Observations And Create New Calculated Fields | 00:00:00 | ||
| Transform Messy To Clean Dataset With Mutate And String Replace | 00:00:00 | ||
| Practice Activity 1 For Module 3 | 00:00:00 | ||
| Handling Missing Values In R | 00:00:00 | ||
| Split And Combine Cells And Columns In R | 00:00:00 | ||
| Join Data From Different Tables | 00:00:00 | ||
| Practice Activity 2 For Module 3 | 00:00:00 | ||
| Transform Messy To Clean Dataset With Pivot And Mutate | 00:00:00 | ||
| Capstone Project For Module 3 | 00:00:00 | ||
| Section 4 - Extra: Cheat Sheets And Resources | |||
| Data Files And Cheat Sheets Downloads | 00:00:00 | ||
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