Online Course – Google’s Certified Professional Internship in R Programming and Tidyverse, University of Colorado Boulder

Learn R Python for Data Science. Master the fundamentals of data transformation and visualization with R.

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קורס אונליין - התמחות מקצועית מוסמכת בR Programming and Tidyverse של Google

Professional Certificate

Beginners

No prior knowledge required

Time to complete the course

7-day free trial

No unnecessary risks

Skills you will acquire in the course

  • R programming basics
  • The importance of replicable research
  • Using tidyverse to import and organize data
  • Using the ggplot2 library to create visualizations
  • Integrating data from different sources

What you will learn in the course

Courses for which the course is suitable

  • Data Scientist
  • Data Analyst
  • Data software developer
  • R programmer
  • Data visualization expert
  • Data scientist
  • Data Science Project Manager
  • Master’s student in data science

Internship – 3-part course series

R is one of the most popular languages ​​in the world of data science, and it is essential for anyone aspiring to become a data scientist. This internship will teach you how to do data science in R, whether you are a beginner or an experienced programmer.

What will you learn?

  • R programming basics
  • The importance of replicable research
  • Using tidyverse to import and organize data
  • Using the ggplot2 library to create visualizations
  • Integrating data from different sources

By completing the internship, you will be prepared to begin or advance your data science journey using R. This is a prerequisite for students who wish to pursue a master’s degree in data science at CU Boulder.

Hands-on Learning Project

In Expressway to Data Science: R Programming and Tidyverse, you will complete coding exercises and quizzes to develop and improve your ability to code in R and reflect on what you have learned. In the third course, R Programming and Tidyverse Capstone Project, you will complete a semi-supervised capstone project using real-world data to add to your data science portfolio.

The internship logo was created using images of stickers from the RStudio shop. Please visit https://swag.rstudio.com/s/shop .

Details of the courses that make up the specialization

Introduction to R programming and Tidyverse

Course 1

Duration: 23 hours

Rating: 4.3 (41 ratings)

What you’ll learn

  • Write functions in R.
  • Analyze and create visualizations of a data set.
  • Use RMarkdown to share report documents with the global R community.

Skills you will gain

  • Programming principles
  • Data Analytics
  • Create data visualizations
  • R programming
  • Basic statistics

Data analysis with Tidyverse

Course 2

Duration: 17 hours

Rating: 4.0 (10 ratings)

What you’ll learn

  • Identify and describe organized data.
  • Convert an unordered data set to ordered data in R.
  • Analyze data between multiple related data tables.
  • Apply regular expressions to identify patterns in strings.

Skills you will gain

  • Programming principles
  • Data Analytics
  • Data manipulation
  • Regular Expression (REGEX)
  • R programming

Final project in R programming and Tidyverse

Course 3

Duration: 9 hours

What you’ll learn

  • Import, clean, and organize data.
  • Analyze and interpret data using R programming.

Skills you will gain

  • Data Analytics
  • communication
  • Data manipulation
  • Create data visualizations
  • R programming

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