About this Course

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Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Beginner Level

No prior experience is necessary to successfully complete the course.

Approx. 23 hours to complete
English

What you will learn

  • By successfully completing this course, you will be able to write functions in R.

  • You will be able to analyze and visualize a data set.

  • You will be able to use RMarkdown to share documents in reports with the global R community.

Skills you will gain

  • Programming Principles
  • R Programming
  • Data Analysis
  • Data Visualization (DataViz)
  • basic statistics
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Beginner Level

No prior experience is necessary to successfully complete the course.

Approx. 23 hours to complete
English

Offered by

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University of Colorado Boulder

Start working towards your Master's degree

This course is related to the 100% online Master of Science in Data Science from University of Colorado Boulder. It will provide you with a preview of the topics, materials and instructors so you can decide if the full online degree program is right for you.

Syllabus - What you will learn from this course

Week1
Week 1
7 hours to complete

Introduction to R, RStudio and RMarkdown

7 hours to complete
5 videos (Total 25 min), 6 readings, 3 quizzes
Week2
Week 2
7 hours to complete

Functions

7 hours to complete
10 videos (Total 50 min), 7 readings, 3 quizzes
Week3
Week 3
3 hours to complete

Data Visualization using ggplot2

3 hours to complete
7 videos (Total 32 min), 2 readings, 2 quizzes
Week4
Week 4
6 hours to complete

Data Analysis with dplyr

6 hours to complete
14 videos (Total 79 min), 3 readings, 3 quizzes

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About the Expressway to Data Science: R Programming and Tidyverse Specialization

Expressway to Data Science: R Programming and Tidyverse

Frequently Asked Questions

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