About this Course

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 experience programming

Approx. 9 hours to complete
English

What you will learn

  • Describe a numerical data set using statistical functions in R

  • Import and manipulate data sets using Tidyverse

  • Determine if populations are different using statistical tests

  • Use statistical tests to describe or explain the relationship between data sets

Skills you will gain

  • Functions
  • R Programming
  • Data Analysis
  • Rstudio
  • Basic Descriptive 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 experience programming

Approx. 9 hours to complete
English

Offered by

Placeholder

Codio

Syllabus - What you will learn from this course

Week1
Week 1
2 hours to complete

Describing a Numerical Data Set

2 hours to complete
4 readings
Week2
Week 2
2 hours to complete

Importing and Describing Mixed Data Sets

2 hours to complete
2 readings
Week3
Week 3
2 hours to complete

Using Statistical Tests to Compare Populations

2 hours to complete
1 reading
Week4
Week 4
2 hours to complete

Using Statistical Tests to Describe Relationships

2 hours to complete
2 readings

Reviews

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About the Data Science and Analysis Tools - from Jupyter to R Markdown Specialization

Data Science and Analysis Tools - from Jupyter to R Markdown

Frequently Asked Questions

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