Data Analysis in R with RStudio & Tidyverse
Without installing anything, you can code and execute your first R program in minutes. This course is for those who have never coded before and want to learn the fundamentals of data analysis in R. This course's sections address descriptive statistics, data import and manipulation, and statistical tests for comparing populations and describing connections. This course uses the industry-standard Integrated Development Environment (IDE) RStudio to deliver examples in R.
This course is video-free to allow for a genuinely hands-on, self-paced learning experience. Short explanations with visuals and runnable code examples with recommended adjustments are included in assignments, allowing students to get a better understanding by doing. Along the process, you'll get immediate feedback from a range of assessment tasks, gradually graduating from short comprehension checks (multiple choice, fill in the blank, and un-scrambling code blocks) to tiny, manageable coding projects that take minutes rather than hours. Finally, a cumulative lab at the end of the course will allow you to apply what you've learned in a real-world setting.
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
This course offers:
- Flexible deadlines
- Get a Certificate when you complete
- 100% online
- Course 3 of 4 in the Spécialisation Data Science and Analysis Tools - from Jupyter to R Markdown
- Beginner level
- Approx. 10 hours to complete
- Subtitles: English
Enroll here: https://www.coursera.org/learn/codio-data-analysis-in-r-with-rstudio-and-tidyverse
