R for Data Science
|
Master the essentials of R for Data Science. Learn how to manipulate data, visualize insights, and apply statistical methods to solve real-world problems. This course is perfect for those looking to advance their skills in data analysis and data science with R.
At a Glance
R is a powerful language for data analysis, data visualization, machine learning, statistics. Originally developed for statistical programming, it is now one of the most popular languages in data science. In this course, you’ll be learning about the basics of R, and you’ll end with the confidence to start writing your own R scripts.
Course Syllabus
- Math, Variables, and Strings
- Vectors and Factors
- Vector operations
- Arrays & Matrices
- Lists
- Dataframes
- Conditions and loops
- Functions in R
- Objects and Classes
- Debugging
- Reading CSV and Excel Files
- Reading text files
- Writing and saving data objects to file in R
- String operations in R
- Regular Expressions
- Dates in R
General Information
- This course is self-paced.
- It can be taken at any time.
- It can be audited as many times as you wish.
Recommended skills prior to taking this course
- None
Requirements
- None
User Reviews
Be the first to review “R for Data Science”
Related Products
Potential Outcomes Framework for Causal Inference
Use the Potential Outcomes Framework to estimate what we cannot measure.
Learn Statistics with R
Learn how to implement statistical models and run hypothesis tests in R.
Using R with Databases
Learn how to use R with databases to manage and analyze large datasets. Explore the power of R for database operations, from querying to visualization, and leverage SQL integration for efficient data handling and analysis.
Data Scientist: Inference Specialist
Inference Data Scientists run A/B tests, do root-cause analysis, and conduct experiments. They use Python, SQL, and R to analyze data.
Difference in Differences for Causal Inference
Learn how to use the difference in differences method to estimate effects by analyzing trends over time.
Learn R
Learn how to code and clean and manipulate data for analysis and visualization with the R programming language.
There are no reviews yet.