Advance Your Skills in R

This comprehensive learning path takes you from R basics to advanced data science applications. You'll start with fundamental data wrangling, visualization, and modeling techniques. Then you'll apply your skills to real-world projects, code challenges, and dive deep into the powerful Tidyverse ecosystem. This path is ideal for aspiring data scientists, analysts, and R enthusiasts looking to master the language and its data science capabilities.

Model and visualize data with R.
Practice and apply R coding skills in real-world contexts.
Create advanced visualizations like charts and maps.

Syllabus

Courses under this program:
Course 1: Complete Guide to R: Wrangling, Visualizing, and Modeling Data
-Taking your R coding skills to the next level by wrangling, visualizing, and modeling data.

Course 2: Complete Your First Project in R
-This course will provide a life-like application R programmers can utilize to enhance their learning along with providing them a project they can add to their coding portfolios.

Course 3: R for Data Science: Analysis and Visualization
-Learn the basics of R, the free, open-source language for data science. Discover how to use R and RStudio for beginner-level data modeling, visualization, and statistical analysis.

Course 4: R Code Challenges: Data Science
-Test your knowledge of R programming in this Code Challenges course.

Course 5: Learning the R Tidyverse
-Learn to integrate the tidyverse into your R workflow and get new tools for importing, filtering, visualizing, and modeling research and statistical data.

Course 6: R Tidyverse Applications
-Get practical experience using R tidyverse principles and its various packages and learn how to load, clean, analyze, and visualize data better.

Course 7: Creating Maps with R
-Learn how to import your data directly from Excel and use it to create both static and interactive maps.

Course 8: Build Advanced Charts in R
-Learn how to create advanced data visualizations in R to tell more effective and compelling stories.