Dive into the world of data analysis with our comprehensive learning path specifically designed for R. This course series is aimed at constructing a robust understanding of data analysis, allowing you to interpret, visualize, and communicate data effectively.
108 hands-on practices in our state-of-the art IDE
One-on-one guidance from Cosmo, our AI tutor
Verified skills you'll gain
ADVANCED
Mathematics and Statistics
INTERMEDIATE
Coding and Data Algorithms
ADVANCED
Data Cleaning and Preprocessing
INTERMEDIATE
Data Visualization and Reporting
Tools you'll use
R
tidyverse
Trusted by learners working at top companies
1
4 lessons
15 practices
Data Manipulation in R
Deep dive into data manipulation using dplyr in R. Understand and apply various dplyr functions for selecting, filtering, summarizing, and mutating data.
Explore statistical analysis within R to perform descriptive and inferential statistics, understand probability distributions, and conduct hypothesis testing.
Master the art of cleaning data using tidyr as part of the tidyverse ecosystem. Focus on techniques for dealing with missing values, reshaping data, and preparing datasets for analysis.
Delve into advanced data transformation techniques with R to manage and manipulate complex datasets. Learn to merge datasets, create advanced visualizations, and optimize data processing.
Gain proficiency in hypothesis testing within the R environment. Learn to formulate, execute, and interpret various statistical tests to make data-driven decisions.
Discover the power of data visualization in R using the ggplot2 package. Learn how to craft clear, informative, and appealing visual representations of data.
