Intermediate Data Manipulation with dplyr

Advance your data manipulation skills using the dplyr package. This course covers essential dplyr functions for filtering, selecting, mutating, summarizing, and more. By the end, you'll be proficient in creating efficient data pipelines for real-world datasets.

Lessons and practices

Lesson 1: Select and Rename

Tibbles, Select and Rename in Action

Change Dataframe Columns and Rename

Fix the Data Display Bug

Learn Multiple Renaming

Master dplyr Column Operations

Lesson 2: Filter and Slice

Filter and Slice Mastery

Master Filtering Rows

Fix Filter and Slice Errors

Master Filtering and Slicing Data

Master Filtering and Slicing

Lesson 3: Mutate and Relocate

Running Mutate and Relocate Functions

Adjusting Bonus Calculation

Fix Mutate and Relocate Functions

Data Transformation and Positioning

Mutate and Relocate Challenge

Lesson 4: Summarize and Group By

Group and Summarize Data

Group by Salary with dplyr

Fix the Group and Summarize Code

Summarizing Superhero Data

Summarize and Group Employee Data

Lesson 5: Chain and Arrange

Chaining for Data Transformation

Chaining Functions for Data Analysis

Fix dplyr Data Manipulation

Fill in Data Manipulation Steps

Chaining Functions in dplyr

Interested in this course? Learn and practice with Cosmo!

Practice is how you turn knowledge into actual skills.