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.
Overview
Syllabus
- 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
