Data Science
151 learners
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.
R
Tidyverse
See path
5 lessons
25 practices
2 hours
Badge for Exploratory Data Analysis and Visualization,
Exploratory Data Analysis and Visualization
Lessons and practices
Tibbles, Select and Rename in Action
Change Dataframe Columns and Rename
Fix the Data Display Bug
Learn Multiple Renaming
Master dplyr Column Operations
Filter and Slice Mastery
Master Filtering Rows
Fix Filter and Slice Errors
Master Filtering and Slicing Data
Master Filtering and Slicing
Running Mutate and Relocate Functions
Adjusting Bonus Calculation
Fix Mutate and Relocate Functions
Data Transformation and Positioning
Mutate and Relocate Challenge
Group and Summarize Data
Group by Salary with dplyr
Fix the Group and Summarize Code
Summarizing Superhero Data
Summarize and Group Employee Data
Chaining for Data Transformation
Chaining Functions for Data Analysis
Fix dplyr Data Manipulation
Fill in Data Manipulation Steps
Chaining Functions in dplyr
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