Course
Data Manipulation in Julia
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Prerequisites
Introduction to JuliaIntermediate JuliaInspecting DataFrames
Working with columns
Aggregating DataFrames
Improving Your Workflow
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FAQs
What Julia packages are used for data manipulation in this course?
The course primarily uses the DataFrames package and introduces the Chain.jl package for improving code readability, along with the Plots package for basic data visualization.
Does this course cover handling missing values in Julia DataFrames?
Yes, Chapter 4 teaches you how to handle missing values as part of improving your data manipulation workflow, along with loading and joining datasets.
What prior Julia knowledge do I need for this course?
You should complete Introduction to Julia and Intermediate Julia first. The course builds on DataFrame concepts introduced in those earlier courses.
Will I learn to create pivot tables and grouped summary statistics?
Yes, Chapter 3 covers grouping data, calculating grouped summary statistics, and creating pivot tables using Julia DataFrames. You will also use Chain.jl to keep your code readable.
How long does this course typically take to finish?
The course has 55 exercises across 4 chapters with a median completion time of about 4.5 hours and an average of roughly 5 hours.
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