Course
Data Manipulation in Julia
BasicSkill Level
Updated 05/2024
JuliaData Manipulation4 hr15 videos55 Exercises4,650 XPStatement of Accomplishment
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Prerequisites
Introduction to JuliaIntermediate Julia1
Inspecting DataFrames
Take your first steps toward complex data manipulation in Julia! Learn how to personalize your experience with the DataFrames package and how to create data visualizations using the Plots package.
2
Working with columns
Columns are the basic building blocks of DataFrames. Knowing how to handle columns is essential for your data manipulation journey. You'll learn how to reorder and drop columns, as well as how to apply functions to individual rows and whole columns.
3
Aggregating DataFrames
In this chapter, you'll learn how to group data and calculate grouped summary statistics, as well as how to create pivot tables. You'll also learn how to improve the readability of your code with the Chain.jl package.
4
Improving Your Workflow
Learn how to load and join datasets, as well as how to handle missing values. Then it's time to fit everything together!
Data Manipulation in Julia
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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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