Data Manipulation in Julia

Via DataCamp

DataCamp based on 13 ratings

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Overview

This course is ideal for data analysts and scientists looking to harness Julia's performance capabilities for data manipulation. Learners will explore core Julia syntax, data frames, and libraries such as Data Frames. jl and CSV. jl. The course focuses on data cleaning, transformation, filtering, grouping, and joining operations. Through hands-on coding exercises, participants gain experience working with real-world datasets and learn how to write efficient, readable code for data analysis. No prior Julia experience is required, though some familiarity with...

Syllabus

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.

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.

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.