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Data Manipulation in Julia

Master the essential skills of data manipulation in Julia. Learn how to inspect, transform, group, and visualize DataFrames using real-world datasets.

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4 hours15 videos55 exercises

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Course Description

Julia is a new and exciting programming language designed for machine learning, scientific computing, and data mining. This course will provide you with the knowledge necessary for starting your own data manipulation journey in Julia. We'll build on your knowledge of DataFrames from the Introduction to Julia and Intermediate Julia courses. By the end of the course, you'll be equipped with core skills for inspecting, transforming, grouping, visualizing DataFrames, and many more.
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In the following Tracks

Julia Fundamentals

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  1. 1

    Inspecting DataFrames

    Free

    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.

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    Diving into DataFrames
    50 xp
    Symbols vs. Strings
    100 xp
    Describe it to me
    100 xp
    Missing anything?
    50 xp
    Selecting columns
    50 xp
    Column selection
    100 xp
    Selecting patterns
    100 xp
    Regular penguins
    100 xp
    Exploring Data with Visualizations
    50 xp
    Flipper distribution
    100 xp
    Rating vs. cocoa percentages
    100 xp
    Plotting minimum wages over time
    100 xp
  2. 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.

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In the following Tracks

Julia Fundamentals

Go To Track

datasets

FlightsChocolatesUS_minimum_wagesAirportsAirlines

collaborators

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Izzy Weber
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Arne Warnke
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Katerina Zahradova
Katerina Zahradova HeadshotKaterina Zahradova

Content Developer

Kat is working as a Content Developer for DataCamp. She holds a Ph.D. in Mathematics with years of experience teaching mathematics, programming (Python and Julia), and designing educational material.
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