Skip to main content
skill track

Julia Fundamentals

Discover the potential of Julia, a versatile and high-performance programming language! Even without any prior coding experience, nothing is standing between you and grasping the basics of this programming language that combines Python’s ease of code writing and the speed of C! Moreover, this fast-growing language was specifically designed with data science and machine learning in mind, making it an ideal tool for any data-related tasks! Throughout this track, you’ll learn all the basics, like data types, structures, logic flow, and functions. You’ll gain hands-on knowledge of working with DataFrames, applying your newly acquired skills to more advanced things like data manipulation or data visualization. By the end of this track, you’ll have gained the skills and knowledge to tackle various real-world challenges using Julia.

JuliaClock16hrsLearn4 coursesTrophyStatement of Accomplishment

Create Your Free Account

GoogleLinkedInFacebook

or

By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.
GroupTraining 2 or more people?Try DataCamp For Business

Loved by learners at thousands of companies


1
Python
Introduction to Julia

Julia is a new programming language designed to be the ideal language for scientific computing, machine learning, and data mining.

4 hours

James Fulton Headshot

James Fulton

Climate Informatics Researcher

Track statement of accomplishment
Sparkles AI ASSISTANTSign up to use the AI AssistantOur AI assistant is free to use for all registered users. Sign up or login to access the assistant and boost your learning experience.
Discover
For Business

GroupTraining 2 or more people?

Get your team access to the full DataCamp library, with centralized reporting, assignments, projects and more
Try DataCamp for BusinessFor a bespoke solution book a demo.

Instructors

FAQs

Join over 13,890,000 learners and start Julia Fundamentals today!

Create Your Free Account

GoogleLinkedInFacebook

or

By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.