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DataCamp

Julia Fundamentals

via DataCamp

Overview

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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.

Syllabus

  • Introduction to Julia
    • Julia is a new programming language designed to be the ideal language for scientific computing, machine learning, and data mining.
  • Intermediate Julia
    • Take your Julia skills to the next level with our intermediate Julia course. Learn about loops, advanced data structures, timing, and more.
  • 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.
  • Introduction to Data Visualization with Julia
    • Master data visualization in Julia. Learn how to make stunning plots while understanding when and how to use them.

Taught by

James Fulton, Anthony Markham, Katerina Zahradova, and Gustavo Vieira Sune

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