FeaturedUdemy
Introduction to Julia
4.9(131)14k studentsBEGINNEREnglish
Korshub's take
The Korshub Take
This beginner course delivers a practical gateway into Julia, a high-performance language designed for scientific computing, machine learning, and data mining. Combining the speed of C with the ease of Python, it guides learners from fundamental syntax to real-world tabular data analysis.
Who It's For
Data scientists, researchers, and beginners wanting to leverage Julia's speed and statistical capabilities for data analysis and scientific workflows.
Key Takeaways
- Julia Foundations: Explore Julia's unique data types, array processing, and environment design.
- Modular Code & Packages: Write reusable functions and leverage community packages to expand your analysis toolset.
- Multiple Dispatch: Harness Julia's headline paradigm of multiple dispatch for flexible and efficient method execution.
- Data Analysis with DataFrames: Practice manipulating DataFrames to analyze patient records and real-world dataset samples.
About this course
Get Started with Julia Programming
Julia is a new and exciting programming language designed from its foundations to be the ideal language for scientific computing, machine learning, and data mining. This course will give you a running start in your journey with Julia.You’ll start by covering the very basics of Julia, so you can follow along if you have never programmed before. However, by the end of the course, you'll be analyzing DataFrames of patient data and book ratings. If you already know another programming language, we'll help you transfer this knowledge to Julia.
Learn the Basics of Julia Programming
Designed to encompass the speed of C, the general programming ability of Python, and the statistical prowess of R, Julia is simple to learn and very powerful.As you work through this course, you'll learn about the special features of the Julia programming language, including how Julia handles data types.
Get a Thorough Introduction to Julia
You'll learn how to store and process data in arrays, write reusable code in functions, and use other popular packages to borrow other Julia developers' code. You'll learn about Julia's headline feature of multiple dispatch and make use of this feature yourself.By the end of this course, you’ll be familiar with coding in Julia, understanding the basics, including data types and structures, the functions and packages, and how to use DataFrames to work with tabular data.
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