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Overview
Syllabus
Chapter 01: Motivation
Chapter 02: Install Julia
Chapter 03: Hello, World!
Chapter 04: Terminal
Chapter 05: Install VS Code
Chapter 06: Julia + VS Code
Chapter 07: Basic Math
Chapter 08: Boolean
Chapter 09: Variables
Chapter 10: Data Types | Numbers
Chapter 11: Data Types | Char & String
Chapter 12: Data Types | Data Structures | Arrays
Chapter 13: Data Types | Data Structures | Tuple
Chapter 14: Data Types | Data Structures | NamedTuple
Chapter 15: Data Types | Data Structures | Dictionary
Chapter 16: Data Types | Data Structures | struct
Chapter 17: Control Flow | if
Chapter 18: Control Flow | Ternary
Chapter 19: Control Flow | while
Chapter 20: Control Flow | for
Chapter 21: Control Flow | for in
Chapter 22: Comprehension
Chapter 23: Functions | Function
Chapter 24: Functions | Multiple Dispatch
Chapter 25: Functions | Anonymous Function
Chapter 26: Standard Library
Chapter 27: Packages
Chapter 28: Pluto
Chapter 29: Update Julia
Chapter 30: Help
Chapter 31: Graduation
Taught by
doggo dot jl
Reviews
5.0 rating, based on 2 Class Central reviews
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The Julia course is an excellent choice for absolute beginners who want to learn the language from scratch. It starts with the fundamentals and gradually introduces more advanced concepts in a simple, well-structured manner. The explanations are clear, practical, and easy to follow, making it ideal even for learners with no prior programming experience. The hands-on exercises and real-world examples help reinforce understanding and build confidence. By the end of the course, learners gain a solid foundation in Julia and are well-prepared to explore data science, scientific computing, machine learning, and other advanced applications using the language.
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A very well-structured course for learning Julia from the ground up. The instructor explains both the syntax and the underlying programming concepts clearly. The practical examples make it easy to follow along and gain hands-on experience. After completing the course, I feel much more comfortable using Julia for scientific computing and data analysis tasks. Highly recommended for beginners and researchers alike.