[Free] Getting Started With Julia
A Primer to Data Science – Free Course
What you’ll learn
- Julia programming language
- Data Analysis Basics
- Visualisation Basics
Requirements
- Should be familiar with any programming language, it would be better if Python is known to understand the comparison.
- A basic laptop or desktop, where you can do hands-on
Description
Why learn Julia?
If you are a Python programmer and want to be a ‘Data Scientist’, though Python is easy to use, the performance is very slow. And you cannot compromise on performance, while working on huge volume of data. So we need a language which is easy to work like Python and can provide performance like C. Julia is the answer to both the questions. So you have landed at the right platform to take a baby step towards high performance programming and scientific computing.
This course mainly focus on how to get started with Julia and cover an introduction to data analysis and visualisation.
1. This course is a compact version of Julia programming language with all the details to start.
2. We have very less theories and more action.
3. Simple explanations are given for different constructs.
4. The lectures are created in step by step fashion and in short format.
5. All the code are available on GitHub.
7. This course is also compiled, keeping in mind that any naive user who are eager to learn Julia as a computing language.
We are going to cover following topics in this course.
Introduction to Julia and its installation
Getting started with Jupiter notebook
Julia basic constructs like number, variable, strings
Julia data structures like arrays, tuples, set, dictionary
Control structures in Julia
Functions and Packages in Julia
Vector and matrix operations
File Handling
Interfacing with Python
Data frame and data analysis
And plotting different visualisation
Join me in this journey!
Author(s): Jayant Parida
