Julia for Beginners in Data Science

This guided project is designed for individuals keen on mastering data cleaning and exploratory analysis using Julia for data science. Throughout the course, you will delve into the syntax of Julia from a data science perspective, with a focus on practical application.

Key features of the course include:

• Working with two real-world datasets
• Detailed variable description booklets available in the provided GitHub repository
• Challenges with solutions to encourage practice
• Exploration of real-world applications of each function
• Provision of best practices and tips for efficient use of Julia in data science
• Receiving a copy of the Jupyter notebook created as a handy reference guide

Throughout, you will learn how to clean data, perform exploratory data analysis, and work with different types of joins. The course is suitable for learners based in the North America region, with plans to extend the experience to other regions in the future.

By the end of this course, you will have gained valuable hands-on experience and a solid foundation in using Julia for data cleaning and exploratory analysis.