Julia Programming Language – From Zero to Expert

Learn the Next Gen Language for Data Science, Machine Learning and Numerical Computing

Created by: Dr. Mohammad Nauman
Helping YOU learn software engineering, quickly and easily!

What Will I Learn?

• Syntax of Julia (and differences from Python)
• Stength of Julia in terms of data science and machine learning
• DataFrames (equiv. to Pandas) in Julia
• Data science case studies including analysis and clustering
• Machine learning models both traditional and deep
• Create ML models from scratch in a way that helps you make modifications easily
• Generative Adversarial Networks (GANs)
• Excellent support: Get answers within 24 hours!

Requirements

• Basic understanding of programming
• Python would be helpful but not necessary
• Understanding of basic Data Science (reading CSVs etc) would be helpful
• Understanding of basic concepts of Deep Learning (such as classification) would be useful

Target audience

• All level of Data Science practitioners
• All levels of Machine Learning practitioners
• Those aiming to enhance their abilities and skill level in DS and ML
• Developers who want to know how to harness the power of big data