How to Become a Data Science or Machine Learning Engineer from Free Resources

I have curated the learning pathway for you to learn Machine Learning and Data Science.

You can follow the Google Classroom paths below:

• Essential Math and Stat
• Data Science
• Computational Mathematics
• SQL
• R & Python
• Big Data [optional]
• Distributed Algorithm & Optimizations [optional]
• Data Collection, Preparation & Hypothesis Tests
• Stochastic Process
• Cognitive Analysis
• Perspective Analysis and Prediction
• Predictive Analysis
• Descriptive Data Analysis
• Categorical Data Analysis & Generalized
• Research Methodology
• Applied Data Analytics
• Machine Learning Methods
• Linear Regression Model
• Image Processing & Analysis
• Deep Learning
• Capstone Projects

Also, you can find my Github repo for many examples for beginner to expert levels here.

Photo by Vanessa Loring