No Degree Data Science

I have a bachelors with honours in Finance Accounting and Management with experiences as external auditor and tax accountant in accounting firms. Inspired by David Venturi's No Degree Data Science Master's, I decided to currate my own curriculum. Reasons being I want to personalize my own journey.

Learning Goals

This repo was not created with an ambition to replace an actual degree. My goals are therefore of the following:

1. Learn the foundational knowledge necessary for Data Science.
2. Learn practical skills demanded by the job market.
3. Build projects.

All with super low to no cost from online resources.

Prerequisites

I built this curriculum using myself an anchor (non-STEM background, b-school graduate, accountant).

Bridging Courses

What is Data Science? (IBM/ Coursera) | repo | certificate | badge

Mathematics

1. Mathematics for Machine Learning: Linear Algebra (Imperial College London/ Coursera) | repo | certificate
2. Mathematics for Machine Learning: Multivariate Calculus (Imperial College London/ Coursera) | repo | certificate
3. Introduction to Probability and Data with R (Duke University/ Coursera) | repo | Textbook: OpenIntro Statistics

Programming

1. Stanford Code in Place
2. CS50: Introduction to Computer Science (Harvard/ EdX) | repo | certificate
3. Programming for Everybody (Getting Started with Python) (University of Michigan/ Coursera) | certificate
4. Python Data Structures (University of Michigan/ Coursera) | certificate
5. Using Python to Access Web Data (University of Michigan/ Coursera) | certificate
6. SQL for Data Science (University of California Davis/ Coursera) | certificate