Data Science Specializations Repository

This repository combines the files from different Data Science courses and specializations I've taken so far and will be frequently updated.

NOTE: Although you are more than welcome to use the code posted here as guide, I do encourage you to try your own solutions before using it... At the end of the day, making your own mistakes is the best way to learn.

Udemy - Python for Data Science & Machine Learning Bootcamp

A comprehensive course to learning how to use the power of Python to analyze data, create beautiful visualizations, and use powerful machine learning algorithms.

University of Michigan - Applied Data Science with Python Specialization (Coursera)

I found this specialization a good starting point if you want to learn how to code for data analysis in Python, however, in my opinion, it lacks a bit of theory in order to get a better understanding about the reasons to use one method or another.

List of course repositories

1. Introduction to Data Science in Python
2. [Applied Plotting, Charting & Data Representation in Python (Pending)]
3. [Applied Machine Learning in Python (Pending)]
4. [Applied Text Mining in Python (Pending)]
5. [Applied Social Network Analysis in Python (Pending)]

University of California, San Diego - Data Science MicroMasters (edX)

This specialization will give you a good theory foundations to analyze data science projects, however I would suggest to take the UMichigan specialization first to have better programming skills before getting into deep with this specialization.

List of course repositories

1. Python for Data Science
2. [Statistics and Probability in Data Science using Python (Pending)]
3. [Machine Learning for Data Science (Pending)]
4. [Big Data Analytics Using Spark (Pending)]

MITx - 6.00.1x Introduction to Computer Science and Programming Using Python (edX)

An introduction to computer science as a tool to solve real-world analytical problems using Python 3.5.

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Camilo Cruz, 2018.