Published on October 30, 2018 by

I’ve created a 3 month curriculum to help you go from absolute beginner to proficient in the art of data science! This open source curriculum consists of purely free resources that I’ve compiled from across the Web and has no prerequisites, you don’t even have to have coded before. I’ve designed it for anyone who wants to improve their skills and find paid work ASAP, ether through a full-time position or contract work. You’ll be learning a host of tools like SQL, Python, Hadoop, and even data storytelling, all of which make up the complete data science pipeline.

Curriculum for this video:
https://github.com/llSourcell/Learn_Data_Science_in_3_Months

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Week 1 – Learn Python
– EdX https://www.edx.org/course/introducti…
– Siraj Raval https://www.youtube.com/watch?v=T5pRl…

Week 2 – Statistics & Probability
– KhanAcademy https://www.khanacademy.org/math/stat…

Week 3 – Data Pre-processing, Data Vis, Exploratory Data Analysis
– EdX https://www.edx.org/course/introducti…

Week 4 – Kaggle Project #1

Week 5-6 – Algorithms & Machine Learning
– Columbia https://courses.edx.org/courses/cours…

Week 7 – Deep Learning
– Part 1 and 2 of DL Book https://www.deeplearningbook.org/
– Siraj Raval https://www.youtube.com/watch?v=vOppz…

Week 8 – Kaggle Project #2

Week 9 – Databases (SQL + NoSQL)
– Udacity https://www.udacity.com/course/intro-…
– EdX https://www.edx.org/course/introducti…

Week 10 – Hadoop & Map Reduce + Spark
– Udacity https://www.udacity.com/course/intro-…
– Spark Workshop https://stanford.edu/~rezab/sparkclas…

Week 11 – Data Storytelling
– Edx https://www.edx.org/course/analytics-…

Week 12- Kaggle Project #3

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