Learn Data Science in 3 Months

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:

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Week 1 – Learn Python
– EdX https://www.edx.org/course/introduction-python-data-science-2
– Siraj Raval https://www.youtube.com/watch?v=T5pRlIbr6gg&list=PL2-dafEMk2A6QKz1mrk1uIGfHkC1zZ6UU

Week 2 – Statistics & Probability
– KhanAcademy https://www.khanacademy.org/math/statistics-probability

Week 3 – Data Pre-processing, Data Vis, Exploratory Data Analysis
– EdX https://www.edx.org/course/introduction-to-computing-for-data-analysis

Week 4 – Kaggle Project #1

Week 5-6 – Algorithms & Machine Learning
– Columbia https://courses.edx.org/courses/course-v1:ColumbiaX+DS102X+2T2018/course/

Week 7 – Deep Learning
– Part 1 and 2 of DL Book https://www.deeplearningbook.org/
– Siraj Raval https://www.youtube.com/watch?v=vOppzHpvTiQ&list=PL2-dafEMk2A7YdKv4XfKpfbTH5z6rEEj3

Week 8 – Kaggle Project #2

Week 9 – Databases (SQL + NoSQL)
– Udacity https://www.udacity.com/course/intro-to-relational-databases–ud197
– EdX https://www.edx.org/course/introduction-to-nosql-data-solutions-2

Week 10 – Hadoop & Map Reduce + Spark
– Udacity https://www.udacity.com/course/intro-to-hadoop-and-mapreduce–ud617
– Spark Workshop https://stanford.edu/~rezab/sparkclass/slides/itas_workshop.pdf

Week 11 – Data Storytelling
– Edx https://www.edx.org/course/analytics-storytelling-impact-1

Week 12- Kaggle Project #3

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