Learn Data Science in 3 Months

Accelerated Learning Techniques

• Watch videos at 2x or 3x speed using a browser extension
• Handwrite notes as you watch for memory retention
• Immerse yourself in the community

Month 1 - Data Analysis

Week 1 - Learn Python

• Youtube (Freecodecamp) https://www.youtube.com/watch?v=LHBE6Q9XlzI
• Youtube (Data Analysis) https://www.youtube.com/watch?v=GPVsHOlRBBI

Week 2 - Statistics & Probability

• Krish Naik https://www.youtube.com/watch?v=zRUliXuwJCQ&list=PLZoTAELRMXVMhVyr3Ri9IQ-t5QPBtxzJO

Week 3 Data Pre-processing, Data Visualization, Exploratory Data Analysis

• EdX https://www.edx.org/course/introduction-to-computing-for-data-analysis

Week 4 Kaggle Project #1

• Try your best at a competition of your choice from Kaggle.
• Use Kaggle Learn as a helpful guide

Month 2 - Machine Learning

Math of Machine Learning Cheat Sheets

• Statistics
• Probability
• Calculus
• Linear Algebra

Week 1-2 - Algorithms & Machine Learning

• Krish Naik https://www.youtube.com/watch?v=bPrmA1SEN2k&list=PLZoTAELRMXVPBTrWtJkn3wWQxZkmTXGwe

Week 3 - Deep Learning

• Read Part 1 and 2 of DL Book https://www.deeplearningbook.org/
• Intro to Deep Learning https://www.youtube.com/watch?v=VyWAvY2CF9c
• Tensorflow For Deep Learning https://www.youtube.com/watch?v=qFJeN9V1ZsI

Week 4 - Kaggle Project #2

• Try your best at a competition of your choice from Kaggle. Make sure to add great documentation to your github repository! Github is the new resume.

Month 3 - Real-World Tools

Week 1 Databases (SQL + NoSQL)

• Udacity https://www.udacity.com/course/intro-to-relational-databases--ud197
• NoSQL https://www.youtube.com/watch?v=E-1xI85Zog8

Week 2 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 3 Big Data

• Edx https://www.edx.org/course/big-data-analytics-using-spark

Week 4 Kaggle Project #3

• Try your best at a competition of your choice from Kaggle.