/data-science-in-3-months

Primary LanguageJupyter Notebook

Data Science in 3 Months

This is my repository for the course Learn Data Science in 3 Months by Siraj Raval on Youtube.

Components

  • 3 Projects
  • 1 Weekly assignment. Pick 1 from the course for each week, do it in a weekend.

Course Length

  • 12 Weeks
  • 2-3 Hours of Study per Day

Tools Used

  • Python, SQL, R, Tensorflow, Hadoop, MapReduce, Spark, GitHub,

Month 1 - Data Analysis

Week 1 - Learn Python

Week 2 - Statistics & Probability

Week 3 Data Pre-processing, Data Visualization, Exploratory 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

Week 1-2 - Algorithms & Machine Learning

Week 3 - Deep Learning

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)

Week 2 Hadoop & Map Reduce + Spark

Week 3 Data Storytelling

Week 4 Kaggle Project #3

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