justmarkham/DAT8: General Assembly’s Data Science course in Washington, DC

DAT8 – General Assembly’s Data Science course in Washington, DC

DAT8 Course Repository

Course materials for General Assembly’s Data Science course in Washington, DC (8/18/15 – 10/29/15).

Instructor: Kevin Markham (Data School blog, email newsletter, YouTube channel)

Tuesday	Thursday
8/18: Introduction to Data Science	8/20: Command Line, Version Control
8/25: Data Reading and Cleaning	8/27: Exploratory Data Analysis
9/1: Visualization	9/3: Machine Learning
9/8: Getting Data	9/10: K-Nearest Neighbors
9/15: Basic Model Evaluation	9/17: Linear Regression
9/22: First Project Presentation	9/24: Logistic Regression
9/29: Advanced Model Evaluation	10/1: Naive Bayes and Text Data
10/6: Natural Language Processing	10/8: Kaggle Competition
10/13: Decision Trees	10/15: Ensembling
10/20: Advanced scikit-learn, Clustering	10/22: Regularization, Regex
10/27: Course Review	10/29: Final Project Presentation

Codecademy’s Python course: Good beginner material, including tons of in-browser exercises.
Dataquest: Uses interactive exercises to teach Python in the context of data science.
Google’s Python Class: Slightly more advanced, including hours of useful lecture videos and downloadable exercises (with solutions).
Introduction to Python: A series of IPython notebooks that do a great job explaining core Python concepts and data structures.
Python for Informatics: A very beginner-oriented book, with associated slides and videos.
A Crash Course in Python for Scientists: Read through the Overview section for a very quick introduction to Python.
Python 2.7 Quick Reference: My beginner-oriented guide that demonstrates Python concepts through short, well-commented examples.
Beginner and intermediate workshop code: Useful for review and reference.
Python Tutor: Allows you to visualize the execution of Python code.