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 |
Python Resources
- 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.
Course project
Comparison of machine learning models
Comparison of model evaluation procedures and metrics
Advice for getting better at data science
Additional resources
Source: justmarkham/DAT8: General Assembly’s Data Science course in Washington, DC