Course materials for General Assembly's Data Science course in Washington, DC (2/21/14 - 5/2/15). View student work in the student repository.
Instructors: Sinan Ozdemir and Josiah Davis.
Office hours: 5-7pm on Tuesday and TBD at General Assembly
| Saturday | Topic |
|---|---|
| 2/21: | Introduction / Pandas |
| 2/28: | Git(hub) / Getting Data |
| 3/7: | Numpy / Machine Learning / Model Evaluation Project Milestone: One Page write up about the idea of your project |
| π == τ/2 day | Probability / Logistic Regression |
| 3/21: | Linear Regression Project Milestone: 2-3 minute presentation |
| 3/28: | Data Problem / Clustering and Visualization |
| 4/2 | Naive Bayes / Natural Language Processing Project Milestone:Deadline to change topic |
| 4/11 | Decision Trees / Ensembles Project Milestone: Peer Review |
| 4/18 | PCA / Databases / MapReduce |
| 4/25 | Recommendation Engines |
| 5/2 | Presentations! |
- Install the Anaconda distribution of Python 2.7x.
- Install Git and create a GitHub account.
- Once you receive an email invitation from Slack, join our "DAT6 team" and add your photo!
- Introduction to General Assembly
- Course overview: our philosophy and expectations (slides)
- Data science overview (slides)
- Data Analysis in Python (code)
- Tools: check for proper setup of Anaconda, overview of Slack
- Review your base python (code)