Course materials for General Assembly's Data Science course in San Francisco (7/13/16 - 9/21/16)

Fill me out at the end of each class!

(Syllabus last updated on 9/12)

Lead Instructor: Ivan Corneillet

Associate Instructor: George McIntire

Course Producer: Vanessa Ohta

• George: Tuesdays from 6:30PM to 8:30PM at GA.
• Ivan: Variable and per request. (via Slack, phone, ...)

You've all been invited to use Slack for chat during class and the day. Please consider this the primary way to contact other students. George will be on Slack during class and office hours to handle questions.

| Unit Project | Description | Goal | Due | |:---:|:---|:---|:---:|:---: | | 1 | Research Design Write-Up | Create a problem statement, analysis plan, and data dictionary | 7/25 | | 2 | Exploratory Data Analysis | Perform exploratory data analysis using visualizations and statistical analysis | 8/1 | | 3 | Basic Machine Learning Modeling | Transform variables, perform logistic regressions, and predict class probabilities | 8/17 | | 4 | Notebook with Executive Summary | Present your findings in a Jupyter notebook with executive summary, visuals, and recommendations | 8/31 |

| Final Project, Part | Description | Goal | Due | |:---:|:---|:---|:---:|:---:| | 1 | Lightning Presentation | Prepare a one-minute lightning talk that covers 3 potential project topics | 8/8 | | 2 | Experiment Write-Up | Create an outline of your research design approach, including hypothesis, assumptions, goals, and success metrics | 8/15 | | 3 | Exploratory Data Analysis | Confirm your data and create an exploratory data analysis notebook with statistical analysis and visualization | 8/24 | | 4 | Notebook Draft | Detailed technical Jupyter notebook with a summary of your statistical analysis, model, and evaluation metrics | 9/12 | | 5 | Presentation | Detailed presentation deck that relates your data, model, findings, and recommandations to a non-technical audience | 9/19 |