Welcome to GA's Part-Time Data Science Course ! We are building a global community of lifelong learners who are excited about using data to solve real world problems.
In this 10 week part-time course, students will use Python to explore datasets, build predictive models, and communicate data driven insights. Specifically, students will:
- Learn the language of data scientists to contribute as a part of a greater team.
- Perform exploratory data analysis with powerful programmatic tools, python, and the command line.
- Build and refine basic machine learning models to predict patterns from data sets.
- Communicate data driven insights to a non-technical audience through visual storytelling.
General Assembly's Data Science course is made up of 20 lessons that are 3 hours each. This course is split into 3 units.
| Unit | Title | Lessons Provided | Flex Session |
|---|---|---|---|
| Unit 1 | Research Design & Data Analysis | Lessons 1 - 4 | Lesson 5 |
| Unit 2 | Foundations of Modeling | Lessons 6 - 10 | Lesson 11 |
| Unit 3 | Data Science in the Real World | Lessons 12 - 18 | Lesson 19 |
| Class | Title | Class | Title | |
|---|---|---|---|---|
| Lesson 1 | What is Data Science | Lesson 11 | Clustering | |
| Lesson 2 | Research Design & Pandas | Lesson 12 | Decision Trees / Random Forest | |
| Lesson 3 | Statistics Fundamentals pt. 1 | Lesson 13 | NLP with Classification | |
| Lesson 4 | Statistics Fundamentals pt. 2 | Lesson 14 | Dimensionality Reduction | |
| Lesson 5 | *Tool Review / Flex Session | Lesson 15 | Time Series Data | |
| Lesson 6 | Intro to Linear Regression | Lesson 16 | Modeling Time Series Data | |
| Lesson 7 | Evaluating Model Fit | Lesson 17 | Data Science Databases | |
| Lesson 8 | Intro to Classification | Lesson 18 | Data Science Careers | |
| Lesson 9 | Intro to Logistic Regression | Lesson 19 | Neural Networks | |
| Lesson 10 | Communicating Model Results | Lesson 20 | Final Project Demo Day |
| Project | Deadline |
|---|---|
| Project 1 | Week 3 |
| Project 2 | Week 4 |
| Project 3 | Week 5 |
| Final Project 1 | Week 6 |
| Project 4 | Week 7 |
| Final Project 2 | Week 8 |
| Final Project 3 | Week 9 |
| Final Project 4 | Week 10 |
Included in this Repository:
- Lessons - Slide decks, datasets, starter & solution code.
- Projects - instructions and materials for both UNIT and FINAL projects, including starter code, rubrics, and datasets.
