Metis Data Science Bootcamp Pre-work
1. Computer Requirements
2. Overview
3. Pre-work Exercises
4. FAQs
Review the computer requirements on hardware needed for the bootcamp.
What can I do to get ready before the bootcamp starts?
Completing the pre-work is essential to obtaining the foundational knowledge necessary to succeed in the Metis data science bootcamp. Each student should expect to spend 60+ hours of tutorials to become familiar with software installation, editors, command line, Python (numpy, pandas, etc.), linear algebra and statistics.
All exercises must be completed before the first day of class.
Step 0. Getting Started
Step 0a. Markdown
Step 0b. Fork GitHub Repo
Step 1. Installation
Step 1a. Install software on your computer
Step 2. Choose and learn your editor(s)
Step 3. Learn command line
Step 4. Git and GitHub
Step 5. Python
Step 5a. Learn Python
Step 5b. Advanced Python
Step 5c. Python Pandas
Step 6. Linear Algebra
Step 7. Statistics
Step 8. More Resources
- Sections 0 to 4
- Make all changes to your forked repo; this is considered your pre-work submission. (No need to submit pull requests to the thisismetis/dsp repo.)
- Python
- use your forked repo for scratch work only
- Statistics
- Make all changes to your forked repo
Yes
Yes