Table of Contents
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 1b. Install Jupyter Notebook on your computer
- Step 2. Choose and learn your editor(s)
- Step 3. Learn command line
- Step 4. Git and GitHub
- Step 4b Git Branching
- 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
- Fork the dsp repo this is covered in the GitHub section
- Clone your forked dsp repo to your local PC
- Run Jupyter on your local and make all changes
- Push all changes to your forked repo on GitHub; 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