Metis Data Science Bootcamp Pre-work

Table of Contents

1. Computer Requirements
2. Overview
3. Pre-work Exercises
4. FAQs

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1. Computer Requirements

Review the computer requirements on hardware needed for the bootcamp.

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2. Overview

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.

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3. Pre-work Exercises

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 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

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4. FAQs

Q: How do I submit pre-work?

• 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

Q: Can I discuss prework with other students in the course?

Yes

Q: Can I ask for hints for python questions?

Yes