danielchang1985 / dsp

Metis Data Science Bootcamp - Official Prework Repository

Data Science Bootcamp Pre-work Revision 2019

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 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

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4. FAQs

Q: How do I submit pre-work?

• 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

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

Yes

Q: Can I ask for hints for python questions?

Yes