DATA 101

The overall goal of this class is to engage in curious exploration. Please be patient with yourself and others! Along the way you will learn how to make pretty graphs, some basics of programming in Python, and how to think like a Data Scientist.

Pre-class: Each class day will have content that you should explore before class. I build my lectures, labs, and discussions assuming that you have done the work beforehand. Each day you will submit what you have completed. It does not have to be perfect, but it must show your attempt to engage in the material. (Note: If you leave tabs open, remember to refresh the page!)

Class time & materials:

• Notes — What is Data Science?
• Slides — What is Data Science?
• Notes — Set up your computer (Important that this is done this week)
• Homework — Day 1 (.ipynb)

Download each day's notebook from this page and move it into that Day's folder in your GitHub repo.

Announcements: Start prepping for Day 2 — click on the Day 2 link and complete the pre-class materials.

Pre-class:

• Video: How to be Successful — Walks you through being a successful student in this class, the workflow, submitting homework, etc.
• Notes — Hello World!
• Video: Hello World!

(Note: If you leave tabs open, remember to occasionally refresh the page!)

Class time:

• Go over syllabus and course expectations
• Finish setting up conda
• Slides — Hello World - Our first data science exploration!
• Homework — Day 2 (download .ipynb)

Download each day's notebook from this page and move it into that Day's folder in your GitHub repo.

Homework

• Homework — Day 1 & 2 (Due Sunday 9/6 11:59pm)

Announcements:

Submit Day 1 & Day 2 homework by pushing to your GitHub repo by Sunday 9/6 11:59pm.
Start prepping for Day 3 — click on the Day 3 link and complete the pre-class materials.

Pre-class:

• Python Vocabulary (will help with the quiz)
• Pre-Class Quiz / Survey on canvas

(Note: If you leave tabs open, remember to occasionally refresh the page!)

Class time:

• Data Visualization Presentation - Class Slides
• Homework — Day 3 (download .ipynb)
• Notes to Help with the Homework
• Video to Help with the Homework

Homework

• Homework — Day 3 (Due Sunday 9/13 11:59pm)

Pre-class:

• Numerical vs Categorical Data Introduction
• Do the Day 4 Pre-Class Quiz on Canvas

(Note: If you leave tabs open, remember to occasionally refresh the page!)

Class time:

• Video - Day 4 HW Help
• Notebook Notes - Day 4 HW Help
• Homework — Day 4 (download .ipynb)

Homework

• Homework — Day 4 & 5 (Due Sunday 9/20 11:59pm)