outline.md

Learn to Code - Python for Data Science

What and How?

• 4 hour intro workshop to python for data science. Heavier on the python, light intro to data science libraries and methods, plenty of exercises and examples
• 4 page Handout
  • Setup instructions (fork this link on kaggle to start, then fork exercise #2, etc..)
  • Data types, variables, operators, assignment, etc..
  • Sequences, collections, and operating on them
  • Jupyter notebook
• Deliver notebook(s) on kaggle for students to fork, 3 notebooks one for each section of the 4 hour workshop
• slide deck

Preparation

• Request Data Science students or folks proficient in python to volunteer as assistants.
• Print out handouts for participants 1-3 days prior to the workshop. We don't need to worry about the printer the morning of the workshop.

Setup

• Be sure to have music going when people show up.
• Have the contents of welcome.md showing on the displays for when people show up. Participants should get on the WiFi and create a Kaggle account before the workshop begins.

Deliverables for attendees:

• 4 page handout
• Jupyter notebooks w/ lesson material, examples, and exercises
• a 3 act play (intro to python, intro to , do some analysis on lemonade.csv)

What is a data scientists?

• someone who knows more stats than the software engineers
• someone who knows more software engineering than the statisticians

3 act play

0. Overview of Data Science (what we're doing today, why we're here) (maybe)

   • Review
   • Activity: Game called conversation with everybody
   • Take 5 minutes to visit with a person close to you
   • collect the data on the podium and present it

1. Intro to python fundamentals w/ lots of examples

   • Lecture
   • Exercise
   • Review

2. Intro to stats and mathy bits with python & libraries

   • just enough numpy and pandas to be dangerous
   • multiple working examples w/ descriptive stats and data manipulation <br> break for lunch

3. Walk through a larger exercise like lemonade.csv

• how does price impact revenue?
• how does temperature impact revenue?
• how does rainfall impact revenue?
• does distributing more flyers tend to occur with more sales?
• logistic regression - If it's 100 degrees and I distribute 100 flyers, what will revenue be?

Intro to Python using Notebooks

• Intro to data types, variables, and operators
• Show assignment, reassignment
• working with sequences and collections
  • indexing
  • slicing
  • iterating
• How to lookup the documentation or "how to do XYZ in python"
• Intro to writing your own functions

Data Sets for the workshop

mpg.csv lemonade.csv

Exercises

• what's the maximum in a collection
• what's the most frequently occurring observation
• what's the least frequently occurring observation?
• what's the average?

Math notation explained in Python

or and union intersection empty_set is a subset of

element is a member of element is not a member of

Actual statistics, yo!

• descriptive statistics of lemonade.csv
• maybe visualization of lemonade.csv?
• hypothesis testing on lemonade.csv
• maybe a regression?

Storyboard and script

Before things officially start

• hang out and visit with people
• Handouts printed and on every seat (backup handouts ready)
• Setup instructions on display (wifi info, goto kaggle, fork this, read this)

Kickoff or transition from Dimitri/introducer

• Introduce material
• Introduce self
• Outline the process for the day, set expectations
  • Part I is lecture, exercise, review
  • Part II is lecture, exercise, review
  • Part III is a small project combining

Slides

• Welcome slide with salient info:
  • wifi network names and password
  • instructions for getting started
• The "about codeup" part should have already been covered
• About your instructor
• Ground rules