Schedule

Week 1

Tuesday – 15 January

• course introduction
  • avatar link
• Berkeley Graduate School Admission

Thursday – 17 January

• Class Lab: begin work on Intro to Python for Data Science
• Download and install Anaconda (Python 3.6 version)

Week 2

Tuesday – 22 January

• Team Task: Berkeley Graduate School Admissions
• Lab 0: Getting started with Anaconda

Thursday – 24 January

• Lab 1: Crickets and Babies

Week 3

Tuesday – 29 January

• Due:  Intro to Python for Data Science
• Lab 1: Crickets and More
• Outside of Class: Start Intermediate Python for Data Science

Thursday – 31 January

• Finishing Lab 1: Crickets and More
• Class Lab: Intermediate Python for Data Science

Week 4

Tuesday – 5 February

• Class Lab: Intermediate Python for Data Science

Thursday – 7 February

• Challenge: Human Freedom Index
• Due Intermediate Python for Data Science
• Lab 2 part 1: correlation
• Lab 2 part 2: Titanic
• Outside of Class: Start Statistical Thinking in Python Part One

Week 5

Tuesday – 12 February

• Choropleth Maps
• choropleth.ipynb
• Class Lab:  Statistical Thinking in Python Part One
• Practical Statistics Lab — up to 8500xp.

Thursday – 14 February

Week 6

Tuesday – 19 February

• General Lab Day
• due:  Statistical Thinking in Python Part One Chapter 1

Thursday – 21 February

• General Lab Day

Week 7

Tuesday – 26 February

• UMW lab demo day
• Yoga With Adriene
• Outside of Class: Start pandas Foundations

Thursday – 28 February

• Weather Challenge

Week 8

Tuesday – 5 March

• Spring Break

Thursday – 7 March

• Spring Break

Week 9

Tuesday – 12 March

• Outside of Class: Start pandas Foundations
• due Statistical Thinking in Python Part One Chapter 2
• Weather Challenge
• Start Climate Challenge
• Start Review Python Notebook

Thursday – 14 March

Week 10

no class this week: NVIDIA

Tuesday – 19 March

• Due:  pandas Foundations
• Outside of Class: Start Cleaning Data in Python

Thursday – 21 March

• Climate Challenge

Week 11

Tuesday – 26 March

• UMW Department Grades challenge  1000-1500xp
  • 1000 xp – read data + single plot duplicating what I showed in class
  • 1500 xp – more data manipulation than I showed in class – other plots
  • UMW data
• Climate Challenge  continued
• Outside of Class: Cleaning Data in Python

Thursday – 28 March

• In class lab: Cleaning Data in Python

Week 12

Tuesday – 2 April

• Yoga with Adriene
• Due: Cleaning Data in Python
• Python Notebook: Introduction to Machine Learning (requires Cleaning Data Course)

Thursday – 4 April

• Python Notebook: Introduction to Machine Learning

Week 13

Tuesday – 9 April

• In Class: Start Interactive Data Visualization With Bokeh

Thursday – 11 April

• TBD

Week 14

Tuesday – 16 April

• Due: Start Interactive Data Visualization With Bokeh

Thursday – 18 April

• Notebook: Your Turn

Week 15

Tuesday – 23 April

• Notebook: Your Turn

Thursday – 25 April

• Notebook: Your Turn