Upcoming Deadlines


Homework 5: Simpson’s Paradox (m1-06)
  • Due: January 31, 2022

Lab: Introduction to Data Science
  • Due: January 31, 2022

Lab: Getting Started with Pandas
  • Due: January 31, 2022

Welcome to DISCOVERY!
Week 3: Conditionals and Descriptive Statistics

Week 3: Conditionals and Descriptive Statistics

This week, you will learn how to filter data by the contents of the row using conditionals and learn about a practice called EDA or Exploratory Data Analysis.

Before each class, make sure to watch the pre-lecture videos listed below:

  1. DataFrames with Conditionals – watch before Monday’s Lecture on Jan. 31

  2. Software Version Control with git and Exploratory Data Analysis Overview – watch before Wednesday’s Lecture on Feb. 2

  3. Descriptive Statistics – watch before Friday’s Lecture on Feb. 4

In addition to the prelectures, there is a quick, mastery-based homework for after each lecture and you’ll begin to work with DataFrames conditionals in Python in lab_simpsons_paradox! :) These HW assignments will be released right after each lecture.

Good luck with Week 3!

January 31, 2022
Getting Started with Pandas

lab_pandas: Getting Started with Pandas

The primary Data Science library we will be using this semester is pandas. This lab explores the basic usage of the pandas library and gets you ready for the Data Science challenges we will be beginning next week!

January 26, 2022
Week 2: Working with Pandas + Experimental Design

Week 2: Working with Pandas + Experimental Design

This week, we will explore how to select a subset of rows from a DataFrame and different aspects of experimental design (observational studies, confounders, and Simpson’s Paradox!). Class will meet in person this week Mon/Wed/Fri from 12-12:50pm in Room 100 Noyes! We are so excited to meet you :)

Before each class, make sure to watch the pre-lecture videos listed below:

  1. Row Selection – watch before Monday’s Lecture on 1/24
  2. Observational Studies, Confounders, and Stratifcation – watch before Wednesday’s Lecture on 1/26
  3. Simpson’s Paradox – watch before Friday’s Lecture on 1/28

In addition to the prelectures, there is a quick, mastery-based homework for every lecture and you’ll begin to work with DataFrames in Python in lab_pandas! :) These HW assignments will be released right after each lecture.

Good luck with Week 2!

January 24, 2022
Week 1: The Beginning

Week 1: The Beginning

We (Prof. Wade and Prof. Karle) sent out an e-mail last week and again on Tuesday evening, make sure to view that for important links to the course discord, and more! If you missed them, you can find them as Canvas announcements as well! :)

There will be an introduction to the course held on Zoom during the first meeting of DISCOVERY (Wednesday, Jan. 19). Join us on Zoom at 12:00noon!

In addition to the introduction, you will explore the basics of data science through four micro-lectures:

  1. What is Data Science?
  2. Types of Data
  3. Experimental Design and Blocking
  4. Python for Data Science: Introduction to DataFrames

Finally, there are two small homeworks to complete and lab_intro (all due Monday, Jan 24 by 11:59pm):

We will see you on Zoom on Wednesday – and then IRL this coming Monday for the first lecture of DISCOVERY!

January 19, 2022
Introduction to Data Science

lab_intro: Introduction to Data Science

Data scientists use powerful tools to help learn about data. In this first lab, you will set up your account and computer for Data Science Discovery and begin to play around with your very first Python notebook!

January 18, 2022
Welcome to Data Science Discovery!

Welcome to Data Science Discovery!

Data Science DISCOVERY is an in-person course, except that all UIUC courses will meet online during the first week back.

More details as we get closer to the first day of class. :)

December 20, 2021