Upcoming Deadlines


Homework 11: Histograms, Quartiles and Box Plots (m2-05)
  • Due: September 19, 2021

Lab: Simpson's Paradox
  • Due: September 20, 2021
Simpson's Paradox

lab_simpsons_paradox: Simpson's Paradox

September 14, 2021
Week 4: DataFrame Conditionals and EDA

Week 4: DataFrame Conditionals and EDA

This week you will learn about ways data scientists describe and summarize large datasets with single values (descriptive statistics), how we form complex groups of data with Python, and begin to dive into Wade’s favorite topic (data visualizations):

  1. Descriptive Statistics
  2. Grouping Data in Python
  3. Histograms
  4. Quartiles and Box Plots

In addition, you’ll complete HW9, HW10, and HW11 and continue learning to work with DataFrames in lab_simpsons_paradox! :)

September 13, 2021
Week 3: DataFrame Conditionals and EDA

Week 3: DataFrame Conditionals and EDA

In this shorted week (no lecture/homework on Monday in observance of Labor Day), you will explore using conditionals with DataFrames and begin to learn about exploring dataset through Exploratory Data Analysis (EDA):

  1. DataFrames with Conditionals
  2. Software Version Control with git
  3. Exploratory Data Analysis Overview

In addition, you’ll complete HW7 and HW8 and continue learning to work with DataFrames in lab_exp_design! :)

September 6, 2021
Experimental Design

lab_exp_design: Experimental Design

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!

August 30, 2021
Week 2: Working with Pandas + Observation Studies

Week 2: Working with Pandas + Observation Studies

This week, explore how to select a subset of rows from a DataFrame and observational studies:

  1. Row Selection with DataFrames
  2. Observational Studies, Confounders, and Stratification
  3. Simpson’s Paradox

In addition, there is a quick, mastery-based homework for every lecture and you’ll begin to work with DataFrames in Python in lab_pandas! :)

August 29, 2021
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!

August 23, 2021
Week 1: The Beginning

Week 1: The Beginning

We (Wade and Karle) sent out an e-mail Monday morning, make sure to view that for important links to the course discord, and more!

This week, explore the basics of data science through four lectures:

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

Make sure to complete the homework assignments for each and attend your lab section to get hands-on experience and for getting your computer set up to be do data science! :)

August 22, 2021
Welcome to Data Science Discovery!

Welcome to Data Science Discovery!

Welcome! :)

Lecture and Labs both start Week 1! We will post the Week 1 Lecture videos on our course website by 10am on Monday. Talk to you soon! :)

August 19, 2021