Joanna Bieri

Applied Math Professor

Department of Economics

University of Redlands

Introduction to Data Science
Fall 2026

Office Location:
Duke Hall #209
Phone: 909-748-8630
E-Mail: joanna_bieri@redlands.edu
(Email or Teams are my preferred contact methods)

Data Science Lab:
TBA - this is a space for you to get help on your Data Science 101 homework and code!

Office Hours:
Click here for my schedule.
You can also email me for an appointment!

Class Canvas - for checking grades and taking quizzes


• Important Course Documents
  
  Course Syllabus
  
  Schedule of Topics
  NOTE: as the semester progresses we may change up the schedule a bit to suit our class pace and interests. The most recent schedule will be posted here.
  
  Check out Data Science in a Box - Intro to Data Science - using R.
  Our course follows much of this content and thus is licensed under Creative Commons Attribution-ShareAlike 4.0 International.
  
  
  
  Final Project info coming soon - see the syllabus and schedule above for the current timeline.
  
  Cheat Sheet of Commands 1
  Cheat Sheet of Commands 2
  Video - Common Errors in Python
  
• Daily Assignments - Videos - Reading - Handouts
  
  Each day I will post the lecture videos, homework, reading, and other information. Make sure to check here for each day of class.
  • Day 1 - Tuesday - 9/1 - Computer Setup
    
    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 before class. Each day you will submit what you have completed before class. It does not have to be perfect, but it must show your attempt to engage in the material.
    
    ** If you are one to leave tabs open, remember to occasionally refresh the page!

    CLASS TIME:

    Each class will have daily in class content.
    Computer Setup Notes (how to) - Set up your computer (important that this is done this week)
    Setup not working? Troubleshooting steps
    Issues installing Anaconda? Click here (only if you already installed Anaconda)
    Notes and Slides Notes - What is Data Science?
    Slides - What is Data Science?
    Homework Homework - Day 1 (download .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.

    
    
  • Day 2 - Thursday - 9/3 - Hello World
    
    PRE-CLASS:

    Video: How to be Successful This video is to walk you through being a successful student in this class, the workflow, submitting homework, etc.
    Notes - Hello World!
    Video: Hello World!
    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.
    Take the quiz on Canvas!
    
    ** If you are one to leave tabs open, remember to occasionally refresh the page!

    CLASS TIME:

    Slides - Hello World - Our first data science exploration!
    Time to work on homework
    Get help with technology
    

    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.

    
    
  • Day 3 - Tuesday - 9/8 - Data and Visualization
    
    PRE-CLASS:

    Notes - Data and Visualization
    Video - Data and Visualization
    Homework - Day 3 (download .ipynb)
    Download each day's notebook from this page and move it into that Day's folder in your GitHub repo.
    Take the quiz on Canvas!
    
    

    CLASS TIME:

    Slides - Data and Visualization
    Homework questions
    Extra in class Plots!
    Get help with technology
    Colors
    Markers

    ANNOUNCEMENTS:

    Submit Day 3 & Day 4 homework by pushing to your GitHub repo by Sunday 9/13 11:59pm.
    Start Prepping for Day 4 - click on the Day 4 link and complete the PRE-CLASS materials.

    
    
  • Day 4 - Thursday - 9/10 - Numerical vs Categorical Data
    
    PRE-CLASS:

    Notes - Numerical and Categorical Data
    Video - Numerical and Categorical Data
    Homework - Day 4 (download .ipynb)
    Download each day's notebook from this page and move it into that Day's folder in your GitHub repo.
    Take the quiz on Canvas!
    
    

    CLASS TIME:

    Slides - Numerical and Categorical Data
    Homework questions
    Extra in class Plots!
    Get help with technology
    

    ANNOUNCEMENTS:

    Submit Day 3 & Day 4 homework by pushing to your GitHub repo by Sunday 9/13 11:59pm.
    Start Prepping for Day 5 - click on the Day 5 link and complete the PRE-CLASS materials.

    
    
• Homework Solutions - Exam Review
  
  All Practice Problems and Programming Assignment solutions are available on Canvas
  
  




I catch all the buggies in my code!