Joanna Bieri

Applied Math Professor

Department of Economics

University of Redlands

Introduction to Data Science
Fall 2025

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

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

Link to our Canvas - for submitting work and checking grades:
Class Canvas

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.



• 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.
  
  
  Link to our GitHub - for getting assignments and version control
  
  
• Daily Assignments - 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 - Wednesday - 9/3 - Click Here
    
    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.
    Notes - What is Data Science?
    Slides - What is Data Science?
    Notes (how to) - Set up your computer (important that this is done this week)
    Remember to pull the class files to your local machine and make a copy in your working directory!

    ANNOUNCEMENTS:

    Start Prepping for Day 2 - click on the Day 2 link and complete the PRE-CLASS materials.

    
    
  • Day 2 - Monday - 9/8 - Click Here
    
    PRE-CLASS:

    Video: How to be Successful This video is to walk you through being a successful student in this class.
    Notes - Hello World!
    Video: Hello World!
    Remember to pull the class files to your local machine and make a copy in your working directory!
    Take the quiz on Canvas!
    
    Video: How to Canvas This video is to walk you through how to take quizzes and submit homework in the class. It answers the questions:
    -- How do I submit a GIT link (Day2)
    -- How do I find my .ipynb to drag and drop onto Homework 1
    ** 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:

    Start Prepping for Day 3 - click on the Day 3 link and complete the PRE-CLASS materials.

    
    
  • Day 3 - Wednesday - 9/10 - Click Here
    
    PRE-CLASS:

    Notes - Data and Visualization
    Video - Data and Visualization
    Remember to pull the class files to your local machine and make a copy in your working directory!
    Take the quiz on Canvas!
    
    

    CLASS TIME:

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

    ANNOUNCEMENTS:

    Remember to hand in Homework on Canvas - Due Friday 11:59pm - drag and drop your .ipynb files for days 1-3
    Start Prepping for Day 4 - click on the Day 4 link and complete the PRE-CLASS materials.

    
    
  • Day 4 - Monday 9/15
    
    PRE-CLASS:

    Notes - Numerical and Categorical Data
    Video - Numerical and Categorical Data
    Remember to pull the class files to your local machine and make a copy in your working directory!
    Take the quiz on Canvas!
    
    
    

    CLASS TIME:

    Slides - Numerical and Categorical Data
    Homework questions
    Extra in class Plots!
    

    ANNOUNCEMENTS:

    Start Prepping for Day 5 - click on the Day 5 link and complete the PRE-CLASS materials.

    
    
  • Day 5 - Wednesday 9/17
    
    PRE-CLASS:

    Notes - Data Wrangling
    Video - Data Wrangling
    Remember to pull the class files to your local machine and make a copy in your working directory!
    Take the quiz on Canvas!
    
    

    CLASS TIME:

    Slides - Data Wrangling
    Homework questions
    In class - Data Wrangling Code Session.
    

    ANNOUNCEMENTS:

    Start Prepping for Day 6 - click on the Day 6 link and complete the PRE-CLASS materials.

    
    
  • Day 6 - Monday - 9/22
    
    PRE-CLASS:

    Notes - Data Wrangling Continued
    Video - Data Wrangling Continued
    
    Take the quiz.
    

    CLASS TIME:

    Slides - Data Wrangling Continued
    Homework questions
    In class - Work on the Exploration Together.
    

    ANNOUNCEMENTS:

    Start Prepping for Day 7 - click on the Day 7 link and complete the PRE-CLASS materials.

    
    
  • Day 7 - Wednesday - 9/24
    
    PRE-CLASS:

    Notes - Data Wrangling Joins and Merges
    Video - Data Wrangling Joins and Merges
    
    Take the quiz.
    

    CLASS TIME:

    Slides - Joins and Merges
    Homework questions
    Start working on the Practice Exam.
    

    ANNOUNCEMENTS:

    Start Prepping for Day 8 - click on the Day 8 link and complete the PRE-CLASS materials.
    
    EXAM 1 is in 1 week!

    
    
  • Day 8 - Wednesday - 10/1
    
    PRE-CLASS:

    Notes - Reading in Data and Data Types - fixing Data Errors
    Video - Reading in Data and Data Types - fixing Data Errors
    
    Take the quiz:
    
    

    CLASS TIME:

    Slides - Reading in Data and Data Types
    Homework questions
    Talk about Exam 1 - Cheat Sheet of Commands
    

    
    
  • Exam 1 - Monday- 10/6
    
    PRE-CLASS:

    - Work on Exam1 - after it becomes available on Canvas
    - This exam is open notes, open computer, etc --- but you cannot use any type of human or AI intervention. This includes asking how to do an entire problem online, asking ChatGPT, or working with friends.
    - The pre-class work on the exam must be COMPLETELY YOUR OWN!
    
    Submit the Exam - First Draft
    Exam 1
    After you submit the exam, you will be able to work in groups on the exam during our class time. You can then go home and work individually on finishing up your best possible work on the exam. Submit your final version of the exam as an additional attempt.

    CLASS TIME:

    Work on Exam 1 in Groups

    ANNOUNCEMENTS:

    Start Prepping for Day 9 - click on the Day 9 link and complete the PRE-CLASS materials.

    
    
  • Day 9 - Wednesday - 10/8
    
    PRE-CLASS:

    Notes - Importing, Re-coding, and Visualizing Data
    Video - Importing, Re-coding, and Visualizing Data
    Take the quiz
    

    CLASS TIME:

    Slides - Importing, Re-coding, and Visualizing Data
    Homework questions
    Talk about the Final Projects
    

    ANNOUNCEMENTS:

    Start Prepping for Day 10 - click on the Day 10 link and complete the PRE-CLASS materials.
    In about two weeks we will have a week on Data Ethics. I would like you to explore some articles online to see what people are saying about ethics in Data Science. We will also talk about this in class. You are welcome to find your own article. Regardless of whether you pick from the links below or find your own make sure to take note of: The Date of Publication, The Author of the Article, The Source/Publisher (who owns the website), and the Purpose - why was the article written or is there possible bias or conflict of interest?
    
    LOTS OF POSSIBLE ARTICLES - DATA ETHICS
    The Ethics of Managing People's Data
    Big data ethics and 10 controversial experiments
    Introduction to Data Ethics
    The Importance of Ethical Data Collection
    Ethics of Artificial Intelligence
    Is Ethical AI even possible
    Dealing with bias in AI
    Who is making sure the AI machines aren't racist?
    Algorithmic Bias in Healthcare
    Health Care Bias Is Dangerous. But So Are ‘Fairness’ Algorithms
    Shedding light on AI bias with real world examples
    Ethics In The Age Of Data: Navigating The Crossroads Of Privacy And Progress
    The Ethics of Data Ownership: Who Owns Your Digital Identity?
    Ethical Research with Indigenous Peoples: Doing Right by Respecting Native Rights
    A Practical Guide to Data Ethics
    The Ethics of Data in the Age of AI: Why Responsible Data Practices Matter — Medium
    AI Ethics in 2025: Balancing Innovation with Responsibility
    OpenAI’s Sora Is Plagued by Sexist, Racist, and Ableist Biases
    Ethically dubious or a creative gift? How artists are grappling with AI in their work
    

    
    
  • Day 10 - Wednesday - 10/15
    
    PRE-CLASS:

    Notes - Effective Visualization and Data Storytelling
    Video - Effective Visualization and Data Storytelling
    
    Take the quiz
    

    CLASS TIME:

    Slides - Effective Visualization and Data Storytelling
    Homework questions
    

    ANNOUNCEMENTS:

    Start Prepping for Day 11 - click on the Day 11 link and complete the PRE-CLASS materials.
    Get your Data Science Ethics Reading Materials!

    
    
  • Day 11 - Monday - 10/20
    
    PRE-CLASS:

    Notes - Getting Data and Simpsons Paradox
    Video - Getting Data and Simpsons Paradox
    
    Take the quiz
    

    CLASS TIME:

    Slides - Getting Data and Simpsons Paradox
    Homework questions
    

    ANNOUNCEMENTS:

    Start Prepping for Day 12 - click on the Day 12 link and complete the PRE-CLASS materials.
    You should be reading your Data Ethics Book!

    
    
  • Day 12 - Wednesday - 10/22
    
    PRE-CLASS:

    Helpful lecture and video for preparing your final project proposal (due 11/3)
    Notes - Doing Data Science
    Video - Doing Data Science
    Day 12 - Webscraping!
    Notes - Web Scraping
    Video - Web Scraping
    
    Take the quiz
    

    CLASS TIME:

    Slides - Web Scraping
    Homework questions
    

    ANNOUNCEMENTS:

    Start Prepping for Day 13 - click on the Day 13 link and complete the PRE-CLASS materials.
    Come to class next week prepared to discuss your ethics reading with your classmates and professor!
    
    
    

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




I catch all the buggies in my code!