UW Advance Data Analytics and Informatics

View Program Brochure

The UW Advance virtual program provides a three-week opportunity for undergraduate students to get a glimpse into the academic programs at UW-Madison. During this time, you will

  • Learn topics in Data Analytics and Informatics by experienced and well-qualified faculty and teaching staff
  • Particpate in workshops applicable to any major under the theme of Data Science and its impact on society
  • Engage in English courses and refine your skills and build confidence through presentations, debate, discussions, and analysis
  • Receive direct instruction and feedback on your English writing
  • Connect with current UW-Madison Students
  • Explore UW-Madison through virtual campus tours
  • Interact with peers in virtual social and cultural activities

Included in the program:

  • Orientation and opening ceremony
  • Final project presentation
  • Closing ceremony
  • Certificate of participation

Dates: July 12-30, 2021

Cost: $780

Registration Deadline: June 28, 2021

Sample Schedule


Prediction Modeling


  • Linear Regression
  • Logistic Regression


  • Random Forest

Example with Random Forest

Lectured by Alex Binder

Big Data in Mathematics and Climate Science

  1. Observational Data in Climate Science
  2. Data Decomposition
  3. Non-Gaussian and Chaotic Features of Nature
  4. Data Assimilation
  5. Prediction

Lectured by Professor Nan Chen

Big Data Ethics

  1. What is Ethics? Ruist Ethics and Basic to all Ethics
  2. Big Data and Ethics
    • Who collects Big Data and what gets collected?
  3. Could the Data Hurt You?
    • What happens to Big Data after collection?
  4. Privacy, Bias and Unfairness

Lectured by Dorothea Salo

Machine Learning and Data Science

  1. Machine Learning
  2. Machine Learning Pipeline
  3. Hinge Loss
  4. Generalization
  5. Good Feature Representation
  6. Principal Component Analysis
  7. Cross Validation

Lectured by Professor Robert Nowak


A Case Study: Building a Genomic Search Engine

  1. What is atSNP?
  2. Constraints
  3. Feasibility Candidates
  4. Infrastructure for initial feasibility testing
  5. Results of final infrastructure
  6. Key Contributions

Presented by Christopher Harrison


Sample Certificate


Sample Recommendation Letter


“There are so many activities after classes in this program that encouraged me to be more active and take initiative instead of being silent. This helped me to know more and learn more and also make more friends!”

Qingjie (Jenny) You, student from UW Advance Big Data Program


UW Advance Data Analytics and Informatics

Registration Form


Click here to proceed to the payment page.

Payment instructions:

  1. Fill out your name and email address in the “Participant Information” section
  2. Select your program and session in the “Class Information” section
  3. Select credit card as your payment method and click “Continue”

Welcome to UW Advance Data Analytics and Informatics!