Jane Wall

Dr. Jane Wall came to CU Boulder in 2021 as the Faculty Director of the Data Science Graduate Program. She has an usual combination of business experience and technical skills. After completing an undergraduate degree in Classical Languages and Political Science, she attended graduate school in mathematics, earning two master’s degree from the University of Georgia (mathematics and applied mathematics). She then worked at IBM as a software engineer, a subcontract manager, a software development manager and an account representative. She held management positions in several other software development companies and was a global account manager. Dr. Wall returned to her studies in 2002, earning a masters and Ph.D. in Computational and Applied Mathematics from Rice University in 2006. Her research was in computational neuroscience where she modeled calcium signaling inside a neuron. She taught briefly at University of North Carolina at Asheville where she developed a neuroscience minor, a study abroad program to Greece and Turkey, courses in computational neuroscience and a freshman experience course. Later, at American University, she developed the graduate certificate in data science, the Bachelor of Science in Data Science and was co-developer of the Master of Science in Data Science. She developed and has taught three technical core courses in the data science curriculum – Statistical Programming in R, Data Science and the Data Science Practicum.

Sort options

Data Analysis with Tidyverse (Coursera)

This course continues our gentle introduction to programming in R designed for 3 types of learners. It will be right for you, if: you want to do data analysis but don’t know programming; you know programming but aren’t too familiar with R; you know some R programming but want [...]

Introduction to R Programming and Tidyverse (Coursera)

This course is a gentle introduction to programming in R designed for 3 types of learners. It will be right for you, if: you want to do data analysis but don’t know programming; you know programming but aren’t familiar with R; you know some R programming but want to [...]

Integral Calculus and Numerical Analysis for Data Science (Coursera)

Are you interested in Data Science but lack the math background for it? Has math always been a tough subject that you tend to avoid? This course will provide an intuitive understanding of foundational integral calculus, including integration by parts, area under a curve, and integral computation. It will [...]

Algebra and Differential Calculus for Data Science (Coursera)

Are you interested in Data Science but lack the math background for it? Has math always been a tough subject that you tend to avoid? This course will teach you the most fundamental Calculus concepts that you will need for a career in Data Science without a ton of [...]

Essential Linear Algebra for Data Science (Coursera)

Are you interested in Data Science but lack the math background for it? Has math always been a tough subject that you tend to avoid? This course will teach you the most fundamental Linear Algebra that you will need for a career in Data Science without a ton of [...]

R Programming and Tidyverse Capstone Project (Coursera)

In this third and final course of the "Expressway to Data Science: R Programming and Tidyverse" specialization you will reinforce and display your R and tidyverse skills by completing an analysis of COVID-19 data! Here is a chance to apply your skills to a real-world dataset that has effected [...]

Data Science as a Field (Coursera)

This course provides a general introduction to the field of Data Science. It has been designed for aspiring data scientists, content experts who work with data scientists, or anyone interested in learning about what Data Science is and what it’s used for. Weekly topics include an overview of the [...]