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.

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Data Science as a Field (Coursera) Coursera
University of Colorado Boulder

Data Science as a Field (Coursera)

Embark on an enlightening journey into the world of Data Science with this comprehensive online course offered by Coursera. Designed for beginners and professionals alike, this course provides an overview of what Data Science entails, the essential skills required, and how to navigate the process effectively. Gain insights from CU Boulder's Master’s of Science in Data Science program, crafted by both academics and industry leaders.

Jun 8th 2026
4 Weeks
Integral Calculus and Numerical Analysis for Data Science (Coursera) Coursera
University of Colorado Boulder

Integral Calculus and Numerical Analysis for Data Science (Coursera)

Unlock the power of math with our course on Integral Calculus and Numerical Analysis for Data Science. Perfect for those new to data science or those who've struggled with math in the past, this course provides a clear and intuitive approach to essential calculus concepts and numerical methods crucial for data analysis. Learn integration by parts, area under curves, root-finding algorithms, matrix decomposition, and partial derivatives.

Jun 8th 2026
4 Weeks
Introduction to R Programming and Tidyverse (Coursera) Coursera
University of Colorado Boulder

Introduction to R Programming and Tidyverse (Coursera)

Embark on an introductory journey into the world of R programming and the versatile tidyverse ecosystem with this beginner-friendly online course. Designed for those new to data analysis, programmers unfamiliar with R, or individuals looking to enhance their existing R skills, this course provides a solid foundation in coding practices specific to R. You'll learn essential data visualization techniques, conduct analyses using tidyverse functions, and leverage RMarkdown for creating dynamic and reproducible reports.

Jun 8th 2026
4 Weeks
Data Analysis with Tidyverse (Coursera) Coursera
University of Colorado Boulder

Data Analysis with Tidyverse (Coursera)

Embark on a journey into the world of data analysis with 'Data Analysis with Tidyverse'. This beginner-friendly course introduces you to R programming through the user-friendly tidyverse package suite. Whether you're new to programming or an intermediate R user looking to refine your skills, this course will equip you with essential tools for data manipulation, visualization, and analysis.

Jun 8th 2026
5-12 Weeks
R Programming and Tidyverse Capstone Project (Coursera) Coursera
University of Colorado Boulder

R Programming and Tidyverse Capstone Project (Coursera)

In this final course of the 'Expressway to Data Science: R Programming and Tidyverse' specialization, you will apply your skills in R and the tidyverse by conducting an analysis on COVID-19 data. This practical application allows you to demonstrate your proficiency with real-world datasets that have impacted global health.

Jun 1st 2026
3 Weeks
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