Teaching
Students can build their Data Science expertise in many courses dedicated to the topic. Here is a list of those already available.
Fall 2021: MA 1900 -04 - The Data Mine I
Instructor: Prof. Yvonne Zubovic
Description
The Data Mine is a supportive environment for students in any major from any background who want to learn some data science skills. This course will provide a foundation for students to think statistically by participating in the entire data analysis cycle. Students will have hands-on experience with computational tools for representing, extracting, manipulating, interpreting, transforming, and visualizing data, especially big data sets, and in effectively communicating insights about data. Topics include: the R environment, visualizing, transforming, modeling, interpreting, and scraping data from the internet, as well as selected advanced topics, as time permits. No prior computational or statistical experience is necessary.
Course Objectives:
Quantitative reasoning is the ability to analyze numerical information and to determine which mathematical concepts, skills, and procedures can be applied to solve real-world problems. The course is designed to assist you in developing skills for collecting, analyzing, and drawing appropriate conclusions from numerical data with the primary objective of improving your quantitative reasoning ability.
By the end of the course, the student who works diligently should be able to:
Discover data science and professional development opportunities to prepare for a career.
Design efficient search strategies to acquire new data science skills.
Devise the most appropriate data science strategy to answer a research question.
Fall 2021: STAT 490-01 - Intro to Stat Computing with R
Instructor: Prof. Dan Yorgov
Description
Coming Soon!
Course Objectives:
Upon completing the work of this course, you should be able to:
Coming Soon!
Fall 2021: MA 598 - Data Analysis
Instructor: Prof. Yvonne Zubovic
Description
Coming Soon!
Course Objectives:
Upon completing the work of this course, you should be able to:
Coming Soon!