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Introduction to Data Science I

Program(s): Undergraduate Courses

*Taught online*   Data science provides tools for gaining insight into specific problems using data, through computation, statistics and visualization. This course introduces students to all aspects of a data analysis process, from posing questions, designing data collection strategies, management+storing and processing of data, exploratory tools and visualization, statistical inference, prediction, interpretation and communication of results. Simple techniques for data analysis are used to illustrate both effective and fallacious uses of data science tools. Although this course is designed to be at the level of mathematical sciences courses in the Core, with little background required, we expect the students to develop computational skills that will allow them to analyze data. Computation will be done using Python and Jupyter Notebook.

Remote or Residential

✓ Remote Course

 

Course Considerations

Course is cross listed as STAT 11800.

Course Overview

Start Date

August 26

End Date

September 13

Current Grade / Education Level

Undergrad / Grad

Program

Undergraduate Courses

Class Details

Course Code

DATA 11800 97

Class Day(s)

Mon Tues Wed Thurs Fri

Class Duration (CST)

9:30

12:15 P.M.

Session

Sept Term

Course Length

3 weeks

Primary Instructor

David Biron

Academic Interest

Physical Sciences (e.g., astronomy, physics)