I took this intro to statistics course as a sophomore in my chemical engineering program. This course is essentially this Udacity course, but with a chemical engineering flair. Officially called "Analysis of Process Data", the course description is as follows (chemical engineering things italicized):
Statistical methods for analyzing and interpreting process data are discussed, with special emphasis on techniques for continuous improvement of process operations. Topics include:
- Graphical and numerical summaries
- Principles of valid inference
- Probability distributions for discrete and continuous data
- An introduction to linear regression analysis
- Role of data in assessing process operation
- Identifying major problems
- Process capability
- Comparing process performance to target values
- Comparing performances of two processes
- Control charts
How Is It Useful?
Statistics is one of the pillars of data science. Check out this Quora page for a great answer to the question "How do data scientists use statistics?"