Develop your statistical skills in collecting, analyzing, and interpreting data to make better decisions in any industry based on strong statistical techniques.
This data analyst training program is designed for practitioners looking to derive answers from raw data, including "big data" sets, using a comprehensive range of statistical analyses and methods. If you're responsible for organizing and analyzing complex data, regardless of what industry you're in, you will benefit from the data analysis training offered in our online program.
Discover how to:
- Design experiments to select and evaluate data through data collection methods and data mining techniques
- Present statistical analysis in tabular and graphical form
- Communicate results using various data presentation formats to a variety of stakeholders with varying levels of technical skill
- Use SAS and R software for statistical analysis
This certificate program provides you with a solid background in performing statistical data analysis and is not intended to lead into the Master of Applied Statistics degree. To be successful in this program, you need to have completed at least an algebra course and a statistics course at the undergraduate level.
Select 10 or 11 credits from the courses below to complete the certificate program.
Select a minimum of two credits from the following courses.
Admission to the University is not required to earn the Certificate of Completion in Data Analysis. You can register for any course in the certificate program as long as you meet the course prerequisites. Prior CSU coursework can be applied toward this certificate, though transfer courses are not accepted.
When are courses offered?
Courses are offered on a rotating basis or when the Department of Statistics predicts that there will be sufficient demand for them. View the schedule of upcoming online courses.
Frequently asked questions
Have more questions about online statistics courses — how exams work, how you interact with faculty and fellow students, or how long it takes? Contact us or visit the Department of Statistics Frequently Asked Questions.