The Certificate in Data Analytics focuses on data preparation, data analysis, applied statistics, and data visualization. Students in the program learn to communicate, problem solve and lead around data practices, making them competitive in the St. Louis region. Students are able to complete this certificate online, however, course availability may vary depending on the semester.

This certificate program is designed primarily for individuals wishing to transition to a data analytics career, including people who have little to no background in data, or students who have some background in data but want to enhance or learn data-related skills. Upon completion of the certificate, students should be competitive for entry-level data analytics and data analysis careers.

Business-related programs at CAPS are not accredited by the Association to Advance Collegiate Schools of Business (AACSB International) at Washington University. Most courses are three units.

This program is offered either mostly or fully online.  Students entering the U.S. on an F-1 or J-1 Visa must enroll in a program full time.  F-1 students are only permitted to enroll in one online course per semester and J-1 students may only enroll in non-credit online courses that do not count toward their degree program.  The School of Continuing & Professional Studies (CAPS) cannot guarantee face-to-face enrollment options each semester of full time enrollment, therefore cannot issue an I-20 or DS 2019 to F-1 and J-1 students for this program.  If you are an F-1 or J-1 student and wish to enroll in a CAPS program while here on a Visa, please contact our recruitment team to discuss your options for face-to-face program enrollment.  F-1 and J-1 students should not enroll in online courses or programs without first consulting the university’s Office for International Students and Scholars (OISS).


Units of Required Courses


Units of Elective Requirements

Required Courses – 12 units

  • U71 Data 140 – Data Fundamentals I
  • U71 Data 145 – Data Fundamentals II
  • U20 Math 205 – Applied Statistics
  • Experiential Learning in Data Analytics (TBD)
  • Communicating, Leading, and Problem Solving with Data (TBD)

Elective Requirements – 6 units

Students choose from among the following:

  • U71 DATA 1240 – Introduction to (Statistical) Programming with R
  • U71 DATA 1330 – Programming with Python
  • U71 DATA 206 – Data Analysis and Visualization with Tableau
  • U71 DATA 2115 – SQL and Data: Exploration and Analysis
  • U71 DATA 2240 – Advanced Visualization in R
  • U71 DATA 230 – Introduction to Data Science with Python

Application Requirements

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