Certificate in Data Analytics

This hybrid certificate program introduces participants to universal data analysis techniques, tools, and processes needed to facilitate cross-functional and informed decision-making. Participants will learn to ensure data quality and integrity, produce descriptive statistics, visualize data, and conduct predictive and inferential analyses.

In addition to the 15-hour online portion of this program, participants will learn to utilize Microsoft Excel to clean, create, visualize, and analyze data in a live classroom environment. Throughout the program, participants will be presented with the opportunity to complete a comprehensive capstone project to integrate and apply data analysis competencies learned in class.


  • Evaluate the usefulness of different statistical techniques and their real-world application
  • Learn to use predictive and inferential tools to improve decision-making
  • Identify methods for ensuring data quality and their impact on decision-making
  • Describe various forecasting techniques and their benefits and limitations
  • Identify the fundamental concepts of descriptive statistics (populations and samples, measures of central tendency, measures of variability, measures of distribution), and their real-world application
  • Explain data management techniques including transforming data, recoding data, and handling missing data

This course is designed for learners interested in real-world tools and techniques to capture meaningful data and transform it into valuable information for their organizations. This is especially suited for managers, decision-makers, and professionals taking on data analysis or business intelligence roles in their organization.

Note: PEWD program participants should be 18 years or older.

This program requires a basic understanding of Microsoft Excel.

Dr. Eduardo Millet

Dr. Eduardo Millet is passionate about strategy, innovation, new venture creation, and social entrepreneurship. He has taught at The State University of New York at New Paltz, Southeast Missouri State University, and The University of Texas Rio Grande Valley. Dr. Millet obtained a PhD in Business Administration at the University of Texas Rio Grande Valley, and holds a master’s in Urban and Regional Planning and a B.A in Economics from the University of Minnesota. Dr. Millet has a balanced background of industry and academic experience. He worked at the McAllen Chamber of Commerce where he developed an innovative approach to entrepreneurial development. Originally from Mexico, Dr. Millet moved to McAllen, Texas, where he served as the Director of Institutional Development for the State Government of Yucatan during five years, and as Director of Business Intelligence for a nationwide telecommunications company for three years.

Note: If you are applying for the Continuing Education Private Loan to cover the registration fee for a non-credit continuing education program, then please use the UTRGV Continuing Education School Code: 003599. The loan amount you note in the application cannot exceed the open enrollment fee noted on our website. Books will NOT be included in the loan amount. The minimum for the loans must be $500.00. Some service charges may apply.

*The only loan provider PEWD accepts is Sallie Mae*

Please email pewd@utrgv.edu once you have been approved so we may certify your loan.

Private Loans



The Data Analytics course through UTRGV Continuing Ed. came at a perfect time. Post Covid I was working with millions of lines of data at Workforce Solutions due to record breaking Unemployment Insurance claims. Professor Millet taught me much easier methods to sort through large quantities of data that made the work I was doing at the time much easier and much more efficient. The format of the class worked out great with my work schedule. I continue to use the tools I learned in my new position as Performance Analyst at Workforce Solutions.

- Aaron Gonzalez, Performance Analyst

Session Details:

In this introduction session, we will discuss the significance of data analytics in making informed decisions, review course learning objectives, and explore the capstone/case study exercise.

In this session, you will learn to utilize key Microsoft Excel tools used for data collection and cleansing. Participants will learn how to clean databases and conduct meaningful sorting and filtering to facilitate informed decision-making.

Learning Outcomes:
• Explain the types of decisions that can be made analytically in an organizational setting
• Describe different decision-making models and tools
• Describe methods of ensuring the quality of data
• Explain data management techniques including transforming data, recoding data, and handling missing data

In this session, you will learn how to use Pivot Tables and Charts to visualize and present data for decision-making. Participants will learn how to use Microsoft Excel to conduct descriptive statistics to summarize data and create histograms for frequency analysis.

Learning Outcomes:
• Describe how statistics are used in different settings
• Identify the fundamental concepts of descriptive statistics and their real-world applications
• Apply fundamental statistics to a real-world situation
• Use statistics to identify the most appropriate decision alternative

In this session, you will learn how to use Microsoft Excel tools to conduct forecasts for predictive analysis. Participants will learn how to use Microsoft Excel to conduct statistical analyses such as correlation coefficients to determine relationships between variables and simple linear regression to determine expected changes in an observed variable.

Learning Outcomes:
• Evaluate the usefulness of different statistical techniques
• Explain the fundamental concepts of inferential statistics and their real-world application
• Describe various forecasting techniques and types of regression analysis
• Explain the advantages and disadvantages of various statistical techniques

In this closing session, participants will have the chance to review and share lessons learned in the course, attend a Q&A session with our instructor, and wrap-up course content.

Edinburg Course Information

Registration Deadline:



Program Modality:

Edinburg CESS Building

Dr. Eduardo Millet

$ 749

Students requiring accommodation should contact our office pewd@utrgv.edu to learn about the process.

- More of What You're Looking For -