Analytics Training and Professional Development

The Center offers an extensive selection of analytics and data management online and in-person courses designed to provide analytics professionals with the skills to manage data, use popular analytics tools, and develop and communicate insights that improve business performance.  

These courses are open to the public. If you are an individual or business professional looking for analytics training, the Center for Business Analytics offers corporate training on a variety of business and data analytics topics. Courses offered through the Center for Business Analytics are not eligible for academic credit or UC tuition reimbursement.

These short courses are not pre-recorded but are taught live by experienced data scientists and professionals from the University of Cincinnati and other leading business analytics companies.  Attendees have the opportunity to ask questions about their specific application or issues with the subject matter.  Our instructors encourage the engagement!

Scheduled in 2023 (more to come)

These training classes are open to the public and no prior experience is needed for most classes (except for those designated as "Advanced" level)

• Introduction-Advanced: Analyzing Data with MS Power BI
  -Jan 9-Feb 1 2023  12:45PM- 4:15PM https://cvent.me/dOLOnP  
  
  
• Introduction to Tableau
  -Feb 7, 9, 14 & 16 12:45 -4:15PM  https://cvent.me/0RyM5R 
  
  
• Advanced Tableau
  -March 14, 16, 21 & 23 12:45 -4:15PM  https://cvent.me/x8ZRNr
  
  
• Introduction to Power BI
  March, 6, 9, 13 & 15  12:45 -4:15PM  https://cvent.me/MBAeNL
  
  
• Data Visualization Principles and Concepts
  April 5, 7, 12, & 14  8:45 AM-12:15 PM https://cvent.me/qmQomy
  
  
• Advanced Power BI
  May 8, 10, 15, & 17  12:45 -4:15PM  https://cvent.me/l5ZaPm

Custom/Private Training

All training courses can be offered privately or customized to specific organizational requirements.  To learn more please contact Larry Porter (513-556-4742).

Course attendees earn a Certificate of Completion for each class taken. Attendees have the option to take multiple focused classes that lead to various "Certificates of Compentency" (see information below).

The University of Cincinnati’s Center for Business Analytics was founded in 2013 as a way to connect the academic community to the business community for the purpose of growing the use of best practices in Data Analytics and Data Science. It is a Center of Excellence in the Department of Operations, Business Analytics and Information Systems that is located in the Lindner College of Business. Since the beginning, Data Analytics training has been an important outreach by the Center with over 2,000 attendees participating from organizations such as:

Classes in all areas of data analytics are offered on a regular basis throughout the year that cover everything from the beginner’s introduction to data analytics, popular data analytics tools for data collection and data management (Excel, SQL, Database Management), data visualization tools and practices (Excel, Power BI, Tableau), advanced coding tools for data science (R, Python), to advanced data science topics (model building, machine learning, deep learning, big data, etc). Some classes are designed for those with no prior experience who want to learn the basics of data analytics, those with some experience who want to upskill to advance in their careers, and classes for the highly technical individuals who perform advanced data science tasks. Beginners have the opportunity to progress to advanced levels through carefully designed programs in areas of interest. The Center also delivers custom training courses that are specifically tailored to the needs of the organizations.

Please note that Center for Business Analytics training classes are not eligible for academic credit or UC tuition reimbursment.

All courses are taught online by live Instructors

"Online is always tougher, but having a live instructor vs. a course that is just a series of videos/tutorials makes a huge difference.“ (training course survey)

"I completed an Intermediate class in using Python for Data Science at the UC Center for Business Analytics. The courses, even when presented online, are excellent. Turns out that the "math" and Python/programming side of Data Science is the easy stuff.  I've picked up a few O'Reily books to prep me for the last, advanced class in June. If you want to get comfortable with data modeling and python, I highly recommend these courses" (linkedin post)

TechCred is a State of Ohio funded program that helps Ohioans learn new skills and helps employers build a stronger workforce with the skills needed in a technology-infused economy.
Essentially, it is reimbursable funds that Ohio companies and non-profit organizations can use to upskill their employees around technology.

The current round opened July 2 and several other rounds are planned for this year.  Please visit  the techcred site for details.

• Any Ohio registered company may apply to support current and prospective Ohio resident employees for technology-focused credentials.
• Training costs are reimbursed to employers

Most Center training classes are eligible for the techcred program.  To apply go to the techcred site

For assistance with Techcred applications or other questions, please contact Larry Porter (513-556-4742). 

Continuing Education Units

A Certificate of Completion is provided with each course showing number of contact hours (instruction), and field of study as "Information Technology" for continuing education purposes. Most courses provides 12 contact hours and are equivalent to 1.2 CEU's.

The term CEU is not a trademarked term; therefore, any educational institution may use it to describe their courses. Professions and industries usually regulate their approved continuing education within their bylaws and not one institute or accrediting body has become a standard to accept in this regard. Professionals should always consult their Association or regulating body prior to embarking on continuing education and not assume a CEU will be accepted as part of their professional development.

We also offer these and other customized courses at your location. For more information on any of these on-site course options, contact Glenn Wegryn, Executive Director of the Center for Business Analytics at wegryngn@ucmail.uc.edu or 513-556-7146.

DATA SCIENCE BOOTCAMP CERTIFICATE OF COMPETENCY (6 classes)

• SQL for Business Analysts or Introduction to Data Management for Business Analysts
• Introduction to Tableau or Introduction to MS PowerBI
• Data Visualization Principles and Concepts or Applied Power BI
• Introduction to Python for Data Science or Introduction to R for Data Science
  
• Intermediate Python for Data Science or Intermediate R for Data Science
  
• Advanced Python for Data Science or Machine Learning with R or Fundamentals of Machine Learning

PYTHON FOR DATA SCIENCE CERTIFICATE OF COMPETENCY (3 Classes)

• Introduction to Python for Data Science
• Intermediate Python for Data Science
• Advanced Python for Data Science or Fundamentals of Machine Learning

R FOR DATA SCIENCE CERTIFICATE OF COMPETENCY (3 Classes)

• Introduction to R for Data Science
• Intermediate to R for Data Science
• Applied Analytics with R or Machine Learning with R or Fundamentals of Machine Learning

DATA VISUALIZATION CERTIFICATE OF COMPETENCY (3 Classes)

• Data Visualization Principles and Concepts or Applied Power BI
  
• Introduction to Tableau or Introduction to MS PowerBI
• Advanced Tableau or Advanced MS PowerBI
• Introduction-Advanced: Analyzing Data  with MS Power BI (double class counts as both Introduction and Advanced Power BI Training
  

To achieve a Certificate of Competency, all classes must be taken through the Center for Business Analytics.  In the event that professional experience meets the prerequisite for a class, another approved class may be substituted (limited to 1 class per Certificate of Competency).

During the progression of the Certificate training you will be developing a portfolio of work.  We will ask you to save that work and submit it to us upon completion of the final class in the Certificate sequence. There are no final exams, but we will review your portfolio before granting the Certificate of Competency. 

Questions about Certificates of Competency?

Please contact Larry Porter at porterlc@ucmail.uc.edu

ANALYTICS LEADERSHIP

• Analytics for Executives

PROJECT MANAGEMENT

• Project Management: A How to Guide

MS POWER PLATFORM

• MS Power Platform Fundamentals

DATA VISUALIZATION

• Data Visualization Principles and Concepts
• Introduction to Tableau
• Advanced Tableau
• Introduction to MS Power BI
• Advanced MS Power BI
• Applied Power BI
  
• Introduction - Advanced: Analyzing Data with MS Power BI
  

The Data Visualization Certificate of Competency is offered in this area consisting of 3 related classes.

R FOR DATA SCIENCE  

• Introduction to R for Data Science
• Intermediate R for Data Science
• Applied Analytics with R
  
• Text Mining with R
• Machine Learning with R
• Deep Learning with Keras and Tensorflow in R

The R Certificate of Competency is offered in this area consisting of 3 related classes.

PYTHON FOR DATA SCIENCE  

• Introduction to Python for Data Science
• Intermediate Python for Data Science
• Advanced Python for Data Science

The Python Certificate of Competency is offered in this area consisting of 3 related classes.

MACHINE LEARNING

• Fundamentals of Machine Learning (R & Python)
• Machine Learning with R
• Deep Learning with Keras and Tensorflow in R

DATA MANAGEMENT/SQL FOR BUSINESS ANALYSTS

• Introduction to Data Management for Business Analysts
• Introduction to SQL for Business Analysts

EXCEL FOR ANALYSTS

• Microsoft Office Specialist (MOS) Excel Associate Certificate Training
• Microsoft Office Specialist (MOS) Excel Expert Certificate Training
• Analytics in Excel
  

BIG DATA

• Big Data and Spark
• Introduction to Big Data and Hadoop