Analytics Training and Professional Development
Since its founding in 2013, the Center for Business Analytics has offered data analytics training courses to provide analytics professionals with the skills to manage data, use popular analytics tools, and develop and communicate insights that improve business performance.
More than 2,000 participants from companies spanning all industries have completed our public and private training. Additionally, training participants benefit from completing certificates of competency, continuing education units (CEUs) and more.
Analytics Training and Professional Development
Upcoming schedule for instructor-led, live, online courses:
- Introduction to Power BI: Nov. 18, 19, 21 & 22, 2024
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- Advanced Power BI: Dec. 9, 10, 12, 13, 2024
Learn more and register - Data Visualization Priciples, Storyfinding and Storytelling: Jan. 22, 24, 29 & 31, 2025
Learn more and register - Introduction to Power BI: Feb. 10, 11, 13 & 14, 2025
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- Applied Power BI: Mar. 3, 5, 10, 12, 2025
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- Advanced Power BI: Mar. 31, Apr. 1, 3 & 4, 2025
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- Introduction to Power BI: May 12, 13, 15 & 16, 2025
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Public Training
Our public training opportunities are open to anyone interested in growing their data and analytics skills:
- Courses are offered in online and in-person modalities.
- Courses are taught live — not pre-recorded — by experienced data scientists and professionals from Lindner/UC or leading business analytics companies.
- Courses are open to the public.
- Courses do not require prior experience, unless designated as "intermediate or advanced."
- Completed courses are not eligible for academic credit or UC tuition reimbursement.
- Course instructors encourage engagement, so attendees may ask questions about the subject matter or specific applications.
- Group rates are available for five or more individuals from the same organization interested in the same course. Contact us for pricing.
Having a live instructor versus a course that is just a series of video tutorials makes a huge difference.
Feedback from a training course survey
Private/Custom Training
All public training courses can be offered privately and can be customized to meet specific organizational requirements. We also offer multi-course bootcamps and have a catalogue of trainings available for private offerings only.
- Courses go beyond surface-level trends and dig deeper based on industry, ranging data analytics, data science, cloud, data engineering, machine learning, and artificial intelligence topics.
- Courses are expertly-crafted and tailored to specific organizational or industry needs.
- Course instructors review the course outline with you and can incorporate and merge introductory, intermediate and advanced topics to create the best course agenda for your team. They can also incorporate company- or industry-specific data ensuring your team gets the most out of their training.
Private Training Options
- Contains generic data sets.
- Attendance is capped at 25 people.
- Course is scheduled around the timing of the organization and the availability of the instructor.
- Some minor modifications, or mixing of Introduction and Advanced topics can be included.
- Contains organization-supplied data and incorporates modifications or special topics into the course by request.
- Attendance is capped at 25 people.
- Course is scheduled around the timing of the organization and the availability of the instructor.
- These trainings are quoted individually after the modifications and data sets have been identified.
- A series of four or five two-day classes that take place over the course of several weeks.
- Recent bootcamps included Data Management, SQL for Business Analysts, Data Ops, Data Visualization Principles (includes Data Storytelling), and Introduction and Advanced Power BI or Tableau.
I completed an Intermediate class in using Python for Data Science. The courses, even when presented online, are excellent. Turns out that the 'math' and Python/programming side of data science is the easy stuff. If you want to get comfortable with data modeling and Python, I highly recommend these courses.
LinkedIn User
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Course Offerings
Some courses 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.
A Certificate of Completion is awarded at the end of each individual course, recognizing that the participant has successfully finished that specific course.
Analytics Leadership
Artificial Intelligence
Project Management
MS Power Platform
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
Excel for Analysts
- Microsoft Office Specialist (MOS) Excel Associate Certificate Training
- Microsoft Office Specialist (MOS) Excel Expert Certificate Training
- Analytics in Excel
Big Data
Certificates of Competency
A Certificate of Competency is awarded to participants who successfully complete a designated series of non-credit classes offered by the Center for Business Analytics. The certificate is not granted after a single course but requires completion of multiple courses in a structured sequence. If professional experience satisfies the requirement for one of the courses, a participant may substitute one approved class. Throughout the program, participants develop a portfolio of work, which is submitted and reviewed upon completion of the final course. This portfolio review replaces a final exam and is required to earn the Certificate of Competency.
Data Science Bootcamp Certificate of Competency (6 classes)
- SQL for Business Analysts
- Introduction to Tableau or Introduction to MS Power BI
- Data Visualization Principles and Concepts
- Introduction to Python for Data Science
- Intermediate Python for Data Science
- Advanced Python for Data Science 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
Data Visualization Certificate of Competency(3 Classes)
Ohio TechCred Program
TechCred is a program funded by the state of Ohio that helps Ohioans learn new skills and helps employers build a stronger workforce with the skills needed in a technology-infused economy.
- Any Ohio registered company can apply to support current and prospective Ohio resident employees for technology-focused credentials.
- Training costs are reimbursed to Ohio-based companies and non-profit organizations.
Most of our training classes are eligible for the TechCred program. Apply through Ohio TechCred's website.
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 provide 14 contact hours and are equivalent to 1.4 CEUs.
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.