What the course covers

Prepare business data, build and evaluate supervised/unsupervised predictive models, compare errors and use forecasting/clustering for decisions.

Practice & assessment

Source outlines modeling/evaluation steps and business problem-solving; learner testimonials describe hands-on work, not independent outcome evidence.

Time, cost & access

Format
Live / instructor-led
Delivery & schedule
In-person April 6–8, 2027, 8:30–4:30Tuesday/Thursday at UWM continuing education.
Time
14 contact hours
Fee
$895.00 fee; currency not explicitly confirmed.
Teaching language
Confirm with the provider.
Entry requirements
Data Foundations or equivalent analysis experience recommended; Python or R experience helpful.
Enrollment notes
future_section_listed_available_or_closing_soon; cart_route; seats_untested

Before you enroll

  • Teaching language and software entitlement unknown; provider-described practice not independently assessed.
  • Scheduled calendar hours may differ from contact hours; breaks are not explained.

Latest recorded provider-source check: . Individual source dates appear below. Reconfirm current enrollment terms with the provider.

Provider sources & recorded check dates