MGMT 269
Data Analytics for Marketing and Finance
Management · 4 units · Graduate courses (200-299)
(Formerly numbered 264B.) How to fit predictive models and visualize multivariate data using examples and topics from marketing and finance. Topics include conditional prediction and predictive models, advanced treatment of regression, visualization and graphics, automating analysis for high dimensional data. Use of industry-leading R/Rstudio statistical environment.
Letter grading.
When it runs
Checking the Schedule of Classes…
Requisites
Official UCLA wording
Enforced requisite: Management-Executive MBA 402 or Management-Full Time MBA 402 or Management-Fully Employed MBA 402.
BruinTree reads · Prerequisite
confidence 1.00 · from UCLA’s structured dataRequires
Everything that has to come before this course, not just the courses named in the requisite above.
MGMT 269
- MGMTEX 402Data Analysis and Management Decisions under Uncertainty
- MGMTFE 402Data and Decisions
- MGMTFT 402Data and Decisions
3 direct requisites. The whole upstream is here — 3 courses over 1 level. Every course here opens its own tree.
Unlocks
What this course is a requisite for, and what those courses lead to in turn.
No course in the catalog lists this as a requisite.