BADM 362
Credit: 3 hours.
Introduces the science side of marketing by studying multiple models and machine learning algorithms used by companies and consulting firms in the different steps of the marketing process. It includes clustering analysis, predictive analysis using linear regression and logistic regression, classification, and principal component analysis. To enhance the learning experience, the course will be strongly based on software applications such as R, Python as well as online data analytics platform Enginius that offer hands-on exposure to real life corporate applications.
Prerequisite: BADM 211.

- Section Status Closed

- Section Status Open

- Section Status Pending

- Section Status Open (Restricted)

- Section Status Unknown
-
-
- BADM 199
- BADM 205
- BADM 210
- BADM 211
- BADM 261
- BADM 275
- BADM 300
- BADM 303
- BADM 310
- BADM 311
- BADM 312
- BADM 313
- BADM 314
- BADM 320
- BADM 322
- BADM 323
- BADM 324
- BADM 325
- BADM 326
- BADM 329
- BADM 330
- BADM 331
- BADM 335
- BADM 336
- BADM 337
- BADM 340
- BADM 341
- BADM 346
- BADM 350
- BADM 351
- BADM 352
- BADM 353
- BADM 356
- BADM 358
- BADM 359
- BADM 362
- BADM 364
- BADM 366
- BADM 370
- BADM 371
- BADM 373
- BADM 374
- BADM 375
- BADM 378
- BADM 379
- BADM 380
- BADM 381
- BADM 382
- BADM 383
- BADM 390
- BADM 394
- BADM 403
- BADM 420
- BADM 446
- BADM 449
- BADM 453
- BADM 461
- BADM 463
- BADM 508
- BADM 509
- BADM 512
- BADM 516
- BADM 520
- BADM 523
- BADM 525
- BADM 526
- BADM 527
- BADM 534
- BADM 537
- BADM 541
- BADM 543
- BADM 544
- BADM 545
- BADM 547
- BADM 550
- BADM 554
- BADM 555
- BADM 557
- BADM 558
- BADM 561
- BADM 566
- BADM 567
- BADM 572
- BADM 573
- BADM 575
- BADM 576
- BADM 578
- BADM 584
- BADM 588
- BADM 589
- BADM 590
- BADM 591
- BADM 593
- BADM 594
"/> Section is Open
"/> Section is Open with Restrictions
"/> Section is Closed
"/> Section is Pending
"/> Section is availability is unknown
| Detail | Status | CRN | Type | Section | Time | Day | Location | Instructor |
|---|