49:41

Introduction to R

15:30

How to install JMP

17:03

Importing data into Python DataFrame

39:59

Visualization with Python, part 2

29:36

Visualization with Python, part 1

36:49

Introduction to Python, Part 2

49:59

Introduction to Python, part 1

41:05

Lecture 28. Formula Deport and Model Comparisson

30:56

Lecture 27. Comparing models in JMP

46:49

Lecture 26. Building Neural Nets in JMP

42:00

Lecture 25. Introduction to Neural Networks

40:30

Lecture 24. Clustering application example

28:56

Lecture 23. Making sense of clusters

37:55

Lecture 22. K-means clustering

37:05

Lecture 21 - Hierarchical Agglomerative Clustering

45:02

Lecture 20. Introduction to Clustering

41:07

Fixed Charge and Facility Location Trans-Shipment Problem

33:56

Lecture 19. Unit odds Ratio in Logistic Resgression

35:23

Lecture 18. Using logistic regression

44:19

Lecture 17. Using Logisic Regression

34:57

Fixed Charge and Facility Location Problem

43:44

Lecture 16. Introduction to Logistic Regerssion

44:23

Lecture 15. Categorical variables in Linear regression

27:53

Lecture 14. Backwards Stepwise Linear Regression

01:11:12

10/18 Multiple regression

45:14

Lecture 13 Multiple Linear Regression

42:47

Lecture 12. Residual Analysis

46:28

Lecture 11. Linear Regression

41:36

Lecture 10. Introduction to Linear Regression.

40:34

Lecture 9. Regression trees

46:17

Lecture 8. Classification trees. Avoiding the overfitting

23:30

Prior Approval Instructions

35:02

Lecture 7 - Classification trees

48:46

Lecture 6 - Visualization with Tableau. Dashboards

47:00

Lecture 5. Visualization using Tableau

41:01

Lecture 4. Visualization with JMP

43:13

Lecture 3. Visualization with JMP

48:54

BUSN 305 - Lecture 2. Introduction to Visualization with JMP

44:44

BUSN 305 - Lecture 1

12:34

How to fill out Luter Annual Professional Development Plan

01:50:41

Final Exam Review

55:00

Part 13

01:03:05

Part 12

01:49:14

Part 11

02:16:02

Part 10

01:51:15

Part 9

01:03:57

Part 8

01:54:02

Part 7

02:15:45

Part 6

01:50:06

Part 5

01:14:14

Part 4

02:10:32

Part 3

02:01:02

Part 2

01:43:30

Part 1

21:34

Introduction to R

19:16

Classification Tree - Titanic example

21:14

Online E-beer practice game

28:15

Part 12 -- Creating Reports Using MS Access

19:54

Part 11 -- MS Access Reports

22:54

Part 10 -- MS Access SQL Queries