01:09:23

Introduction to Power BI, part 2

01:10:36

Introduction to PowerBI, part 1

06:58

Random number generator in Python

50:17

Lecture 27 - Non parametric Tests, Part 2

01:00:08

Lecture 26 - Non parametric Tests, Part 1

46:06

Lecture 25 - Multiple Linear Regression Part 2

44:28

Lecture 24 - Multiple Linear Regression, Part 1

27:12

Lecture 23 - Simple Linear Regression, Part 3

56:57

Lecture 22 - Simple Linear Regression, Part 2

53:15

Lecture 21 - Simple Linear Regression, Part 1

01:07:23

Lecture 20 - ANOVA

45:33

Lecture 19 - Chi Squared of Independence

53:41

Lecture 18 - Chi Squared Goodness-of-Fit Test

37:40

Lecture 17 - Hypotheses Testing Two Populations, Part 3

01:10:35

Lecture 16 - Hypotheses Testing Two Population, Part 2

01:05:20

Lecture 15 - Hypotheses Testing Two Populations, Part 1

52:06

Lecture 14 - Hypotheses Testing One Population, Part 2

01:01:59

Lecture 13 - Hypotheses Testing One Population, Part 1

48:19

Lecture 12 - Introduction to Hypotheses Testing

40:38

Lecture 11 - Confidence Interval for Categorical Data

01:01:23

Lecture 10 - Confidence Interval for Numerical Data

37:14

Lecture 9 - Sampling Distribution

20:22

Lecture 8 - Standard Normal Distribution (Z)

57:30

Lecture 7 - Normal Distribution

46:09

Lecture 6 - Numerical Descriptive Techniques: R Exercise

50:03

Lecture 5 - Numerical Descriptive Techniques: Discussion

39:17

Lecture 4 -- Graphical Descriptive Techniques: Histogram

01:01:54

Lecture 3 - Graphical Descriptive Techniques: Bar Plot

49:30

Lecture 2 - Introduction to R, part 2

46:40

Lecture 1 - Introduction to R, part 1

52:43

CRISP-DM Methodogology

13:14

Regression Models Accuracy Measures Part 2

23:12

Regression Model Accuracy Measures Part 1

45:54

Logistic regression, part 4

49:47

Logistic regression, part 3

44:45

Logistic regression, part 2

44:01

Logistic regression, part 1

35:49

Multiple regression - Multicollinearity

44:54

Multiple regression - Stepwise Backward Elimination

45:11

Simple linear regression, part 4

28:59

Simple linear regression with R, part 2

39:06

Simple linear regression with R, part 3

03:55

CNU band

37:12

Simple linear regression in R, part 1

37:42

Regression trees in R

35:30

Classification tree in R, part 6

47:09

Classification tree in R, part 5

48:36

Classification tree in R, part 4

48:12

Classification tree in R, part 3

48:32

Classification trees in R, part 2

43:44

Introduction to R and RStudio, part 3

43:11

Introduction to R and RStudio, part 2

42:15

Introduction to R and RStudio, part 1

34:15

Introduction to Tableau, part 3

43:43

Introduction to Tableau, part 2

44:41

Introduction to Tableau, part 1

47:01

Classification Tree in R, part 2

13:43

Classification Tree in R, part 1

36:54

Categorical Data Analysis in R

44:58

Exponential Smoothing Forecast