00:25

Creativity is intelligence having fun

14:56

Questions & Answers after "Walking Backwards into the Future"

03:24

FINALE in full HD of "Walking Backwards into the Future"

10:53

Opening Sequence in full HD of "Walking Backwards into the Future"

52:55

Walking Backwards into the Future (statistics and data science education)

03:22

iNZight Basics 1: From importing data to graphics

03:35

iNZight Lite 1: A first introduction to iNZight Lite

48:01

Gazing into the data future

02:23

iNZight Lite 1: A first introduction to iNZight Lite OUTDATED - NOW REPLACED

03:22

iNZight Basics 1: From importing data to graphics

05:04

iNZight Basics 4: Working with sub-setting variables

04:04

iNZight Basics 3: Working with pairs of variables (2 variables at a time)

02:46

iNZight Basics 2: Working with single categorical and numeric variables

01:41

BS confidence intervals for a difference between 2 means-v0

00:15

WildAboutStatistics

00:42

iNZight Lite 2: Loading Example data sets

05:04

iNZight Basics 4: Working with sub-setting variables

04:04

iNZight Basics 3: Working with pairs of variables (2 variables at a time)

02:46

iNZight Basics 2: Working with single categorical and numeric variables

05:53

Numeric Variables

05:59

Seasonal Decomposition and Forecasting, Part I

05:14

Comparing Time Series

05:09

Seasonal Decomposition and Forecasting, Part II

08:24

Statistical Significance and Power

04:35

Introducing Time Series Data

07:45

Percentages and Multiple Groups

07:43

The Randomization Test

05:59

Randomization Variation

05:21

Randomized Experiments

05:36

Estimation with Confidence for a Categorical Outcome

05:38

Estimation with Confidence for a Numeric Outcome

05:38

Do Bootstrap Confidence Intervals work?

04:05

Lines, curves and smoothers

01:32

More Relationships

05:38

Our changing health and wealth

05:21

Diving deeper with more variables

06:17

Overcoming perceptual problems

06:47

Trend, scatter and outliers

05:27

Relationships between numeric variables

04:57

Changes across sub groups

06:28

Relationships between categorical variables

02:49

Introduction to Relationships

03:30

Time travel

08:04

Comparing Groups

05:34

Feature Spotting

02:28

Ordering Categories

04:59

Categorical Variables

01:18

Statistics Boot Camp

05:19

Data Organisation

03:26

Introduction to the Course

04:32

How do we use Data Analysis

08:24

Confidence Intervals from Bootstrap re-sampling

04:49

Introduction to estimation with confidence

06:02

Random Error: Part 2 - Sampling variation & Sampling error

07:03

Random Error: Part 1 - Sampling variation & Sampling error

03:54

Causation and Confounding, Part 2

06:35

Causation and Confounding, Part 1

07:00

Sources of bias: How data goes bad

03:02

Sources of Error: Why what I see is never quite the way it really is