Pearson Product Analytics For Data-Driven Decisions Derive Insights From Web Analytics Data

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00001 Product Analytics for Data-Driven Decisions - Introduction.mp4

04:09

00002 Theory Building Techniques in Product Analytics.mp4

01:07

00003 Learning objectives.mp4

01:19

00004 1.1 The Data-Generating Process.mp4

01:53

00005 1.2 The Characteristics of a Social System.mp4

13:28

00006 1.3 Types of Inference.mp4

08:31

00007 1.4 Pitfalls for Analysis.mp4

05:08

00008 1.5 Actionable Insights.mp4

02:51

00009 Learning objectives.mp4

01:37

00010 2.1 Theory Creation Process.mp4

05:18

00011 2.2 Elements of Theory Building.mp4

23:55

00012 2.3 Conceptualization and Measurement.mp4

08:36

00013 2.4 Example - Theory Building for Web Products.mp4

08:22

00014 Learning objectives.mp4

01:06

00015 3.1 Understanding Behavior.mp4

05:23

00016 3.2 Psychological Theories of Behavior Change.mp4

06:12

00017 3.3 Neurological Theories of Behavior Change.mp4

03:24

00018 3.4 Behavior Change for Web Products.mp4

07:23

00019 Testing Theories in Product Analytics - Feature Metric Development.mp4

03:14

00020 Learning objectives.mp4

00:52

00021 4.1 Distributions.mp4

09:15

00022 4.2 Mean Mode and Variance.mp4

10:17

00023 4.3 Skew Kurtosis.mp4

03:15

00024 4.4 Sampling.mp4

17:56

00025 4.5 Other Types of Distributions.mp4

03:40

00026 4.6 Calculating Linear Correlations.mp4

06:28

00027 Learning objectives.mp4

00:29

00028 5.1 Period -- Age -- Cohort.mp4

08:01

00029 5.2 Cohort and Period Metrics.mp4

12:26

00030 5.3 The Denominator Problem.mp4

05:29

00031 5.4 Period Person Years.mp4

12:51

00032 5.5 Standardization.mp4

03:29

00033 5.6 Re-weighting.mp4

11:51

00034 Learning objectives.mp4

00:32

00035 6.1 Common Metrics--Part 1.mp4

07:36

00036 6.2 Common Metrics--Part 2.mp4

17:13

00037 6.3 Funnel Metrics.mp4

07:16

00038 6.4 Progression Metrics.mp4

05:19

00039 6.5 Survival Metrics.mp4

09:31

00040 6.6 Pitfalls of Metric Development.mp4

06:07

00041 Learning objectives.mp4

00:25

00042 7.1 Measuring Complex Concepts.mp4

12:51

00043 7.2 Basic Survey Design Best Practices.mp4

09:27

00044 7.3 User Segmentation vs. Typing.mp4

05:14

00045 7.4 Modelling Preferences Choice.mp4

20:22

00046 7.5 Principal Components Analysis PCA.mp4

13:32

00047 7.6 Example Using PCA Factor Analysis for Indicator Creation.mp4

11:42

00048 Learning objectives.mp4

00:34

00049 8.1 Set-Up A B Tests--Part 1.mp4

13:12

00050 8.2 Set-Up A B Tests--Part 2.mp4

16:33

00051 8.3 Understand Randomization.mp4

07:02

00052 8.4 Interpret the Results of A B Tests--Part 1.mp4

16:17

00053 8.5 Interpret the Results of A B Tests--Part 2.mp4

12:08

00054 8.6 Pitfalls of A B Testing.mp4

22:05

00055 Product Analytics for Data-Driven Decisions - Summary.mp4

01:58

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