LiveLessons - Product Analytics for Data-Driven Decisions - Derive Insights from Web Analytics Data

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[ TutSala.com ] LiveLessons - Product Analytics for Data-Driven Decisions - Derive Insights from Web Analytics Data
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    • Bonus Resources.txt (0.4 KB)
      • Introduction
      • 001. Product Analytics for Data-Driven Decisions Introduction en.srt (7.2 KB)
      • 001. Product Analytics for Data-Driven Decisions Introduction.mp4 (30.6 MB)
      Lesson 1 Explore the Data-Generating Process
      • 001. Learning objectives en.srt (2.4 KB)
      • 001. Learning objectives.mp4 (9.8 MB)
      • 002. 1.1 The Data-Generating Process en.srt (2.2 KB)
      • 002. 1.1 The Data-Generating Process .mp4 (12.8 MB)
      • 003. 1.2 The Characteristics of a Social System.mp4 (56.2 MB)
      • 004. 1.3 Types of Inference.mp4 (31.0 MB)
      • 005. 1.4 Pitfalls for Analysis.mp4 (23.8 MB)
      • 006. 1.5 Actionable Insights.mp4 (10.3 MB)
      Lesson 2 Theory Building
      • 001. Learning objectives.mp4 (11.4 MB)
      • 002. 2.1 Theory Creation Process .mp4 (17.0 MB)
      • 003. 2.2 Elements of Theory Building .mp4 (105.3 MB)
      • 004. 2.3 Conceptualization and Measurement.mp4 (34.2 MB)
      • 005. 2.4 Example Theory Building for Web Products.mp4 (35.0 MB)
      Lesson 3 Behavior Change
      • 001. Learning objectives.mp4 (6.7 MB)
      • 002. 3.1 Understanding Behavior.mp4 (18.9 MB)
      • 003. 3.2 Psychological Theories of Behavior Change.mp4 (21.1 MB)
      • 004. 3.3 Neurological Theories of Behavior Change.mp4 (18.4 MB)
      • 005. 3.4 Behavior Change for Web Products.mp4 (27.0 MB)
      Lesson 4 Learn Basic Statistical Techniques and Common Pitfalls
      • 001. Learning objectives.mp4 (4.8 MB)
      • 002. 4.1 Distributions.mp4 (78.6 MB)
      • 003. 4.2 Mean, Mode and Variance.mp4 (101.1 MB)
      • 004. 4.3 Skew, Kurtosis.mp4 (29.6 MB)
      • 005. 4.4 Sampling.mp4 (156.1 MB)
      • 006. 4.5 Other Types of Distributions.mp4 (30.9 MB)
      • 007. 4.6 Calculating Linear Correlations.mp4 (56.2 MB)
      Lesson 5 Conceptualization, Operationalization and Metric Development
      • 001. Learning objectives.mp4 (2.9 MB)
      • 002. 5.1 Period -- Age -- Cohort .mp4 (71.4 MB)
      • 003. 5.2 Cohort and Period Metrics.mp4 (115.3 MB)
      • 004. 5.3 The Denominator Problem.mp4 (36.7 MB)
      • 005. 5.4 Period Person Years.mp4 (115.6 MB)
      • 006. 5.5 Standardization.mp4 (31.6 MB)
      • 007. 5.6 Re-weighting.mp4 (118.2 MB)
      Lesson 6 Metric Development Process
      • 001. Learning objectives.mp4 (3.1 MB)
      • 002. 6.1 Common Metrics--Part 1.mp4 (32.8 MB)
      • 003. 6.2 Common Metrics--Part 2.mp4 (170.6 MB)
      • 004. 6.3 Funnel Metrics.mp4 (32.5 MB)
      • 005. 6.4 Progression Metrics.mp4 (22.5 MB)
      • 006. 6.5 Survival Metrics .mp4 (76.8 MB)
      • 007. 6.6 Pitfalls of Metric Development.mp4 (33.5 MB)
      Lesson 7 Index Creation
      • 001. Learning objectives.mp4 (2.5 MB)
      • 002. 7.1 Measuring Complex Concepts.mp4 (59.4 MB)
      • 003. 7.2 Basic Survey Design Best Practices.mp4 (44.4 MB)
      • 004. 7.3 User Segmentation vs. Typing.mp4 (26.5 MB)
      • 005. 7.4 Modelling PreferencesChoice.mp4 (196.6 MB)
      • 006. 7.5 Principal Components Analysis (PCA).mp4 (119.9 MB)
      • 007. 7.6 Example Using PCAFactor Analysis for Indicator Creation.mp4 (48.7 MB)
      Lesson 8 AB Testing
      • 001. Learning objectives.mp4 (3.5 MB)
      • 002. 8.1 Set-Up AB Tests--Part 1.mp4 (58.8 MB)
      • 003. 8.2 Set-Up AB Tests--Part 2.mp4 (66.5 MB)
      • 004. 8.3 Understand Randomization.mp4 (33.2 MB)
      • 005. 8.4 Interpret the Results of AB Tests--Part 1.mp4 (139.9 MB)
      • 006. 8.5 Interpret the Results of AB Tests--Part 2.mp4 (91.1 MB)
      • 007. 8.6 Pitfalls of AB Testing .mp4 (109.3 MB)
      Part 1 Theory Building Techniques in Product Analytics
      • 001. Theory Building Techniques in Product Analytics en.srt (1.9 KB)
      • 001. Theory Building Techniques in Product Analytics.mp4 (8.1 MB)
      Part 2 Testing Theories in Product Analytics FeatureMetric Development
      • 001. Testing Theories in Product Analytics FeatureMetric Development.mp4 (30.3 MB)
      Summary
      • 001. Product Analytics for Data-Driven Decisions Summary.mp4 (13.4 MB)

Description

LiveLessons - Product Analytics for Data-Driven Decisions: Derive Insights from Web Analytics Data



https://TutSala.com

Released 06/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 7h 16m | Size: 2.85 GB

Learn How to Work with Real-World Data to Derive Actionable Business Insights

Product Analytics for Data-Driven Decisions: Derive Insights from Web Analytics Data will explore core concepts that will help viewers work with their data, identify bias in data sets, differentiate good data from bad data, and ultimately derive insights to help make actionable business decisions. Learners will see real-world examples of successful product analytics and learn how to utilize qualitative and quantitative measures for desirable outcomes.

Instructor Joanne Rodrigues is an accomplished data scientist, enterprise manager, and entrepreneur who applies machine learning/statistical algorithms to business strategy. Through eight unique video lessons, Rodrigues will provide in-depth training in the data generating process, psychological and neurological theories of behavior, implementing statistical tools in survey design and psychometric techniques, and much more.



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LiveLessons - Product Analytics for Data-Driven Decisions - Derive Insights from Web Analytics Data

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2.8 GB
seeders:9
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LiveLessons - Product Analytics for Data-Driven Decisions - Derive Insights from Web Analytics Data

Torrent hash: 1410B09C98582905A435A1FF445DF4889E0A6EA9