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Foundations of Customer Data Science
Curriculum
1 Section
21 Lessons
30 hours
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Unit 1 — Foundations of Customer Data Science
21
1.1
The Nature of Customer Data
20 mins
1.2
Why Customer Data Is Difficult to Manage
20 mins
1.3
Where Did We Go Astray?
20 mins
1.4
Getting Customer Data into a Database
20 mins
1.5
Our One-to-One Future, and Why It Has Been Slow to Arrive
20 mins
1.6
From Database to Digital
20 mins
1.7
A New Era of Customer Science
20 mins
1.8
Technical and Human Infrastructure at Caesars
20 mins
1.9
Customer Science at Sephora
20 mins
1.10
Lessons from Caesars and Sephora
20 mins
1.11
Customer Interaction Revolution
20 mins
1.12
How Did We Get Here?
20 mins
1.13
Linguistic Computing
20 mins
1.14
Creating GPTs and Projects: The End of Prompt Engineering
20 mins
1.15
Is It Cheating?
20 mins
1.16
Pro Tip: Flip the Script
20 mins
1.17
Preparing for Change
20 mins
1.18
Generative AI in the Present and Future
20 mins
1.19
Demographic Data
20 mins
1.20
Customer Engagement Data
20 mins
1.21
Subjective and Attitudinal Customer Data
20 mins
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