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Marketing Analytics

Chapters

11. Introduction to Marketing Analytics

22. Data Collection & Tracking

33. Data Management & Engineering

Data Ingestion Strategies Data Modeling for Marketing (Events, Users, Sessions)ETL vs ELT Patterns Building a Marketing Data Warehouse Data Cleaning and Transformation Schema Design and Naming Conventions Handling Identity: Cookies, IDs, and Identity Graphs Time-Series and Windowing for Marketing Data Scaling and Partitioning Strategies Data Catalogs and Lineage

44. Exploratory Data Analysis & Visualization

55. Digital Analytics: Web, Social & Mobile

66. Customer Analytics & Segmentation

Courses/Marketing Analytics/3. Data Management & Engineering

3. Data Management & Engineering

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Storing, cleaning, and preparing marketing data for analysis, including ETL/ELT processes and schema design.

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Schema Design and Naming Conventions

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