This workshop provides an overview of data science 101 tactics that can aid marketers and managers in making business decisions on data that influences products and services.

• Data sources (Google Analytics, APIs, etc.
• Plan a data model (Exploratory Data Analysis, OKRs/KPIs, DuckDB, Clustering)
• Basics on Data Models (Decision Trees, Regressions)
• Time Series Analysis
• AI Prompts and gen AI features (Claude/ChatGPT/Perplexity) to explore data and create necessary visualizations
• Tips for communicating data model insights to teams (visualizations, auxiliary documentation tools, AI)