Merging Predictive and Prescriptive Analytics with Data Literacy
Merging Predictive and Prescriptive Analytics with Data Literacy explores the fusion of advanced analytics techniques with a solid foundation in data literacy.
What you'll learn
Merging Predictive and Prescriptive Analytics with Data Literacy explores the fusion of advanced analytics techniques with a solid foundation in data literacy. This synergy enables individuals to not only decipher trends from historical data but also make informed predictions and recommend optimal actions for the future. The guide emphasizes the importance of understanding data sources, analysis methodologies, and the application of predictive and prescriptive insights. By mastering this integration, individuals can unlock powerful decision-making capabilities that drive innovation and efficiency across various domains.
Table of contents
- Introduction to Predictive Modeling 4m
- Predictive Modeling Example with K-fold Cross-Validation 5m
- Bridging the Gap: Predictive and Causal Analytics Connection 3m
- Mastering Predictive Modeling: Techniques and Interpretations 5m
- From Prediction to Prescription: Driving Data-Informed Actions 5m
- Data-Informed Decision-Making: Integrating Predictive and Prescriptive Analytics 4m
About the author
Troy Kranendonk is a Principal Data Author with extensive experience in data analysis, business intelligence, and the art of data visualization. With a background in Digital Media Education, Troy has a passion for innovation and leveraging technology to push boundaries. He has taught a variety of subjects including motion graphics, film, graphic design, 3D animation, Action Script, HTML, and CSS. Currently, Troy focuses on data education, excelling in content creation and sharing his expertise t... more