Predictive Analytics for Business Insights focuses on equipping participants with the essential tools and methodologies to leverage data for strategic decision-making. The course emphasizes hands-on projects that allow learners to apply statistical techniques in real-world business scenarios, fostering a practical understanding of predictive modeling. Participants will engage in interactive sessions that culminate in the publication of their findings in Cademix Magazine, enhancing their professional profiles.
The curriculum is designed to cover a comprehensive range of topics that are crucial for mastering predictive analytics. By engaging with various statistical methods, participants will learn how to interpret complex datasets and derive actionable insights that drive business growth. The final project will challenge learners to synthesize their knowledge and present a predictive model that addresses a specific business problem, showcasing their expertise in the field.
Introduction to Predictive Analytics and its Business Applications
Data Collection Techniques and Data Preparation
Exploratory Data Analysis (EDA) for Business Insights
Statistical Foundations: Key Concepts and Techniques
Regression Analysis: Linear and Logistic Models
Time Series Analysis for Forecasting
Machine Learning Basics: Supervised vs. Unsupervised Learning
Model Evaluation and Selection Criteria
Implementing Predictive Models using Python/R
Final Project: Developing a Predictive Model for a Business Case Study