Analyse prédictive et modélisation de données pour les entreprises

Organizations today are flooded with data, but the real value lies in anticipating what happens next. Understanding how to turn historical data into forward-looking insights is one of the most in-demand skills in modern business. This text-based course guides you through the core principles of predictive analytics, helping you transition from basic data reporting to active forecasting. You will learn how to prepare datasets, build statistical models, and apply machine learning concepts to solve real-world business challenges. What you'll learn: Understand foundational predictive analytics terminology, statistical concepts, and the modeling lifecycle; Prepare and clean raw data using modern dataframe principles to ensure high-quality model inputs; Apply regression and classification algorithms to detect patterns and forecast future trends; Evaluate model performance using key metrics to ensure accuracy and reliability in business decision-making; Explore modern machine learning workflows, including basic model deployment and monitoring concepts. The course starts with essential terminology and statistical foundations before progressing to practical data preparation, model building, and evaluation techniques through written explanations and structured exercises. Designed for beginners, business analysts, and aspiring data professionals, this course requires no previous programming or advanced statistics background. Start reading today to unlock the predictive power of your data.