Basics of Predictive Analytics

Yes. This is a free online self-paced course designed for beginners.

You will learn how predictive analytics works, including data trends, regression basics, prediction models, and evaluation.

No. The course focuses on concepts and does not require prior programming experience.

Students, beginners, and professionals from any background can join.

Yes. Learners receive an e-Certification after completing the course.

Predictive analytics is the use of historical data, patterns, and basic models to estimate or forecast future outcomes.

Yes. The course is designed for beginners and explains predictive analytics concepts in simple language without requiring prior analytics or coding knowledge.

The Basics of Predictive Analytics course is designed as a 2–3 week online self-paced course.

Yes. Predictive analytics is widely used to understand trends, predict customer behavior, support healthcare risk analysis, improve planning, and guide better decisions.

The course explains data trends, regression basics, prediction models, evaluation, and real-world applications using simple examples without requiring advanced mathematics or programming. The Basics of Predictive Analytics course provides a simple and structured foundation in data-driven prediction, helping learners understand how past data can be used to forecast future outcomes. It is an ideal starting point for exploring data science, analytics, and machine learning.