Basics of Time Series Forecasting

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

You will learn how time series data works, including trends, seasonality, forecasting methods, 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.

Time series forecasting is the process of analyzing data collected over time to identify patterns and predict future values.

A trend shows the general direction of data over time, while seasonality refers to repeated patterns that occur at regular intervals.

The Basics of Time Series Forecasting course is designed as a 2–3 week online self-paced course.

Yes. Time series forecasting is useful for sales forecasting, demand planning, financial trend analysis, budgeting, and business decision-making.

The course explains time-based data, trends, seasonality, moving averages, forecasting, and evaluation using simple examples without requiring prior data science or coding knowledge. The Basics of Time Series Forecasting course provides a simple and structured introduction to analyzing time-based data and making predictions. It is an ideal starting point for learners who want to explore forecasting, data science, and real-world analytics applications.