📚 Syllabus & Course Curriculum
Data Science & Analytics
Module-by-module breakdown of Basics of Time Series Forecasting, from foundations to a certified capstone project.
Outline
What is Time Series Data? • Examples of Time-Based Data • Importance of Time in Data Analysis • Applications of Time Series
Outline
Trend, Seasonality, and Cycles • Identifying Patterns in Data • Stationary vs Non-Stationary Data: Basic Idea • Visualizing Time Series Data
Outline
Introduction to Forecasting • Moving Average Concept • Simple Trend-Based Forecasting • Examples of Prediction Using Time Data
Outline
Understanding Forecast Accuracy • Error and Performance Basics • Limitations of Forecasting • Improving Predictions
Outline
Time Series in Business, Finance, and Weather Forecasting • Demand and Sales Forecasting • Career and Learning Pathways in Data Science • Mini Learning Activity / Concept-Based Practice
Earn government-registered certification in Basics of Time Series Forecasting
e-Certificate and e-Marksheet issued on successful completion.
