Time Series Forecasting Essentials

About this course

Master the essential building blocks of time series forecasting.

• 5 lessons
• 30 min
• beginner

What you'll learn

• Define time series data and identify its key structural properties
• Explain why temporal ordering is essential in time series analysis
• Understand the concept of time dependency in sequential observations
• Recognize the historical development of time series forecasting methods
• Identify and describe the three core components of a time series
• Differentiate between stationary and non-stationary series

Finishing the course

• 20 knowledge-check questions along the way, so you know the ideas stuck before you move on.
• Watching is free and needs no account. Sign in to save your progress. Pass each lesson's quiz (60%+) to earn the certificate. Each certificate has its own public verification link to share, marked quiz-verified.
• Part of the Machine Learning Fundamentals and Applications learning path. Enrol in the path and finish its required courses to earn one certificate for all of them.

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