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Time Series and Forecasting Basics

Recognize temporal patterns, compare simple forecasts and evaluate predictions without future-data leakage.

3 reading lessons · about 30 min ·written by MTT

The idea

Time series observations have an order and frequency. A trend is a longer-term movement, seasonality repeats at a meaningful interval and noise includes irregular variation. Missing dates are not automatically zero activity. Record reporting changes or events that could create apparent patterns.

Worked example

A fictional shop has higher sales each Saturday. That weekly pattern differs from sales increasing steadily across months. A missing Tuesday report should be marked missing rather than replaced with zero and mistaken for a collapse in demand.

Try it

Draw fourteen daily observations with a repeated weekend pattern and one missing day. Label the frequency and distinguish a possible trend from the repeated pattern. State what additional history would help you evaluate whether the pattern is reliable.

Lesson 1 of 3 · About 10 min

Inspect the time axis

Check your understanding

Course quiz

Finish the course to unlock the quiz

Complete all 3 lessons and 5 questions open up here. You have 3 to go.

What you will learn

Distinguish trend, seasonality and noise
Build a last-value baseline
Evaluate on later observations

Before you start

Prerequisites: Basic arithmetic and table familiarity. Use fictional observations in a notebook or spreadsheet.
Cost: Free introductory reading lessons, exercises and quiz. Optional third-party tools, hosting or AI subscriptions may cost money.

Original introductory lessons and assessment by Master the Trick. Estimated times include the suggested exercises.