Forecasting, Regression and Statistic in Excel
Forecasting, Regression and Statistic in Excel is a MySkill credential dated March 2026 focused on quantitative analysis within spreadsheets. The documented topics start with descriptive statistics and an introduction to statistical reasoning, then cover time-series analysis, linear regression, and forecasting from time-based observations. This scope distinguishes summarizing existing values from examining relationships and estimating future values; the source does not provide a forecasting model, dataset, or accuracy result.
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Time Series Analysis
Introduces observations arranged over time and their patterns. A trend, seasonal variation, or unusual observation can each change how a series is interpreted.
Linear Regression
Covers modeling a relationship between variables with a linear trend. The fitted line describes an association; its slope and residuals help assess whether it explains the observations.
Forecasting Time Series
Addresses using time-based observations to estimate future values. Forecasts depend on historical patterns and assumptions, so uncertainty matters alongside a projected value.
Introduction to Statistic
Introduces statistical concepts used to interpret data. It distinguishes a population from a sample and a summary measure from an inference about unseen data.
Descriptive Statistic in Excel
Covers summarizing distributions with descriptive measures in Excel. Measures such as central tendency and spread reveal more than a total or a single average.