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Time Series Analysis Course

Time Series Analysis Course
flexible workload of 4 to 360h
valid certificate in your country

What will I learn?

Gain hands-on skills to clean, analyse, model, and predict monthly retail and e-commerce sales data. Master techniques for handling missing values, outliers, seasonal patterns, and special events like Black Friday. Develop and evaluate ARIMA, exponential smoothing, state space, and machine learning models to deliver precise forecasts for better inventory management, marketing strategies, and revenue planning.

Elevify advantages

Develop skills

  • Prepare retail time series data by cleaning, transforming, and aligning monthly sales efficiently.
  • Master ARIMA, SARIMA, and ETS models to fit, tune, and compare demand forecasts accurately.
  • Use decomposition, ACF, and PACF to uncover trends, seasonality, and event impacts.
  • Validate forecasts with cross-validation, residual analysis, and metrics like MAE, RMSE, MAPE.
  • Convert forecasting results into actionable strategies for inventory and promotions.

Suggested summary

Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.
Workload: between 4 and 360 hours

What our students say

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EmersonPolice Investigator
The course was essential to meet the expectations of my boss and the company I work for.
SilviaNurse
Very great course. Lots of rich information.
WiltonCivil Firefighter

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