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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

Your classes are perfect. I purchased the one-year package and finally have the opportunity to follow various topics of my interest without needing to change platforms... I thank you for everything you do, I've already recommended you to other people...
Giulio Carlo
Giulio CarloDigital Marketing Student
I like how the lessons are straight to the point and how I can change chapters and skip content that I don't need.
Mariana Ferres
Mariana FerresPhotography Student
I like the content and the way of presentation and video transcription, which speeds up the process!
Luciana Alvarenga
Luciana AlvarengaNail Design Student
The platform is fast, simple to use. The diversity of content and complementary videos help a lot in learning.
André Felipe
André FelipePrompt Engineering Student

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