Analysis and forecasting time series for retail sales

Watch video PAST EVENT

SSA Group has held its first webinar in 2022. This time, the online event focused on analysis and forecasting time series for retail sales.  

The speakers elaborated on the notion of time series in retail sales and explained the base steps of time series analysis. In addition, there was a discussion on how to manage time series data and apply feature engineering techniques for time series forecasting. In particular, our speakers focused on modelling by classic statistical methods and using Machine Learning approaches, models validation and analysis of results.  

Mariia Mazorchuk

Mariia Mazorchuk

Middle II Data Scientist

Andrii Sahan

Andrii Sahan

Middle II Data Scientist

  1. Time series in retail sales. What do we want to analyze and predict?
  2. Base steps of time series analysis.
  3. Pre-processing and cleaning time series data.
  4. Feature engineering for time series forecasting.
  5. Modelling: Classical Statistical Methods, MARS, XGBoost, etc.
  6. Model validation and analysis of results.

The webinar gathered Data Science specialists, Business analysts, Software engineers, and those interested in eCommerce.

We are grateful to the speakers for sharing valuable knowledge and all attendees for joining us during this online event.

analysis and forecasting time series for retail sales

Video version (In Ukrainian)

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