Question 1

Which tools and technologies will be used in the workshop?

Accepted Answer

You will work with Python, pandas, the Nixtla ecosystem, LightGBM, and deep learning models like NHITS, along with modern approaches such as zero-shot and foundation model forecasting.

Question 2

Will I get hands-on experience during the workshop?

Accepted Answer

Yes, this is a fully hands-on workshop where you will build, evaluate, and compare multiple forecasting models using real-world datasets in Python.

Question 3

How will this workshop help in real-world forecasting projects?

Accepted Answer

You will gain practical skills to design, benchmark, and deploy forecasting systems, including handling uncertainty, improving accuracy, and making better business decisions in areas like demand planning and supply chain forecasting.

Question 4

Is this workshop suitable for beginners in time series forecasting?

Accepted Answer

This workshop is designed for intermediate Python users with basic machine learning knowledge. Prior exposure to time series forecasting is helpful but not required.

Time Series Forecasting in Python: End-to-End Practice

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