Training schedule

13 Apr - 16 Apr, 2021
Online, instructor-led / English
15 Nov - 18 Nov, 2021
Online, instructor-led / English


Contact Gert-Jan Steltenpool, if you want to know more about custom data & AI training for your teams. He’ll be happy to help you!
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Data Science - Senior

What will the future hold?

Learn the steps to create a Time Series forecast (with Codes in Python and R). From inventory to website visitors, resource planning to financial data, time-series data is all around us. But how can you know what the future holds? This two-day course empowers you to go beyond “spotting trends” and make data-driven business forecasts.

Clients we've helped

  • DSM is a GoDataDriven customer
  • Dupont - GoDataDriven customer
  • lego-logo
  • Airbus-logo
  • Merck-logo
  • Ahold Delhaize
  • Credit-Suisse-Logo
  • Shell-Logo
  • ING Bank
  • Danone logo
  • Nike-logo
  • tomtom_logo
  • Verizon-logo

What you'll learn

  • How to effectively handle time-series data
  • Python utilities that make working with time-series a breeze
  • Why model validation with time-series data cannot follow the traditional machine learning methodology
  • Time Series Forecasting Models in Python

  • How to determine which model best suits particular time series data
  • Why feature engineering is fundamental to the success of your modeling
  • How to incorporate seasonality into your models

The schedule

Day 1

The program consists of eleven blocks. Each block consists of a theory component and a hands-on lab.

  • Time features encoding and formatting;
  • Pandas time series features (smoothing, resampling, re-weighting);
  • Sessionization and holiday detection
  • Feature Engineering for time series
  • Additive vs Multiplicative features
  • Error-Trend-Seasonality Decomposition;
Day 2
  • Seasonality estimation;
  • Forecast evaluation and model selection;
  • Forecasting with Prophet;
  • Switch-point Detection;
  • Outlier Detection.

learning journey

Data Science Learning Journey

meet your trainer

Marysia Winkels

Data Scientist

Marysia is a data scientist who is proud to work on any AI application that can provide solutions to real-world problems. She is always eager to learn from, and be inspired by, her peers.

Flexible delivery

The Right Format For Your Preferred Learning Style

In-Classroom & In-Company Training
Online, Instructor-Led Training
Hybrid and Blended Learning
Self-Paced Training
Get in touch with the experts

Have any questions?

Contact Gert-Jan Steltenpool, the sales director of GoDataDriven Academy if you want to know more. He’ll be happy to help you!

You can reach him by phone as well at +31 6 4214 0783

Course: Practical Time Series Analysis & Forecasting Training

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