Business Teams & Analysts

Machine Learning Without Code

Segmentation, classification and forecasting models with low-code tools, so business teams can run their own analyses.

  • 2–3 days
  • Business units, analysts, specialists
  • On-site or online
  • Certificate of attendance

What you will learn

  • Understand the machine learning process end to end
  • Build segmentation, classification and forecasting models without code
  • Evaluate model results and translate them into business terms
  • Run simple analyses independently within business teams

Course content

  1. Introduction to machine learning and problem framing
  2. Data preparation and exploratory analysis with low-code tools
  3. Customer segmentation (clustering)
  4. Classification and forecasting models
  5. Model evaluation and presenting results

Who should attend

  • Business analysts
  • Marketing, risk and operations teams
  • Specialists who want to analyse data without coding

Prerequisites

Basic Excel and data skills are sufficient.

Course content is tailored to your organisation's needs. All programmes can be delivered on-site at your premises or online. Participants who complete a programme receive a certificate of attendance.

Frequently Asked Questions

Which tools are used?

Low-code data analysis and machine learning tools such as KNIME. The tool is chosen to fit your needs.

Can participants build models afterwards?

They can build and evaluate basic models such as segmentation, classification and forecasting. For critical models going into production, technical team support is recommended.

Can we practise with our own data?

Yes, with anonymised or sample data from your organisation.

Who is it for?

Business analysts and marketing, risk and operations teams who want to analyse data without coding.

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