ChatGPT data analysis

How do you clean and analyse a table with ChatGPT data analysis?

  • ChatGPT

1250 € per session, excl. VAT

In short

Participants learn to leverage ChatGPT's built-in data analysis feature for cleaning and analyzing tabular data. The course aims to identify, harmonize, and aggregate data. By the end, they produce a cleaned file, numerical checks, and three commented graphs, enabling efficient data management and informed decision-making.

Why this training?

The problem
Fragmented uses and results that are hard to verify.
What it costs today
Manual rework and decisions based on incomplete information.
Why this skill
A cleaned table and analysis checked against original data.
What you gain
A cleaned table and analysis checked against original data.

Objectives of this training

  • Identify columns, units and duplicates.
  • Standardise dates and categories in a copy.
  • Calculate aggregates and variances.
  • A cleaned table and analysis checked against original data.

Who is it for and what are the prerequisites?

Roles and tasks concerned

  • Professionals seeking hands-on practice with a specific use case

Prior skills

  • AI Fundamentals and AI Prompting completed, or equivalent experience (a learning prerequisite, not a registration condition).
  • Have practised: Understand ChatGPT and get started, or have equivalent skills. Authorised ChatGPT account; check Projects, files, Canvas, images and research before the session. Limits and quotas depend on plan; use fictional or authorised documents and human review.
  • A paid subscription to an AI solution offering the features used, the organisation’s authorisation for third-party tools, and the actual accounts and access rights.

To prepare before the session

  • Authorised ChatGPT account; check Projects, files, Canvas, images and research before the session. Limits and quotas depend on plan; use fictional or authorised documents and human review.

What you will work on

  1. Diagnose

    Identify columns, units and duplicates.

  2. Clean

    Standardise dates and categories in a copy.

  3. Analyse

    Calculate aggregates and variances.

  4. Check

    Reconcile totals with the source file.

What you take away

  • A cleaned file, numeric checks and three annotated charts.

Method and assessment

  • Demonstration of available features, guided exercises and an independent case.
  • Peer review of the deliverable and correction against original sources.

The participant presents the stated deliverable, justifies sources and permissions, identifies and corrects an error and explains limitations. Assessment rubric: accuracy, traceability, access control and handover to a colleague.

Frequently asked questions

What concrete outcome is assessed?

A cleaned table and analysis checked against original data.

What access is needed before the session?

Authorised ChatGPT account; check Projects, files, Canvas, images and research before the session. Limits and quotas depend on plan; use fictional or authorised documents and human review.

Which step should come before this course?

Have practised: Understand ChatGPT and get started, or have equivalent skills.

How are data protected and results validated?

Use fictional, anonymised or explicitly authorised data. Your organisation’s designated person checks sources, rights and results before use; subscriptions and external access are not assumed to be included.

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