IT & Tech

Data Analysis with Generative AI: Interpret, Clean, Analyse and Visualise.

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Bonnier Akademi
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This course is about how you can use generative AI effectively to analyse and visualise different types of datasets. You will learn how to prepare and clean data, identify trends and visualise the results. We also go through how you can use generative AI for data collection and research, and which tools are best suited for different purposes. The course is primarily aimed at you who are new to AI-driven analysis but have experience of data analysis.

Format: On site
Language: Swedish
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About the course.

This course is about how you can use generative AI effectively to analyse and visualise different types of datasets. You will learn how to prepare and clean data, identify trends and visualise the results. We also go through how you can use generative AI for data collection and research, and which tools are best suited for different purposes. The course is primarily aimed at you who are new to AI-driven analysis but have experience of data analysis.

This course focuses on how to use generative AI and various tools to analyse different types of datasets. During the course you will get an introduction to generative AI and learn what is possible in AI-driven data and analysis. The course also focuses on how to interpret, clean and analyse data to identify trends and insights with AI. You will also gain practical experience of visualising data with the help of AI tools and carrying out research and data collection with the support of generative AI. COURSE OBJECTIVES: As a participant you will: - Understand basic concepts and techniques in generative AI - Become familiar with AI tools for analysing and visualising data - Handle and analyse different types of datasets with AI - Identify trends and insights with generative AI - Visualise data effectively with generative AI tools - Carry out research and data collection with the support of generative AI - Build a solid foundation for integrating generative AI into professional workflows During the course we use the paid version of Claude. To access all features you need such an account when you take the course. Booked participants receive more information in the joining instructions one week before the course starts.

What you will learn

What you learn.

  • Introduction to generative AI and how it can be used for data analysis
  • Using AI tools such as ChatGPT for data analysis and collection
  • Preparing, interpreting and cleaning data with generative AI
  • Identifying trends and insights in different types of datasets
  • Visualising data with generative AI
  • Which AI tools suit which purpose
  • Carrying out research and data collection with generative AI
Curriculum

How the course is built.

  1. Introduction to generative AI

    Introduction to generative AI with an overview of the course objectives and content How generative AI works and its applications in data analysis What is possible in AI-driven analysis

  2. Analysing different datasets

    Basic principles of analysis with AI Introduction to AI tools for analysis and data visualisation Data preparation: interpreting and cleaning a dataset with AI Practical exercises: Preparing and analysing data with AI

  3. Identifying and visualising trends and insights with generative AI

    Analysing and communicating with data Analysing and interpreting visualised data Practical exercises: Analyse and visualise data with generative AI

  4. Research and data collection with the help of generative AI

    Methods for research and data collection with generative AI Using ChatGPT and other AI tools Practical exercises: Collecting and analysing data with generative AI

Target audience

Who is this for?

- Beginners in analysis with AI, but not in data analysis - No prior programming knowledge is required

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