AIcademy
AI for Data Analytics and Business Intelligence
Description:
Get hands-on with AI tools like ChatGPT, Microsoft Copilot, Gemini, Claude, and LLaMA. Learn how to write effective prompts yourself and use these tools for tasks you perform every day for work.
Learning objectives:
Briefly explore basic principles of AI and language models.
Formulate effective prompts for practical work applications.
Practice yourself with AI tools for writing, summarizing documents and brainstorming
For whom: Anyone who wants to use AI practically to work more efficiently.
Introduction
In this AI training, you will learn how AI tools can be used to analyze data faster and smarter, recognize trends and create visualizations — without the need for programming knowledge. By combining AI with familiar BI tools such as Excel, Power BI and Qlik, participants will learn how to accelerate and enrich daily data work. This training is ideal for professionals who regularly work with data and are looking for smart support for analysis and reporting.
What you will learn during this training
1. AI for Data Insight: How Language Models Help You Analyze and Interpret
Participants will explore how large language models (LLMs) such as ChatGPT, Claude and Gemini can be used to analyze datasets and generate summaries. Think of automatically recognizing striking values, trends, correlations or outliers, and formulating explanations for what the data shows.
Summarizing raw datasets or tables via a language model
Asking AI questions about a dataset in natural language
Automatically generate textual insights for reporting
2. Working with Copilot in Excel: AI in your spreadsheets
With Microsoft Copilot in Excel, participants will discover how AI can write formulas, clean data, and generate visualizations. No more searching for complicated formulas — Copilot helps you get clear insights directly from your data.
Automatically write or translate formulas into natural language
Generating graphs based on prompts
Summarize data by column or category
3. AI in Power BI and Qlik: visual dashboards with smart support
In this section, participants will learn how to integrate AI tools into Power BI and Qlik to build dashboards, generate explainable insights, and make recommendations based on the data. They will also explore the capabilities of AI-powered question functions such as “Ask your data.”
Using AI within Power BI for insights and recommendations
Connect AI chat features to dashboards for explanation and depth
Enrich visualizations with generated explanatory texts
4. Smart analytics and decision support with AI
Finally, we will look at how AI can help suggest next steps based on data analysis. Participants will learn how to use prompts or predefined flows to generate follow-up actions, such as policy recommendations, process improvement or customer approach.
Next-step suggestions based on analysis
Using AI for evaluations and strategic reflection
Combining AI with internal KPIs and reporting
Approach and working methods
The training is practically designed: participants actively work with their own or sample data, and practice with prompts, AI interfaces and BI tools. There is room for questions, sharing your own examples, and applying insights to your own work practice.
For whom
This training is suitable for professionals who regularly work with data in, for example, policy, business operations, marketing, HR or finance, and who want to use AI to gain insights and better substantiation faster — without having to program themselves.
Interested in this training?
Feel free to contact us. We are happy to think along with you about a suitable solution for your team or organization.
AI for Data Analytics and Business Intelligence
Introduction
In this AI training, you will learn how AI tools can be used to analyze data faster and smarter, recognize trends and create visualizations — without the need for programming knowledge. By combining AI with familiar BI tools such as Excel, Power BI and Qlik, participants will learn how to accelerate and enrich daily data work. This training is ideal for professionals who regularly work with data and are looking for smart support for analysis and reporting.
What you will learn during this training
1. AI for Data Insight: How Language Models Help You Analyze and Interpret
Participants will explore how large language models (LLMs) such as ChatGPT, Claude and Gemini can be used to analyze datasets and generate summaries. Think of automatically recognizing striking values, trends, correlations or outliers, and formulating explanations for what the data shows.
Summarizing raw datasets or tables via a language model
Asking AI questions about a dataset in natural language
Automatically generate textual insights for reporting
2. Working with Copilot in Excel: AI in your spreadsheets
With Microsoft Copilot in Excel, participants will discover how AI can write formulas, clean data, and generate visualizations. No more searching for complicated formulas — Copilot helps you get clear insights directly from your data.
Automatically write or translate formulas into natural language
Generating graphs based on prompts
Summarize data by column or category
3. AI in Power BI and Qlik: visual dashboards with smart support
In this section, participants will learn how to integrate AI tools into Power BI and Qlik to build dashboards, generate explainable insights, and make recommendations based on the data. They will also explore the capabilities of AI-powered question functions such as “Ask your data.”
Using AI within Power BI for insights and recommendations
Connect AI chat features to dashboards for explanation and depth
Enrich visualizations with generated explanatory texts
4. Smart analytics and decision support with AI
Finally, we will look at how AI can help suggest next steps based on data analysis. Participants will learn how to use prompts or predefined flows to generate follow-up actions, such as policy recommendations, process improvement or customer approach.
Next-step suggestions based on analysis
Using AI for evaluations and strategic reflection
Combining AI with internal KPIs and reporting
Approach and working methods
The training is practically designed: participants actively work with their own or sample data, and practice with prompts, AI interfaces and BI tools. There is room for questions, sharing your own examples, and applying insights to your own work practice.
For whom
This training is suitable for professionals who regularly work with data in, for example, policy, business operations, marketing, HR or finance, and who want to use AI to gain insights and better substantiation faster — without having to program themselves.
Interested in this training?
Feel free to contact us. We are happy to think along with you about a suitable solution for your team or organization.
Description:
Learn how to use AI tools like Copilot in Excel, ChatGPT, Gemini, Claude, and AI integrations in Power BI, Tableau, or Qlik to analyze data faster, generate insights, and build visualizations.
Learning objectives:
Analyze, summarize and interpret data using LLMs.
Automatically generate formulas and graphs in Excel with Copilot.
Let AI suggest relevant analyses and next steps.
Use AI in Power BI, Tableau and Qlik for visual dashboards and explanatory insights.
For whom: Professionals who want to use AI to work smarter with data, without writing code.
AI for Data Analytics and Business Intelligence
Description:
Get hands-on with AI tools like ChatGPT, Microsoft Copilot, Gemini, Claude, and LLaMA. Learn how to write effective prompts yourself and use these tools for tasks you perform every day for work.
Learning objectives:
Briefly explore basic principles of AI and language models.
Formulate effective prompts for practical work applications.
Practice yourself with AI tools for writing, summarizing documents and brainstorming
For whom: Anyone who wants to use AI practically to work more efficiently.
Introduction
In this AI training, you will learn how AI tools can be used to analyze data faster and smarter, recognize trends and create visualizations — without the need for programming knowledge. By combining AI with familiar BI tools such as Excel, Power BI and Qlik, participants will learn how to accelerate and enrich daily data work. This training is ideal for professionals who regularly work with data and are looking for smart support for analysis and reporting.
What you will learn during this training
1. AI for Data Insight: How Language Models Help You Analyze and Interpret
Participants will explore how large language models (LLMs) such as ChatGPT, Claude and Gemini can be used to analyze datasets and generate summaries. Think of automatically recognizing striking values, trends, correlations or outliers, and formulating explanations for what the data shows.
Summarizing raw datasets or tables via a language model
Asking AI questions about a dataset in natural language
Automatically generate textual insights for reporting
2. Working with Copilot in Excel: AI in your spreadsheets
With Microsoft Copilot in Excel, participants will discover how AI can write formulas, clean data, and generate visualizations. No more searching for complicated formulas — Copilot helps you get clear insights directly from your data.
Automatically write or translate formulas into natural language
Generating graphs based on prompts
Summarize data by column or category
3. AI in Power BI and Qlik: visual dashboards with smart support
In this section, participants will learn how to integrate AI tools into Power BI and Qlik to build dashboards, generate explainable insights, and make recommendations based on the data. They will also explore the capabilities of AI-powered question functions such as “Ask your data.”
Using AI within Power BI for insights and recommendations
Connect AI chat features to dashboards for explanation and depth
Enrich visualizations with generated explanatory texts
4. Smart analytics and decision support with AI
Finally, we will look at how AI can help suggest next steps based on data analysis. Participants will learn how to use prompts or predefined flows to generate follow-up actions, such as policy recommendations, process improvement or customer approach.
Next-step suggestions based on analysis
Using AI for evaluations and strategic reflection
Combining AI with internal KPIs and reporting
Approach and working methods
The training is practically designed: participants actively work with their own or sample data, and practice with prompts, AI interfaces and BI tools. There is room for questions, sharing your own examples, and applying insights to your own work practice.
For whom
This training is suitable for professionals who regularly work with data in, for example, policy, business operations, marketing, HR or finance, and who want to use AI to gain insights and better substantiation faster — without having to program themselves.
Interested in this training?
Feel free to contact us. We are happy to think along with you about a suitable solution for your team or organization.
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