Data, machine learning and deep learning
AI for data analysis course (no data science needed)
Draw conclusions from your data with AI, even if you are not a data scientist.
You do not need to be a data scientist to draw conclusions from data. AI assistants let you ask questions in natural language, clean data, generate charts and write SQL queries that used to require a specialist.
This course teaches you to do it well: framing good questions, preparing the data, choosing the right visualisation and, above all, interpreting critically, because AI also gets numbers wrong. It is the entry point to the data area for business profiles.
What you will learn
- Analyse data by asking questions in natural language
- Clean and prepare data with AI help
- Create visualisations that tell a story
- Generate SQL queries and BI measures with assistants
- Interpret results critically
Syllabus
6 modules, from the fundamentals to the final project.
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Data and AI for non-specialists
- What AI can do with your data
- Typical errors and how to spot them
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Asking the data
- Analysing files with AI assistants
- Framing good business questions
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Preparing data
- Cleaning, duplicates and formats
- Joining sources
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Visualising
- Choosing the right chart
- From chart to message
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SQL and BI with help
- Generated and reviewed SQL queries
- Copilot in Power BI and DAX measures
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Interpreting
- Correlation and causation
- Sample size and outliers
- Communicating uncertainty
Tools you will practise with
- ChatGPT (data analysis), Claude or Gemini
- Excel
- Power BI with Copilot
- SQL
Hands-on project
You use AI to analyse a dataset from your area, from cleaning to a short visual report with conclusions and recommendations, documenting how you checked each result.
Requirements
- Spreadsheet skills.
Other courses
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Computer vision with AI course
Teaching machines to see: inspection, counting, reading documents and more.
- Duration: 20 hours
- Level: Advanced
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Deep learning with PyTorch course
Understand and build modern neural networks, from tensors to transformers.
- Duration: 30 hours
- Level: Advanced
-
Demand forecasting and time series course
Anticipate demand, sales or consumption with models you can explain.
- Duration: 16 hours
- Level: Intermediate
Where it is applied
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Automated reports, summaries and reporting
We use AI to turn scattered information into clear reports, executive summaries and recurring reporting ready for review.
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AI customer review and feedback analysis
We read every review, survey and comment from your customers, classify them by topic and sentiment and tell you what is changing.
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Natural language data queries with AI
Anyone on the team asks the company's data questions in their own words and gets the figure, table or chart back, with the query on show so it can be checked.
Want this course for your team?
We adapt the content, length and format to your company.