Ideal for teams that…
Hands-on AI and data analytics workshops — built around your team's real cases.
Efficiently acquire and process data for business decision-making
Work with PowerQuery and data preparation techniques
Learn the terminology and tools necessary to extract information from databases and present it in Power BI
Use the DAX library for reporting and data analysis
Tell stories with data using visualization techniques
What we actually do
- · What is business intelligence?
- · The 5 layers of a BI solution
- · Power BI as a business intelligence tool
- · Power BI Desktop – overview and user interface
- · Using data connectors: Web, CSV, Excel, SQL
- · Combining multiple data sources in a single report
- · Extract, Transform, Load (ETL) concepts
- · Basic transformation functions
- · Merging and appending queries
- · Creating custom functions
- · Introduction to the M language
- · Using the Advanced Editor
- · Best practices in data preparation
- · Dataflows – PowerQuery Online
- · Query folding in PowerQuery
- · Star schema and snowflake schema
- · Preparing fact and dimension tables with PowerQuery
- · Building a calendar table
- · Working with hierarchies in Power BI
- · Best practices in data modeling
- · Analyzing model performance
- · Imported vs DirectQuery reports
- · Introduction to DAX
- · Calculated columns, calculated tables, measures, and queries
- · Basic DAX functions
- · Iterators in DAX
- · Row context, evaluation context, and filter context
- · Changing calculation context with CALCULATE()
- · Advanced time intelligence functions
- · Best practices for writing advanced DAX queries
- · Storytelling with data – concepts and principles
- · Correct use of visualization types
- · Working with visualizations in Power BI
- · Filtering data at the visualization level
- · Managing interactions between visualizations
- · Advanced formatting of reports and visuals
- · Drill-through functionality
- · Using bookmarks in report building
- · Working with field parameters
- · Using tooltips for additional insights
- · Best practices for visualization design
- · Introduction to Power BI Service
- · Publishing rules and best practices
- · Data security: Row Level Security (RLS) and Object Level Security (OLS)
- · Refreshing data in Power BI Service
- · Using Power Automate to streamline workflows with Power BI
From brief to retro in 30 days.
Brief & diagnosis
A call with the team lead + a short survey for participants. We define goals, gap and context.
Program customization
We adapt modules, case studies and code examples to your stack. Approval in 5 days.
Workshop
Trainer-led sessions, hands-on, code review. Mentor available between sessions too.
Retro + report
Outcome report for the team and lead. 30 days of consulting included.
Send a brief. We'll reply within 1 day.
After a short brief we'll prepare a program and a quote. No obligations — it's just a starting point.
Thank you!
We'll get back to you within 1 business day.
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