AI & Data

Power BI Training

This training is intended for people who work with processing and analyzing large amounts of data.

Duration
6h
Who it's for

Ideal for teams that…

1 Analysts, marketers, and everyone working with data
2 People dealing with large-scale data processing and analysis
3 Anyone who wants to learn the DAX library
Outcomes after the program

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

Program · 6 modules

What we actually do

M01
Module 1: Introduction to Data Analysis with Power BI Desktop
  • · 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
M02
Module 2: PowerQuery – Data Preparation Tool
  • · 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
M03
Module 3: Data Modeling in Power BI
  • · 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
M04
Module 4: Data Analysis with DAX
  • · 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
M05
Module 5: Storytelling with Data – Visualization Techniques
  • · 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
M06
Module 6: Publishing and Sharing Reports
  • · 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
Every module is adapted to your stack and context. The above is a starting point — not a fixed agenda.
How we work

From brief to retro in 30 days.

01

Brief & diagnosis

A call with the team lead + a short survey for participants. We define goals, gap and context.

02

Program customization

We adapt modules, case studies and code examples to your stack. Approval in 5 days.

03

Workshop

Trainer-led sessions, hands-on, code review. Mentor available between sessions too.

04

Retro + report

Outcome report for the team and lead. 30 days of consulting included.

Inquiry

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.

Quote within 48h of the brief
First session within 30 days
Pilot before the full decision
VAT invoice, payment in instalments possible

Ochrona antyspamowa (Cloudflare Turnstile) zostanie aktywowana po wpięciu klucza.