Opleiding: Data Analysis with Power BI

In the course Data Analysis with Power BI from SpiralTrain participants learn to combine data from various sources and to make data analyzes with interactive dashboards and BI reports.

Power BI Architecture

The course Data Analysis with Power BI starts with an explanation of the architecture of Power BI with Power BI Desktop, Power BI Gateway and Power BI Services and how to create reports with Power BI.

Power BI and Data

Subsequently attention is paid to making connections with data sources such as plain text files, CSV files, SQL Databases, XML data, JSON data and Excel files. It is also discusses how data in the cloud and in online services can be accessed by Power BI.

Power BI Components

The various components that make up Power BI such as Dashboards, Tiles, Power Query, Power Pivot, Power View and Power Map are also treated in the course Data Analysis with Power BI. And the Data Analysis Expressions (DAX) with conditionals, data types and information functions, logical functions and table functions that Power BI has available are reviewed as well.

Data Modeling

Part of the program of the course Data Analysis with Power BI is also Data Modeling in Power BI with relationship detection, calculated columns and tables and DAX formulas and expressions. And attention is paid to the creation and configuration of Dashboards for displaying data.

Filters

Next the various filters that Power BI has to offer are discussed such as Page Level Filters, Report Level Filters and Drill Through Filters and Queries and Slicers in Power BI are treated.

Power BI REST API

Finally the course Data Analysis with Power BI explains and demonstrates the Power BI REST API which provides service endpoints for embedding, administration and user resources.

Audience Course Data Analysis with Power BI

The course Data Analysis with Power BI is intended for data analysts who want to use Power BI to analyze their data and to make statistical analyzes.

Prerequisites Course Data Analysis with Power BI

Experience with Excel is required and experience with programming is beneficial to good understanding but is not required.

Realization Training Data Analysis with Power BI

The theory is discussed on the basis of presentations and examples. The concepts are explained with demos. Then there is time to practice with the theory yourself. Power BI desktop is used as a development environment. Course times are from 9:30 am to 16:30 pm

Certification Course Data Analysis with Power BI

After successful completion of the course participants receive an official certificate Data Analysis with Power BI.

Modules

Module 1 : Power BI Intro

  • What is Power BI?
  • Data Visualization
  • Business Intelligence
  • Installing Power BI
  • Power BI Architecture
  • Power BI Desktop
  • Power BI Gateway
  • Power BI Services
  • Creating Reports
  • Mobile Apps

Module 2 : Data Sources

  • Data Connections
  • Import
  • Direct Query
  • Flat Files
  • CSV Files
  • SQL Databases
  • XML and JSON Data
  • Excel Connections
  • Azure Cloud
  • Online Services

Module 3 : Building Blocks

  • Visualizations
  • Datasets
  • Reports
  • Dashboards
  • Tiles
  • Power BI Components
  • Power Query
  • Power Pivot
  • Power View
  • Power Map

Module 4 : DAX Functions

  • Data Analysis Expressions
  • Conditional Statements
  • Integers and Decimals
  • String and Binary Objects
  • Date and Time Functions
  • Information Functions
  • Logical Functions
  • Statistical Functions
  • Table Functions
  • DAX Context

Module 5 : Data Modeling

  • Information Modeling
  • Navigation
  • Relationships
  • Relationship Detection
  • Calculated Columns
  • DAX Formulas
  • Calculated Tables
  • DAX Expressions
  • Managing Time Data
  • Drill Feature

Module 6 : Dashboards

  • Creating Dashboards
  • Pinning Visualizations
  • Configuring Dashboards
  • Sharing Dashboards
  • Creating Measures
  • Tiles in Dashboard
  • Data Gateway
  • Standard Mode
  • Personal Mode
  • Automatic Updates

Module 7 : Filters

  • Selection Criteria
  • Visual Level Filters
  • Page Level Filters
  • Report Level Filters
  • Drill Through Filters
  • Applying Filters
  • Filter Pane Experience
  • Format Filter Pane
  • Apply Filter in Workspace

Module 8 : Queries and Slicers

  • Query Editor
  • Inquiry Strip
  • Inside Sheet
  • Question Settings Sheet
  • Power BI Slicers
  • Date Slicer
  • Range Slicer
  • Sync Slicers
  • Formatting Slicers

Module 9 : REST API

  • Admin Operations
  • Capacities Operations
  • Dashboards Operations
  • Embed Token Operations
  • Gateways Operations
  • Groups Operations
  • Imports Operations
  • Reports Operations
  • Datasets Operations
Meer...
€1.299
ex. BTW
Aangeboden door
SpiralTrain
Onderwerp
Power BI
Niveau
Duur
2 dagen
Looptijd
12 dagen
Taal
en
Type product
cursus
Lesvorm
Klassikaal
Aantal deelnemers
Max: 12
Tijdstip
Overdag
Tijden en locaties
Amsterdam
do 16 jul. 2026
Eindhoven
do 16 jul. 2026
Houten
do 16 jul. 2026
Rotterdam
do 16 jul. 2026
Utrecht
do 16 jul. 2026
Zwolle
do 16 jul. 2026
Amsterdam
do 17 sep. 2026
Eindhoven
do 17 sep. 2026
Houten
do 17 sep. 2026
Rotterdam
do 17 sep. 2026
Utrecht
do 17 sep. 2026
Zwolle
do 17 sep. 2026
Amsterdam
do 12 nov. 2026
Eindhoven
do 12 nov. 2026
Houten
do 12 nov. 2026
Rotterdam
do 12 nov. 2026
Utrecht
do 12 nov. 2026
Zwolle
do 12 nov. 2026
Amsterdam
do 14 jan. 2027
Eindhoven
do 14 jan. 2027
Houten
do 14 jan. 2027
Rotterdam
do 14 jan. 2027
Utrecht
do 14 jan. 2027
Zwolle
do 14 jan. 2027
Amsterdam
do 11 mrt. 2027
Eindhoven
do 11 mrt. 2027
Houten
do 11 mrt. 2027
Rotterdam
do 11 mrt. 2027
Utrecht
do 11 mrt. 2027
Zwolle
do 11 mrt. 2027
Amsterdam
do 13 mei 2027
Eindhoven
do 13 mei 2027
Houten
do 13 mei 2027
Rotterdam
do 13 mei 2027
Utrecht
do 13 mei 2027
Zwolle
do 13 mei 2027
Amsterdam
do 15 jul. 2027
Eindhoven
do 15 jul. 2027
Houten
do 15 jul. 2027
Rotterdam
do 15 jul. 2027
Utrecht
do 15 jul. 2027
Zwolle
do 15 jul. 2027
Amsterdam
do 16 sep. 2027
Eindhoven
do 16 sep. 2027
Houten
do 16 sep. 2027
Rotterdam
do 16 sep. 2027
Utrecht
do 16 sep. 2027
Zwolle
do 16 sep. 2027
Amsterdam
do 11 nov. 2027
Eindhoven
do 11 nov. 2027
Houten
do 11 nov. 2027
Rotterdam
do 11 nov. 2027
Utrecht
do 11 nov. 2027
Zwolle
do 11 nov. 2027
Amsterdam
do 13 jan. 2028
Eindhoven
do 13 jan. 2028
Houten
do 13 jan. 2028
Rotterdam
do 13 jan. 2028
Utrecht
do 13 jan. 2028
Zwolle
do 13 jan. 2028
Amsterdam
do 16 mrt. 2028
Eindhoven
do 16 mrt. 2028
Houten
do 16 mrt. 2028
Rotterdam
do 16 mrt. 2028
Utrecht
do 16 mrt. 2028
Zwolle
do 16 mrt. 2028
Amsterdam
do 11 mei 2028
Eindhoven
do 11 mei 2028
Houten
do 11 mei 2028
Rotterdam
do 11 mei 2028
Utrecht
do 11 mei 2028
Zwolle
do 11 mei 2028
Amsterdam
do 13 jul. 2028
Eindhoven
do 13 jul. 2028
Houten
do 13 jul. 2028
Rotterdam
do 13 jul. 2028
Utrecht
do 13 jul. 2028
Zwolle
do 13 jul. 2028
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