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In the course Data Analysis with Power BI participants learn to combine data from various sources and to make data analyzes with interactive dashboards and BI reports. Power BI is a Data Visualization and Business Intelligence Tool (BI) and offers various connectors and services with which users can read data and create BI reports.
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.
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.
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.
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.
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.
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.
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.
Experience with Excel is required and experience with programming is beneficial to good understanding but is not required.
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
After successful completion of the course participants receive an official certificate Data Analysis with Power BI.
Module 1 : Power BI Intro
Module 2 : Data Sources
Module 3 : Building Blocks
What is Power BI?
Installing Power BI
Power BI Architecture
Power BI Desktop
Power BI Gateway
Power BI Services
XML and JSON Data
Power BI Components
Module 4 : DAX Functions
Module 5 : Data Modeling
Module 6 : Dashboards
Data Analysis Expressions
Integers and Decimals
String and Binary Objects
Date and Time Functions
Managing Time Data
Tiles in Dashboard
Module 7 : Filters
Module 8 : Queries and Slicers
Module 9 : REST API
Visual Level Filters
Page Level Filters
Report Level Filters
Drill Through Filters
Filter Pane Experience
Format Filter Pane
Apply Filter in Workspace
Question Settings Sheet
Power BI Slicers
Embed Token Operations
All our courses are classroom courses in which the students are guided through the material on the basis of an experienced trainer with in-depth material knowledge. Theory is always interspersed with exercises.
We also do custom classes and then adjust the course content to your wishes. On request we will also discuss your practical cases.
The course times are from 9.30 to 16.30. But we are flexible in this. Sometimes people have to bring children to the daycare and other times are more convenient for them. In good consultation we can then agree on different course times.
We take care of the computers on which the course can be held. The software required for the course has already been installed on these computers. You do not have to bring a laptop to participate in the course. If you prefer to work on your own laptop, you can take it with you if you wish. The required software is then installed at the start of the course.
Our courses are generally given with Open Source software such as Eclipse, IntelliJ, Tomcat, Pycharm, Anaconda and Netbeans. You will receive the digital course material to take home after the course.
The course includes lunch that we use in a restaurant within walking distance of the course room.
The courses are planned at various places in the country. A course takes place at a location if at least 3 people register for that location. If there are registrations for different locations, the course will take place at our main location, Houten which is just below Utrecht. A course at our main location also takes place with 2 registrations and regularly with 1 registration. And we also do courses at the customer’s location if they appreciate that.
At the end of each course, participants are requested to evaluate the course in terms of course content, course material, trainer and location. The evaluation form can be found at https://www.klantenvertellen.nl/reviews/1039545/spiraltrain?lang=en. The evaluations of previous participants and previous courses can also be found there.
The intellectual property rights of the published course content, also referred to as an information sheet, belong to SpiralTrain. It is not allowed to publish the course information, the information sheet, in written or digital form without the explicit permission of SpiralTrain. The course content is to be understood as the description of the course content in sentences as well as the division of the course into modules and topics in the modules.