Price

885 € / 22 125 Kč

Duration

3 days

Delivery Methods

VILT / Private Group

This course covers the various methods and best practices that are in line with business and technical requirements for modeling, visualizing, and analyzing data with Power BI. The course will show how to access and process data from a range of data sources including both relational and non-relational sources. Finally, this course will also discuss how to manage and deploy reports and dashboards for sharing and content distribution.

Upcoming Class Dates and Times

Start Date Location Delivery Price
Wed 24.07.2024 15:00 CET Prague, Czech Republic VILT G2R English
22,125.00 Kč
Mon 05.08.2024 15:00 CET Prague, Czech Republic VILT G2R English
22,125.00 Kč
Wed 21.08.2024 15:00 CET Prague, Czech Republic VILT G2R English
22,125.00 Kč
Wed 04.09.2024 15:00 CET Prague, Czech Republic VILT G2R English
22,125.00 Kč
Mon 16.09.2024 15:00 CET Prague, Czech Republic VILT G2R English
22,125.00 Kč
Wed 02.10.2024 15:00 CET Prague, Czech Republic VILT G2R English
22,125.00 Kč
Mon 14.10.2024 15:00 CET Prague, Czech Republic VILT G2R English
22,125.00 Kč
Mon 28.10.2024 15:00 CET Prague, Czech Republic VILT G2R English
22,125.00 Kč
Wed 13.11.2024 15:00 CET Prague, Czech Republic VILT G2R English
22,125.00 Kč
Mon 25.11.2024 15:00 CET Prague, Czech Republic VILT G2R English
22,125.00 Kč
Mon 09.12.2024 15:00 CET Prague, Czech Republic VILT G2R English
22,125.00 Kč
Wed 18.12.2024 15:00 CET Prague, Czech Republic VILT G2R English
22,125.00 Kč

Delivery methods

VILT LIVE Virtual Instructor-Led Training (VILT)

TILT Traditional Instructor-Led Training (TILT)

G2R Guaranteed to Run Class

Who Should Attend

The audience for this course are data professionals and business intelligence professionals who want to learn how to accurately perform data analysis using Power BI. This course is also targeted toward those individuals who develop reports that visualize data from the data platform technologies that exist on both in the cloud and on-premises.

Prerequisites

  • Understanding core data concepts.
  • Knowledge of working with relational data in the cloud.
  • Knowledge of working with non-relational data in the cloud.
  • Knowledge of data analysis and visualization concepts.
  • DP-900T00: Azure Data Fundamentals is recommended

Course Objectives

  • Ingest, clean, and transform data
  • Model data for performance and scalability
  • Design and create reports for data analysis
  • Apply and perform advanced report analytics
  • Manage and share report assets
  • Create paginated reports in Power BI

Agenda

  1. Get Started with Microsoft Data Analytics
    • Data Analytics and Microsoft
    • Getting Started with Power BI
  2. Getting Data in Power BI
    • Data Analytics and Microsoft
    • Optimize Performance
    • Resolve Data Errors
  3. Cleaning, Transforming, and Loading Data in Power BI
    • Shaping the Data
    • Profiling the Data
    • Enhance the data structure
  4. Design a Data Model in Power BI
    • Introduction to data modeling
    • Working with tables
    • Dimensions and Hierarchies
  5. Create Model Calculations using DAX in Power BI
    • Introduction to DAX
    • Real-time dashboards
    • Advanced DAX
  6. Optimize Model Performance in Power BI
    • Optimize the data model for performance
    • Optimize DirectQuery Models
  7. Create Reports in Power BI
    • Design a report
    • Enhance the report
  8. Create Dashboards in Power BI
    • Create a Dashboard
    • Real-time Dashboards
    • Enhance a Dashboard
  9. Identify Patterns and Trends in Power BI
    • Advanced Analytics
    • Data Insights through AI visuals
  10. 1Create and Manage Workspaces in Power BI
    • Creating Workspaces
    • Sharing and Managing Assets
  11. 1Manage Files and Datasets in Power BI
    • Parameters
    • Datasets
  12. Row-level Security in Power BI
    • Security in Power BI