Analyzing Data with Microsoft Power BI

DA-100

This four-day course will discuss 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 also show how to access and process data from a range of data sources including both relational and non-relational data. This course will also explore how to implement proper security standards and policies across the Power BI spectrum including datasets and groups. The course will also discuss how to manage and deploy reports and dashboards for sharing and content distribution. Finally, this course will show how to build paginated reports within the Power BI service and publish them to a workspace for inclusion within Power BI.

Accredited course for Continuing Education of Pedagogical Staff

Course length: 4 days (08:30 - 16:00)

Dates

01/24/2022 - 01/27/2022 Prague cs Free date
29 100 CZK Add to cart
03/28/2022 - 03/31/2022 Prague cs Free date
29 100 CZK Add to cart
05/23/2022 - 05/26/2022 Prague cs Free date
29 100 CZK Add to cart

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  • Students will be able to

    • 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
  • Course requirements

    Azure Fundamentals

  • This course is intended for

    • 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.
  • Literature

    All participants will get original Microsoft student materials.

  • Hardware

    Classrooms are equipped with high-performance computers with Internet access and the possibility of wireless connection.

  • Syllabus

    Module 1: Get Started with Microsoft Data Analytics

    • Lesson: Data Analytics and Microsoft
    • Lesson: Getting Started with Power BI

    Module 2: Prepare Data in Power BI

    • Lesson: Get data from various data sources
    • Lesson: Optimize performance
    • Lesson: Resolve data errors

    Module 3: Clean, Transform, and Load Data in Power BI

    • Lesson: Data shaping
    • Lesson: Enhance the data structure
    • Lesson: Data Profiling

    Module 4: Design a Data Model in Power BI

    • Lesson: Introduction to data modeling
    • Lesson: Working with tables
    • Lesson: Dimensions and Hierarchies

    Module 5: Create Measures using DAX in Power BI

    • Lesson: Introduction to DAX
    • Lesson: DAX context
    • Lesson: Advanced DAX

    Module 6: Optimize Model Performance

    • Lesson: Optimize the model for performance
    • Lesson: Optimize DirectQuery Models
    • Lesson: Create and manage Aggregations

    Module 7: Create Reports

    • Lesson: Design a report
    • Lesson: Enhance the report

    Module 8: Create Dashboards

    • Lesson: Create a Dashboard
    • Lesson: Real-time Dashboards
    • Lesson: Enhance a Dashboard

    Module 9: Create Paginated Reports in Power BI

    • Lesson: Paginated report overview
    • Lesson: Create Paginated reports

    Module 10: Perform Advanced Analytics

    • Lesson: Advanced Analytics
    • Lesson: Data Insights through AI visuals

    Module 11: Create and Manage Workspaces

    • Lesson: Creating Workspaces
    • Lesson: Sharing and Managing Assets

    Module 12: Manage Datasets in Power BI

    • Lesson: Parameters
    • Lesson: Datasets

    Module 13: Row-level security

    • Lesson: Security in Power BI

     

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