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Data Analysis with Microsoft Power BI (DA-100T00)

 

Course Overview

This 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.

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

In addition to their professional experience, students who take this training should have technical knowledge equivalent to the information found in the Azure Fundamentals course.

Course Objectives

After completing this course, you 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 Content

  • Get Started with Microsoft Data Analytics
  • Prepare Data in Power BI
  • Clean, Transform, and Load Data in Power BI
  • Design a Data Model in Power BI
  • Create Measures using DAX in Power BI
  • Optimize Model Performance
  • Create Reports
  • Create Dashboards
  • Create Paginated Reports in Power BI
  • Perform Advanced Analytics
  • Create and Manage Workspaces
  • Manage Datasets in Power BI
  • Row-level security
Online Training

Duration 5 days

Classroom Training

Duration 5 days

Schedule

English
Time zone +04
19/07/2020 ― 23/07/2020 Online Training Time zone: UTC+4
04/10/2020 ― 08/10/2020 Online Training Time zone: UTC+4
17/01/2021 ― 21/01/2021 Online Training Time zone: UTC+4
16/05/2021 ― 20/05/2021 Online Training Time zone: UTC+4
29/08/2021 ― 02/09/2021 Online Training Time zone: UTC+4
28/11/2021 ― 02/12/2021 Online Training Time zone: UTC+4
1 hour difference
14/09/2020 ― 18/09/2020 Online Training Time zone: EEST
2 hours difference
17/08/2020 ― 21/08/2020 Online Training Time zone: CEST
12/10/2020 ― 16/10/2020 Online Training Time zone: CEST
3 hours difference
09/11/2020 ― 13/11/2020 Online Training Time zone: CET
30/11/2020 ― 04/12/2020 Online Training Time zone: CET
This computer icon in the schedule indicates that this date/time will be conducted as Instructor-Led Online Training.
This is a FLEX course, which is delivered both virtually and in the classroom.
Middle East
This is a FLEX course, which is delivered both virtually and in the classroom.