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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

Price (excl. tax)
  • 2,590.- €
Digital courseware

Courseware language: English

Classroom Training

Duration 5 days

Price (excl. tax)
  • Germany: 2,590.- €
incl. catering
Catering includes:

  • Coffee, Tea, Juice, Water, Soft drinks
  • Pastry and Sweets
  • Fresh fruits
  • Lunch in a nearby restaurant

* Catering information only valid for courses delivered by Fast Lane.


Digital courseware

Courseware language: English

Schedule

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. All FLEX courses are also Instructor-led Online Trainings (ILO).
English
Time zone CEST
17/08/2020 ― 21/08/2020 Online Training Time zone: CEST
12/10/2020 ― 16/10/2020 Online Training Time zone: CEST
09/11/2020 ― 13/11/2020 Online Training Time zone: CET
30/11/2020 ― 04/12/2020 Online Training Time zone: CET
1 hour difference
14/09/2020 ― 18/09/2020 Online Training Time zone: EEST
2 hours difference
19/07/2020 ― 23/07/2020 Online Training Time zone: UTC+4
04/10/2020 ― 08/10/2020 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
3 hours difference
17/01/2021 ― 21/01/2021 Online Training Time zone: UTC+4
28/11/2021 ― 02/12/2021 Online Training Time zone: UTC+4
This is a FLEX course, which is delivered both virtually and in the classroom. All FLEX courses are also Instructor-led Online Trainings (ILO).
Germany
21/09/2020 ― 24/09/2020 Hamburg 4 days
19/10/2020 ― 22/10/2020 Stuttgart 4 days
16/11/2020 ― 19/11/2020 Düsseldorf 4 days
14/12/2020 ― 17/12/2020 Frankfurt 4 days
Switzerland
03/08/2020 ― 07/08/2020 Basel
03/08/2020 ― 07/08/2020 Bern
03/08/2020 ― 07/08/2020 Zurich
31/08/2020 ― 04/09/2020 Basel
31/08/2020 ― 04/09/2020 Bern
31/08/2020 ― 04/09/2020 Zurich
28/09/2020 ― 02/10/2020 Basel
28/09/2020 ― 02/10/2020 Bern