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Analyzing Data 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.

Certifications

This course is part of the following Certifications:

Prerequisites

Successful Data Analysts start this role with experience of working with data in the cloud.

Specifically:

  • 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.

You can gain the prerequisites and a better understanding of working with data in Azure by completing Microsoft Azure Data Fundamentals before taking this course.

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

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 Model Calculations 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 4 days

Price
  • US$ 1,799.—
  • SA Voucher: 4
    hardcoded default SA
Dates and Booking
Classroom Training

Duration 4 days

Price
  • Singapore: US$ 1,799.—
  • SA Voucher: 4
    hardcoded default SA
Dates and Booking

Schedule

English
Time zone: UTC+8
Online Training Time zone: UTC+8
2 hours difference
Online Training Time zone: IST
Online Training Time zone: Australian Eastern Standard Time (AEST)
4 hours difference
Online Training Time zone: Gulf Standard Time (GST)
Online Training This is a FLEX course.
Time zone: Gulf Standard Time (GST)
Online Training This is a FLEX course.
Time zone: Gulf Standard Time (GST)
Online Training This is a FLEX course.
Time zone: Gulf Standard Time (GST)
Online Training This is a FLEX course.
Time zone: Gulf Standard Time (GST)
Online Training This is a FLEX course.
Time zone: Gulf Standard Time (GST)
Online Training This is a FLEX course.
Time zone: Gulf Standard Time (GST)
7 hours difference
Online Training Time zone: British Summer Time (BST)
Online Training This is a FLEX course.
Time zone: British Summer Time (BST)
Online Training This is a FLEX course.
Time zone: British Summer Time (BST)
8 hours difference
Online Training Time zone: Greenwich Mean Time (GMT)
Online Training Time zone: Greenwich Mean Time (GMT)
12 hours difference
Online Training Time zone: Eastern Daylight Time (EDT) Guaranteed date!
Online Training Time zone: Eastern Daylight Time (EDT) Guaranteed date!
13 hours difference
Online Training Time zone: Eastern Standard Time (EST)
Online Training View the exact training days Time zone: Central Daylight Time (CDT) 8 days
Online Training View the exact training days Time zone: Central Daylight Time (CDT) 8 days
Online Training View the exact training days Time zone: Central Daylight Time (CDT) 8 days
Online Training View the exact training days Time zone: Central Daylight Time (CDT) 8 days
Online Training Time zone: Eastern Standard Time (EST)
Online Training Time zone: Eastern Standard Time (EST)
Online Training Time zone: Central Daylight Time (CDT)
+ show all dates
14 hours difference
Online Training View the exact training days Time zone: Central Standard Time (CST) 8 days Guaranteed date!
Online Training View the exact training days Time zone: Central Standard Time (CST) 8 days Guaranteed date!
Online Training Time zone: Central Standard Time (CST)
Online Training Time zone: Central Standard Time (CST)
Online Training Time zone: Central Standard Time (CST)
15 hours difference
Online Training Time zone: Pacific Daylight Time (PDT) Guaranteed date!
Online Training Time zone: Pacific Daylight Time (PDT) Guaranteed date!
16 hours difference
Online Training Time zone: Pacific Standard Time (PST) Guaranteed date!
Online Training Time zone: Pacific Standard Time (PST) Guaranteed date!
Guaranteed date:   iTLS will carry out all guaranteed training regardless of the number of attendees, exempt from force majeure or other unexpected events, like e.g. accidents or illness of the trainer, which prevent the course from being conducted.
Instructor-led Online Training:   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.
Date on request
Asia Pacific
Guaranteed date:   iTLS will carry out all guaranteed training regardless of the number of attendees, exempt from force majeure or other unexpected events, like e.g. accidents or illness of the trainer, which prevent the course from being conducted.
This is a FLEX course, which is delivered both virtually and in the classroom.