DA-100T00-A: Analyzing Data with Power BI

4 Days / Nivel: Intermediate

Job role: Data Analyst

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.

Audience profile

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

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.

Course outline

Lessons

  • Data Analytics and Microsoft
  • Getting Started with Power BI

Lab : Getting Started

  • Getting Started

Lesson

  • Prepare data
  • Get data from various data sources
  • Optimize performance
  • Resolve data errors

Lab : Preparing Data in Power BI Desktop

  • Prepare Data

Lessons

  • Data shaping
  • Enhance the data structure
  • Data Profiling

Lab : Transforming and Loading Data

  • Loading Data

Lessons

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

Lab : Data Modeling in Power BI Desktop

  • Create Model Relationships
  • Configure Tables
  • Review the model interface
  • Create Quick Measures

Lab : Advanced Data Modeling in Power BI Desktop

  • Configure many-to-many relationships
  • Enforce row-level security

Lessons

  • Introduction to DAX
  • DAX context
  • Advanced DAX

Lab : Introduction to DAX in Power BI Desktop

  • Create calculated tables
  • Create calculated columns
  • Create measures

Lab : Advanced DAX in Power BI Desktop

  • Use the CALCULATE() function to manipulate filter context
  • use Time Intelligence functions

Lessons

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

After completing this module, you will be able to:

  • Understand the importance of variables
  • Enhance the data model
  • Optimize the storage model
  • Implement aggregations

Lessons

  • Design a report
  • Enhance the report

Lab : Designing a report in Power BI

  • Create a live connection in Power BI Desktop
  • Design a report
  • Configure visual fields adn format properties

Lab : Enhancing Power BI reports with interaction and formatting

  • Create and configure Sync Slicers
  • Create a drillthrough page
  • Apply conditional formatting
  • Create and use Bookmarks

Lessons

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

Lab : Designing a report in Power BI Desktop – Part 1

  • Create a Dashboard
  • Pin visuals to a Dashboard
  • Configure a Dashboard tile alert
  • Use Q&A to create a dashboard tile

Lessons

  • Paginated report overview
  • Create Paginated reports

Lab : Creating a Paginated report

  • Use Power BI Report Builder
  • Design a multi-page report layout
  • Define a data source
  • Define a dataset
  • Create a report parameter
  • Export a report to PDF

After completing this module, you will be able to:

  • Explain paginated reports
  • Create a paginated report
  • Create and configure a data source and dataset
  • Work with charts and tables
  • Publish a report

Lessons

  • Advanced Analytics
  • Data Insights through AI visuals

Lab : Data Analysis in Power BI Desktop

  • Create animated scatter charts
  • Use teh visual to forecast values
  • Work with Decomposition Tree visual
  • Work with the Key Influencers visual

After completing this module, you will be able to:

  • Explore statistical summary
  • Use the Analyze feature
  • Identify outliers in data
  • Conduct time-series analysis
  • Use the AI visuals
  • Use the Advanced Analytics custom visual

Lessons

  • Creating Workspaces
  • Sharing and Managing Assets

Lab : Publishing and Sharing Power BI Content

  • Map security principals to dataset roles
  • Share a dashboard
  • Publish an App

After completing this module, you will be able to:

  • Create and manage a workspace
  • Understand workspace collaboration
  • Monitor workspace usage and performance
  • Distribute an App

Lessons

  • Parameters
  • Datasets

After completing this module, you will be able to:

  • Create and work with parameters
  • Manage datasets
  • Configure dataset refresh
  • Troubleshoot gateway connectivity

Lessons

  • Security in Power BI

After completing this module, you will be able to:

  • Understand the aspects of Power BI security
  • Configure row-level security roles and group membershi

Fecha

19 - 22 Abr 2021

Hora

Tiempo de México
8:00 am - 3:00 pm

Hora local

  • Zona horaria: America/New_York
  • Fecha: 19 - 22 Abr 2021
  • Hora: 9:00 am - 4:00 pm

Costo

MXN7,450.00

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Categoría
Juan Vazquez

Organizador

Juan Vazquez

Instructor Certificado en Power BI MCT Microsoft mas datos mas datos

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Daniel Leija
Daniel Leija
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