Analyzing Data with Power BI

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.

Duration

04 days

Objectives

After completing this course, 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

Intended Audience

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.

Job role: Data Analyst

Preparation for exam: DA-100

Features: none

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 Outline

Module 1: Get Started with Microsoft Data Analytics

This module explores the different roles in the data space, outlines the important roles and responsibili­ties of a Data Analysts, and then explores the landscape of the Power BI portfolio.

Module Objectives:

At the end of this module, the students will be able to:

  • Identify the different roles in the data space
  • Identify the tasks that are performed by a Data Analyst
  • Describe the Power BI landscape of products and services
  • Tour the Power BI Service

Module 2: Prepare Data in Power BI

This module explores identifying and retrieving data from various data sources. You will also learn the options for connectivity and data storage, and understand the difference and performance implications of importing or connecting directly to data.

Module Objectives:

At the end of this module, the students will be able to:

  • Identify and retrieve data from different data sources
  • Understand the different connection methods and their performance implications
  • Optimize query performance
  • Resolve data import errors

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

This module teaches you the process of profiling and understanding the condition of the data. They will learn how to identify anomalies, look at the size and shape of their data, and perform the proper data cleaning and transforming steps to prepare the data for loading into the model.

Module Objectives:

At the end of this module, the students will be able to:

  • Apply data shape transformations
  • Enhance the data structure
  • Profile and examine the data

Module 4: Design a Data Model in Power BI

This module teaches you the fundamental concepts of designing and developing a data model for proper performance and scalability. This module will also help you understand and tackle many of the common data modeling issues, including relationships, security, and performance.

Module Objectives:

At the end of this module, the students will be able to:

  • Understand the basics of data modeling
  • Define relationships and their cardinality
  • Implement Dimensions and hierarchies
  • Create histograms and rankings

Module 5: Create Model Calculations using DAX in Power BI

This module introduces you to the world of DAX and its true power for enhancing a model. You will learn about aggregations and the concepts of Measures, calculated columns and tables, and Time Intelligence functions to solve calculation and data analysis problems.

Module Objectives:

At the end of this module, the students will be able to:

  • Understand DAX
  • Use DAX for simple formulas and expressions.
  • Create calculated tables and columns
  • Build simple measures
  • Work with Time Intelligence and Key Performance Indicators

Module 6: Optimize Model Performance

In this module you are introduced to steps, processes, concepts, and data modeling best practices necessary to optimize a data model for enterprise-level performance.

Module Objectives:

At the end of this module, the students will be able to:

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

Module 7: Creating Reports 

This module introduces you to the fundamental concepts and principles of designing and building a report, including selecting the correct visuals, designing a page layout, and applying basic but critical functionality This important topic of designing for accessibility is also covered.

Module Objectives:

At the end of this module, the students will be able to:

  • Design a page layout
  • Select and add appropriate visualization type
  • Add basic report functionality
  • Add basic report navigation and interactions
  • Improve report performance
  • Design for accessibility

Module 8: Create Dashboards

In this module you will learn how to tell a compelling story through the use of dashboards and the different navigation tools available to provide navigation. You will be introduced to features and functionality and how to enhance dashboards for usability and insights.

Module Objectives:

At the end of this module, the students will be able to:

  • Create a dashboard
  • Understand real-time dashboards
  • Enhance the dashboard usability

Module 9: Create Paginated Reports in Power BI

This module will teach you about paginated reports, including what they are how they fit into Power BI. You will then learn how to build and publish a report

Module Objectives:

At the end of this module, the students will be able to:

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

Module 10: Perform Advanced Analytics

This module helps you apply additional features to enhance the report for analytical insights in the data, equipping you with the steps to use the report for actual data analysis. You will also perform advanced analytics using AI visuals on the report for even deeper and meaningful data insights.

Module Objectives:

At the end of this module, the students will be able to:

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

Module 11: Create and Manage Workspaces

This module will introduce you to Workspaces, including how to create and manage them. You will also learn how to share content, including reports and dashboards, and then learn how to distribute an App.

Module Objectives:

At the end of this module, the students will be able to:

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

Module 12: Manage Datasets in Power BI

In this module you will learn the concepts of managing Power BI assets, including datasets and workspaces. You will also publish datasets to the Power BI service, then refresh and secure them.

Module Objectives:

At the end of this module, the students will be able to:

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

Module 13: Row-level security

This module teaches you the steps for implementing and configuring security in Power BI to secure Power BI assets.

Module Objectives:

At the end of this module, the students will be able to:

  • Understand aspects of Power BI security
  • Configure static and dynamic row-level
  • Học trực tuyến

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  • Thời lượng : 32h
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  • Thời lượng : 32h
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