Analyzing Data with Power BI

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Analyzing Data with Power BI2020-08-19T10:09:06-04:00

Summary

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.

  • Dates: Jan 18, 2021- Jan 19, 2021- Jan 20, 2021- Jan 21, 2021
  • Times: 9:00 am - 4:30 pm
  • Location: Virtual
  • Seats: 10
  • Price: $2300

Introduction

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.

Outline

  • Module 1: Get Started with Microsoft Data Analytics

    • Data Analytics and Microsoft
    • Getting Started with Power BI
  • Lab : Getting Started

  • After completing this module, you will be able to:

    • Explore the different roles in data
    • Identify the tasks that are performed by a data analyst
    • Describe the Power BI landscape of products and services
    • Use the Power BI service
  • Module 2: Prepare Data in Power BI

    • Get data from various data sources
    • Optimize performance
    • Resolve data errors
  • Lab : Preparing Data in Power BI Desktop

  • After completing this module, you will be able to:

    • Identify and retrieve data from different data sources
    • Understand the connection methods and their performance implications
    • Optimize query performance
    • Resolve data import errors
  • Module 3: Clean, Transform, and Load Data in Power BI

    • Data shaping
    • Enhance the data structure
    • Data Profiling
  • Lab : Transforming and Loading Data

  • After completing this module, students will be able to:

    • Apply data shape transformations
    • Enhance the structure of the data
    • Profile and examine the data
  • Module 4: Design a Data Model in Power BI

    • Introduction to data modeling
    • Working with tables
    • Dimensions and Hierarchies
  • Lab : Data Modeling in Power BI Desktop

  • Lab : Advanced Data Modeling in Power BI Desktop

  • After completing this module, you 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 Measures using DAX in Power BI

    • Introduction to DAX
    • DAX context
    • Advanced DAX
  • Lab : Introduction to DAX in Power BI Desktop

  • Lab : Advanced DAX in Power BI Desktop

  • After completing this module, you will be able to:

    • Understand DAX
    • Use DAX for simple formulas and expressions
    • Create calculated tables and measures
    • Build simple measures
    • Work with Time Intelligence and Key Performance Indicators
  • Module 6: Optimize Model Performance

    • 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
  • Module 7: Create Reports

    • Design a report
    • Enhance the report
  • Lab : Designing a report in Power BI

  • Lab : Enhancing Power BI reports with interaction and formatting

  • After completing this module, you will be able to:

    • Design a report page layout
    • Select and add effective visualizations
    • Add basic report functionality
    • Add report navigation and interactions
    • Improve report performance
    • Design for accessibility
  • Module 8: Create Dashboards

    • Create a Dashboard
    • Real-time Dashboards
    • Enhance a Dashboard
  • Lab : Designing a report in Power BI Desktop - Part 1

  • After completing this module, students will be able to:

    • Create a Dashboard
    • Understand real-time Dashboards
    • Enhance Dashboard usability
  • Module 9: Create Paginated Reports in Power BI

    • Paginated report overview
    • Create Paginated reports
  • Lab : Creating a Paginated report

  • 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
  • Module 10: Perform Advanced Analytics

    • Advanced Analytics
    • Data Insights through AI visuals
  • Lab : Data Analysis in Power BI Desktop

  • 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
  • Module 11: Create and Manage Workspaces

    • Creating Workspaces
    • Sharing and Managing Assets
  • Lab : Publishing and Sharing Power BI Content

  • 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
  • Module 12: Manage Datasets in Power BI

    • Parameters
    • Datasets
  • After completing this module, you will be able to:

    • Create and work with parameters
    • Manage datasets
    • Configure dataset refresh
    • Troubleshoot gateway connectivity
  • Module 13: Row-level security

    • 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 memberships