Analyzing Data with Power BI

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Analyzing Data with Power BI2020-08-19T10:05:06-04:00

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: Oct 26, 2020- Oct 27, 2020- Oct 28, 2020- Oct 29, 2020
  • Times: 9:00 am - 4:30 pm
  • Location: Lexington
  • 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