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Course Outline

Introduction

  • Overview of Power BI features and architecture.
  • Advanced tools and data analysis in Power BI.

Getting Started

  • Installing Power BI and other necessary components.
  • Workflow for preparing reports and dashboards.
  • Overview of the interface.

Power Query – Importing Data

  • Types of connectors.
  • Query folding.
  • Extracting data from different sources:
    1. Flat files.
    2. Whole folders of data.
    3. Websites.
    4. Working with unstructured files.
  • Advanced techniques in Power Query:
    1. Merging and appending tables.
    2. Pivoting and unpivoting data.
    3. Automated columns from examples.
    4. Working with inconsistent tables.
    5. Tables decomposition.
    6. Best practices in analyzing text.
    7. Basics of the M language.

Data Model – Why You Need One?

  • What is a data model?
  • Data model normalization.
  • Two main types of tables.
  • Relationship cardinality:
    1. One to many.
    2. One to one.
    3. Many to many.
  • Filter flow – the logic behind the engine.
  • How to create a hierarchy?
  • Data modeling best practices.

DAX – The Best Tool to Make Your Data Useful

  • What is DAX and why is it so effective?
  • What is the difference between a measure and a calculated column? Which one should you use?
  • Filter context vs. Row context.
  • How to create a measure table?
  • Variables in measures:
    1. How to create variables?
    2. Why should you use variables?
    3. How to handle errors and debug with variables?
  • Scalar functions:
    1. Basic aggregation functions.
    2. Iterator functions.
    3. SWITCH function – a better IF.
    4. How to use the COALESCE function?
  • Advanced CALCULATE usage:
    1. The modifiers.
    2. REMOVEFILTERS and KEEPSFILTERS functions with examples.
    3. What is a Pattern?
  • Table and Filter functions:
    1. Most common table functions.
    2. Difference and examples of using VALUES and DISTINCT functions.
    3. How to incorporate SELECTEDVALUE into your report?
    4. ALLEXCEPT.
    5. ALLSELECTED.
    6. Why you should now use SUMMARIZE?
    7. Different ways to generate new data for your report.
  • Table joins:
    1. How to CROSSJOIN tables?
    2. EXCEPT and INTERSECT with examples.
    3. How to use the UNION function?
  • Relationships Functions:
    1. What is the difference between physical and virtual relationships?
    2. RELATED and RELATEDTABLE.
    3. How to use USERELATIONSHIPS?
  • Advanced concepts of time intelligence.
  • How to prepare Fiscal and non-standard calendars for your model?

Advanced Visualization Techniques:

  • How to prepare your own color palette for your report?
  • How to build a theme for all your reports?
  • How to create a great slicer panel?
  • Learn to create compelling graphs that do not misrepresent data.
  • Learn to distinguish between good, bad, and wrong visualizations.
  • The simplest recipe to make your report look good.
  • Interactive Scenario Analysis for your users.
  • Forecast and trend lines for better data recognition.
  • Drilling up and drilling down.
  • Why you should use parameters?
  • Bookmarks as your allies in data visualization.

Requirements

  • A solid understanding of Power BI
  • Practical experience with Power BI
 14 Hours

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