Microsoft Power BI – Basic Level

Data Analytics

Course Overview


This is an introductory course for Microsoft Power BI where students will learn the Basic commands and configuration of Microsoft Power BI Power Query Editor. Students on this course will learn the Best practices of Data Preparation , Data Transformation and Data Cleaning which is a very critical stage in Data Analysis. At the end of this training students will also learn the Process of Data Modeling and Basic Data Visualization using Power BI Report View.


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Description

Learning Objectives

At the end of this course, the student must be capable on the following skillsets:

  • Connecting and shaping data using Query Editor
  • Creating a Data Model by connecting tables with BI relationship tools
  • Create Dynamic Dashboards using Power BI Visuals


Target Audience

  • Data Analyst, Sales, Human Resource, Admin Executives



Prerequisites

  • Microsoft Office Excel, Knowledge on Basic Database Management


Course Outline


MODULE 1: CONNECTING TO DATA USING POWER BI DESKTOP 

  • Setting up Power BI Properties
  • The Power BI Interface and Workflow
  • Types of Data Connectors
  • The Query Editor Interface
  • Basic Table Transformations


MODULE 2: DATA SHAPING WITH QUERY EDITOR

  • Text-Specific Tools
  • Number-Specific Tools
  • Date-Specific Tools
  • Index and Conditional Columns
  • Grouping and Aggregating Data
  • Merging Queries
  • Appending Queries
  • Appending Queries from a Folder


MODULE 3: QUERY EDITOR CONFIGURATIONS 

  • Data Source Settings
  • Query Refresh Settings
  • Additional Types and Categories
  • Defining Hierarchies
  • Column Quality and Profile


MODULE 4: INTRODUCTION TO DATA MODEL

  • What is a Data Model?
  • Database Normalization
  • Data Tables vs Lookup Tables
  • Relationship vs Merge Tables


MODULE 5: CREATING TABLE RELATIONSHIPS

  • Star Schema
  • Snowflakes Schema
  • Managing and Editing Relationships
  • Active vs Inactive Relationships
  • Relationship Cardinality
  • Connecting Multiple Tables
  • Understanding Filter Flow
  • Hiding Fields from Report View


MODULE 6: MEET DATA ANALYSIS EXPRESSIONS (DAX)

  • Introduction to Calculated Columns and Measures
  • Adding Columns and Measures
  • Implicit and Explicit Measures
  • Using Quick Measures
  • Filter Context Samples
  • Common DAX Functions and Categories
  • Basic Date and Time Functions
  • Basic Logical Functions
  • Text Functions


MODULE 7: INTRODUCTION TO REPORTS AND DASHBOARDS

  • The Report View
  • Inserting Basic Charts and Visual
  • Formatting Options
  • Report Filtering Options
  • Matrix Visuals
  • Bar and Column Chart
  • Text and Date Slicers
  • Cards
  • Map Visuals
  • Line and Area Charts
  • Pie and Donut Chart


MODULE 8: PERFORM REPORT ANALYSIS

  • Explore statistical summary.
  • Use the Analyze feature
  • Smart Narratives
  • Explore Q and A Visuals
  • Forecast and Trendlines