This course equips learners with knowledge in Microsoft Power BI, teaching them to create data visualisations, understand data relationships, and use visualisation techniques for business forecasting and trend analysis. Participants will also learn to develop interactive dashboards, KPI scorecards, and effectively communicate data insights to share their information in a clear and concise manner.
Training Type
Full Time
Who Should Attend
This training is relevant to Executives, Senior Executives and Data Analyst, Managers who are keen to learn how to fully utilise Power BI Desktop as a BI tool. This training is relevant to learners who are keen to explore data analytics as a job role.
Course Duration
2 Days
Total Training Duration (Hour)
16
Course Outline
Learning Unit 1: Importing Data into Power BI Desktop
Using Get Data feature
Get Data from text files
Get Data from spreadsheet files
Get Data from database files
Get Data from websites
Learning Unit 2: Shape and Clean Data using Power Query
Navigating Power Query Editor
Removing rows and columns within Power Query
Changing Data Types
Entering data via Power Query
Creating headers in Power Query
Find and replacing values in columns
Splitting and merging columns
Using Unpivot feature
Understanding Applied Steps in Query Editor
Learning Unit 3: Building Data Models
What is a Data Model?
Types of Relationships
Creating Relationships between Tables
Creating a Link Table
Creating a New Calculated Columns
Learning Unit 4: Creating Basic Data Visualization
Conditional Formating using background colours and data bars
Using Bar, Column, Pie and other standard visualisation
Using KPI visualisation and other visualisation types
Learning Unit 5: Introduction to Measures
What is a measure?
Creating measures
Using measures for Gauge chart and KPI visualization
Creating measures table
Learning Unit 6: Introduction to DAX
What is DAX?
Basic DAX functions and formulas like SUM, AVERAGE, CALCULATE
Difference between Iterator and Aggregator functions i.e. SUM vs SUMX
Creating DAX with multiple tables
Other DAX functions like COUNT, COUNTROWS, MAX, MIN, DIVIDE functions
Learning Unit 7: Additional Data Visualization
Creating Drillthroughs
Creating Tooltips
Learning Unit 8: Using Predictive Analytics and other Reference Lines
Using Constant Line
Using Min and MAX Line
Using Average Line
Using Median Line
Using Percentile Line
Creating Forecasting values
Course Learning Outcome
By the end of this course, learners will be able to:
Select the appropriate visualisation techniques to convey findings with usage of interactive visual display
Present different data types to reflect business trends using visualization techniques to show correlations between data sets
Incorporate suitable chart elements to create informative and interactive data displays
Develop basic dashboards KPI scorecards to display benchmark and results achieved