Infocan Training Limited

Analyzing Data with Power BI (4-day) - RTTP Available

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Course Information

  • May 2021 - Dec 2021
Registration period
20 Jan 2021 (Wed) - 6 Mar 2021 (Sat)
HKD 12,500
(Training Fee: HKD$ 12,500
After RTTP Subsidy: HKD$4,167*
*This course is approved by Reindustrialisation and Technology Training Programme (RTTP), which offers up to 2/3 course fee reimbursement upon successful application.
Companies should submit their RTTP training grant application for their employee(s) via at least two weeks before course commencement.”)
Course Level
Study Mode
24 Hour(s)
Cantonese, English
Virtual//8/F, Yen Shing Centre, 64 Hoi Yuen Road, Kwun Tong

Course Overview

Private Class also available, click "Enquire Now" for details

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.

Upon completion of this course, participants will be able to:

• Ingest, clean, and transform data
• Model data for performance and scalability
• Design and create reports for data analysis
• Apply and perform advanced report analytics
• Manage and share report assets
• Create paginated reports in Power BI

What you'll learn

Module 1: Get Started with Microsoft Data Analytics
• Data Analytics and Microsoft
• Getting Started with Power BI
Lab : Getting Started
• Getting Started

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
• Prepare Data

Module 3: Clean, Transform, and Load Data in Power BI
• Data shaping
• Enhance the data structure
• Data Profiling
Lab : Transforming and Loading Data
• Loading 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
• Create Model Relationships
• Configure Tables
• Review the model interface
• Create Quick Measures
Lab : Advanced Data Modeling in Power BI Desktop
• Configure many-to-many relationships
• Enforce row-level security

Module 5: Create Measures using DAX in Power BI
• Introduction to DAX
• DAX context
• Advanced DAX
Lab : Introduction to DAX in Power BI Desktop
• Create calculated tables
• Create calculated columns
• Create measures
Lab : Advanced DAX in Power BI Desktop
• Use the CALCULATE() function to manipulate filter context
• use Time Intelligence functions

Module 6: Optimize Model Performance
• Optimze the model for performance
• Optimize DirectQuery Models
• Create and manage Aggregations

Module 7: Create Reports
• Design a report
• Enhance the report
Lab : Designing a report in Power BI
• Create a live connection in Power BI Desktop
• Design a report
• Configure visual fields adn format properties
Lab : Enhancing Power BI reports with interaction and formatting
• Create and configure Sync Slicers
• Create a drillthrough page
• Apply conditional formatting
• Create and use Bookmarks

Module 8: Create Dashboards
• Create a Dashboard
• Real-time Dashboards
• Enhance a Dashboard
Lab : Designing a report in Power BI Desktop - Part 1
• Create a Dashboard
• Pin visuals to a Dashboard
• Configure a Dashboard tile alert
• Use Q&A to create a dashboard tile

Module 9: Create Paginated Reports in Power BI
• Paginated report overview
• Create Paginated reports
Lab : Creating a Paginated report
• Use Power BI Report Builder
• Design a multi-page report layout
• Define a data source
• Define a dataset
• Create a report parameter
• Export a report to PDF

Module 10: Perform Advanced Analytics
• Advanced Analytics
• Data Insights through AI visuals
Lab : Data Analysis in Power BI Desktop
• Create animated scatter charts
• Use teh visual to forecast values
• Work with Decomposition Tree visual
• Work with the Key Influencers visual

Module 11: Create and Manage Workspaces
• Creating Workspaces
• Sharing and Managing Assets
Lab : Publishing and Sharing Power BI Content
• Map security principals to dataset roles
• Share a dashboard
• Publish an App

Module 12: Manage Datasets in Power BI
• Parameters
• Datasets

Module 13: Row-level security
• Security in Power BI

Course Media

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