Course Information

  • Sessions 3 days
  • Duration 22.5 hrs
  • Level Beginner to Intermediate
  • Assessment NA

Venue

12 Woodlands Square #07-85/86/87 Woods Square Tower 1, Singapore 737715. 5 mins walk from Woodlands (NS9) MRT station.

The venue is disabled-friendly.

Course Brochure

Certification

  • Certificate of Achievement from Tertiary Infotech Academy Pte Ltd - Upon meeting at least 75% attendance and passing the assessment(s), participants will receive a Certificate of Achievement from Tertiary Infotech Academy Pte Ltd.

Microsoft Learning Partner

We are an Authorised Microsoft Learning Partner (Org ID: 5238476). To get the official Microsoft certification, please register your certification exam at a Pearson VUE test center.

Certification Exam

We are Authorised Pearson Vue Testing Center. Once you have prepared for the exam, you can register for the certification here. The course fee does not include the certification exam fee.

You can purchase the exam voucher (one of the lowest prices in Singapore) at Microsoft Role-Based Certification Exam Voucher.

PL-300 Microsoft Power BI Data Analyst Training

Course Code: C1433
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What's This Course About

This course is designed to prepare students for the Microsoft Power BI Data Analyst (PL-300) certification exam. The course covers all the topics that are necessary to become a proficient Power BI data analyst, including data modeling, visualization, report creation, and dashboard design.

The course begins with an introduction to Power BI and its various components. Students will learn about data sources, data modeling, and creating visuals in Power BI. The course also covers the process of creating reports, including adding visuals and formatting options.

In addition to report creation, the course will cover advanced visualization techniques, including drill-throughs, bookmarks, and custom visuals. Students will also learn how to design dashboards and create KPIs using Power BI.

Throughout the course, students will have access to hands-on labs and practical exercises to reinforce their learning. The labs will be based on real-world scenarios, allowing students to apply their knowledge to actual data analysis situations.

By the end of the course, students will be prepared to take the Microsoft Power BI Data Analyst (PL-300) certification exam. The exam validates the skills needed to design and develop data models, reports, and dashboards in Power BI.

Bonus: Free Practice Exams

Get exam-ready on our Practice Exam Portal — train in realistic Practice Mode and timed Exam Mode, then retake them as many times as you like before the real exam.

Start Practising →

Funding Options

No funding is available for this course

For WSQ funding, please checkout the details at WSQ - Power BI Data Analyst Exam Prep Course (PL-300)

Course Fee

$1,050.00 (GST-exclusive)
$1,144.50 (GST-inclusive)

Course Date

Course Time

* Required Fields

Additional Note

Please bring your own laptop for hands-on training. If you don't have laptop, we can provide spare laptop for training use.

Post-Course Support

  • We provide free consultation related to the subject matter after the course.
  • Please email your queries to enquiry@tertiaryinfotech.com and we will forward your queries to the subject matter experts.

Cancellation & Reschedule Policy

  • You can register your interest without upfront payment. There is no penalty for withdrawal of the course before the class commences.
  • We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% for any paid amount.
  • Note the venue of the training is subject to changes due to availability of the classroom.

Course Details

Course Details

What You'll Learn

Topic 1: Discover data analysis

  • Overview of data analysis
  • Roles in data
  • Tasks of a data analyst

Topic 2: Get started building with Power BI

  • Use Power BI
  • Building blocks of Power BI
  • Tour and use the Power BI service

Topic 3: Get data in Power BI

  • Get data from files
  • Get data from relational data sources
  • Get data from a NoSQL database
  • Get data from online services
  • Select a storage mode
  • Get data from Azure Analysis Services
  • Fix performance issues
  • Resolve data import errors

Topic 4: Clean, transform, and load data in Power BI

  • Shape the initial data
  • Simplify the data structure
  • Evaluate and change column data types
  • Combine multiple tables into a single table
  • Profile data in Power BI
  • Use Advanced Editor to modify M code

Topic 5: Design a data model in Power BI

  • Get data from files
  • Get data from relational data sources
  • Get data from a NoSQL database
  • Get data from online services
  • Select a storage mode
  • Get data from Azure Analysis Services
  • Fix performance issues
  • Resolve data import errors

Topic 6: Introduction to creating measures using DAX in Power BI

  • Introduction to DA
  • Understand context
  • Use the Calculate function
  • Use relationships effectively
  • Create semi-additive measures
  • Work with time intelligence

Topic 7: Optimize a model for performance in Power BI

  • Introduction to performance optimization
  • Review performance of measures, relationships, and visuals
  • Use variables to improve performance and troubleshooting
  • Reduce cardinality
  • Optimize DirectQuery models with table level storage
  • Create and manage aggregations

Topic 8: Work with Power BI visuals

  • Introduction to work with Power BI visuals
  • Add visualization items to reports
  • Choose an effective visualization
  • Format and configure visualizations
  • Import a custom visual
  • Add an R or Python visual
  • Work with key performance indicators

Topic 9: Create a data-driven story with Power BI reports

  • Introduction to create a data-driven story with Power BI reports
  • Design a report layout
  • Add buttons, bookmarks, and selections
  • Design report navigation
  • Use basic interactions
  • Use advanced interactions and drill through
  • Configure conditional formatting
  • Apply slicing, filtering, and sorting
  • Publish and export reports
  • Comment on reports
  • Tune report performance
  • Optimize reports for mobile use

Topic 10: Create dashboards in Power BI

  • Introduction to dashboards
  • Configure data alerts
  • Explore data by asking questions
  • Add a dashboard theme
  • Pin a live report page to a dashboard
  • Configure a real-time dashboard
  • Configure data classification
  • Set mobile view

Topc 11: Perform analytics in Power BI

  • Introduction to analytics
  • Explore statistical summary
  • Identify outliers with Power BI visuals
  • Group and bin data for analysis
  • Apply clustering techniques
  • Conduct time series analysis
  • Use the Analyze feature
  • Use advanced analytics custom visuals
  • Review Quick insights
  • Apply AI Insights

Topic 12: Work with AI visuals in Power BI

  • Introduction to working with AI visuals
  • Use the Q&A visual
  • Find important factors with the Key influencers visual
  • Use the Decomposition Tree visual to break down a measure

Topic 13: Create and manage workspaces in Power BI

  • Distribute a report or dashboard
  • Monitor usage and performance
  • Recommend a development life cycle strategy
  • Troubleshoot data by viewing its lineage
  • Configure data protection

Topic 14: Manage datasets in Power BI

  • Create dynamic reports with parameters
  • Create what-if parameters
  • Use a Power BI gateway to connect to on-premises data sources
  • Configure a dataset scheduled refresh
  • Configure incremental refresh settings
  • Manage and promote datasets
  • Troubleshoot service connectivity

Topic 15: Implement row-level security

  • Configure row-level security with the static method
  • Configure row-level security with the dynamic method

Course Info

Prerequisite

The learner must meet the minimum requirement below :

  • At least O levels and above education
  • Read, write, speak and understand English
  • Basic familiarity with spreadsheets and working with data

Mode of Training

Instructor Classroom Training

Job Roles

Job Roles

  • Data Analyst
  • Business Intelligence Specialist
  • Business Analyst
  • Data Visualization Specialist
  • Financial Analyst
  • Marketing Analyst
  • Reporting Specialist
  • Operations Analyst
  • Sales Operations Manager
  • IT Manager (with reporting focus)
  • Product Manager (data-driven products)
  • Supply Chain Analyst
  • Project Manager (with data reporting needs)
  • HR Analytics Specialist
  • CRM Administrator

Trainers

Trainers

Sanjiv i is an ACTA certified experienced leader with a proven track record in business / finance consulting and in developing i) business intelligence (BI) solutions ii) data analytics/analysis solutions and iii) IOT lead BI solutions. Sanjiv's goal through Prudentia Consulting, is to promote the simple joy and excitement of actively using the Microsoft Platform. He believes that the agility afforded by the Microsoft platform helps businesses get time back for deeper business thinking and to spend more time with their end customers Sanjiv has rich experiences in diverse/complex high-tech businesses, turn around environments and strategic transformations. His functional expertise is in sales analytics, financial planning and analysis, engineering and program management. He has worked across discrete manufacturing, professional services and higher education verticals. He also has a working knowledge of equities portfolio management within the financial services domain.Sanjiv is the CEO of Prudentia Consulting, an organization committed to promoting the active usage of the Microsoft Platform. Prior to this, he has worked at Microsoft (US & APAC: 9.2 years), Cognizant Tech Solutions (3.3 years), Yazaki North America (8 years) and until recently at Oracle. Here are a few of his BI/analytics projects driven at scale: Built APAC wide BI dashboard using the Power BI umbrella tool set (Power BI online, Power BI desktop and Power Pivot) and a KPI lake (SQL DB), Helped develop key KPIs – identified key KPIs and helped land this in the DB, Developed a budget audit tool that captured budget inputs from a host of countries across the globe, Developed a business unit P&L reporting tool (functional architecture) in Business Objects for the world-wide financial planning and analysis team.
Audrey Lin is a ACTA certified trainer. She is a Business Development Director at Gill Technologies, an IT Consulting and Managed Services Provider focused at servicing SMEs. I'm responsible for the operations, sales, marketing, accounting, and finance functions of the organization. She have 13 years of experience in helping businesses and schools maximize their Return on Investment on IT through the use of the right technology, improving their business processes and increasing user adoption. My expertise is around Microsoft 365, MS Teams and Power BI. To help organizations improve employee productivity with tools from the MS 365 stack, she have delivered several classroom & online-styled end user training sessions to organizations from various industries - real estate, F&B, oil & gas, healthcare, schools, logistics. I have also created multiple customized & on-demand videos that end users can refer to for a quick review. Being certified as a Microsoft Data Analyst Associate, She is proficient at helping businesses gather business insights from their wide array of data. She have been involved in BI Projects with healthcare firms, logistics companies, FIs, etc., starting from the design phase, right through to the daily management of the BI system. Her area of knowledge in managing security and compliance in MS 365 is significant and ever-growing. She have good understanding of the Zero Trust Principle and uses that to improve the IT security posture of her clients. With the support of her engineering team at Gill Technologies, we use cloud-based management tools from MS 365, namely Intune, Endpoint Manager, Defender, etc. to manage our clients' endpoints.
Peter Cheong is an IT and knowledge management professional with strong expertise in networking, cybersecurity, and information systems. He has completed the Cisco Networking Academy Introduction to Packet Tracer course and has participated in international ICT and knowledge management conferences such as the IFLA Knowledge Management Satellite Meeting. With professional experience in IT systems and infrastructure, Peter brings both technical knowledge and global exposure to his training. As an adult educator, Peter focuses on building learners’ foundational skills in cybersecurity, network defense, and risk management aligned to CompTIA Security+ objectives. His sessions emphasize real-world security scenarios, equipping participants to recognize vulnerabilities, manage threats, and implement effective security controls. His combination of practical training and industry exposure ensures learners are well-prepared for both the certification exam and workplace application.

Review

Customer Reviews (1)

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The course has exceeded my expectations. Would like to give thanks to my trainer, Sanjiv for scoping the content very well. (Posted on 9/25/2023)

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