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PL-300 Microsoft Power BI Data Analyst Training

Course Information

  • Sessions 2 days
  • Duration 15 hrs
  • Level Beginner to Intermediate
  • Assessment NA

Venue

Kuala Lumpur: G-3A-02, Suite Pejabat Korporat, KL Gateway, No 2, Jalan kerinchi, Gerbang kernichi Lestari, 59200 Kuala Lumpur, Malaysia
Penang: Jalan Sungai Dua, 11700 Penang, Malaysia.

Course Brochure

Download 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.

PL-300 Microsoft Power BI Data Analyst Training

Course Code: C1433
  • HRDF

6 Review(s) | Add Your Review

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 →

WSQ Funding

Full Fee 2,800.00 Before GST
GST 252.00 9% of fee
Baseline Nett 1,652.00 SG/PR age 21+ · 50% funded
MCES / SME Nett 1,092.00 SG age 40+ · 70% funded
Funding and Grant Applications

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

MYR2,800.00

Course Date

Course Time

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.

Disclaimer: The course dates displayed on our website are tentative and subject to trainer availability. We will confirm the final date after checking with the trainer. You are also welcome to email us your preferred date at sales@tertiarycourses.com.my, and we will do our best to coordinate with the trainer's schedule.

Post-Course Support

  • We may provide consultation related to the subject matter after the course.
  • Please email your queries to sales@tertiarycourses.com.my and we will forward your queries to the subject matter experts and get back to you as soon as possible.

Cancellation & Reschedule Policy

  • We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% to participants.
  • Note: the venue of the training is subject to changes due to class size and availability of the classroom. The minimum class size to start a class is 3 Pax.

Course Details

Course Details

What You'll Learn

This course prepares you for the PL-300 certification exam, covering all official exam domains and their approximate weightings:

Domain 1 Prepare the data (27.5%)

  • Identify and connect to data sources or a shared semantic model; choose between DirectLake, DirectQuery, and Import
  • Change data source settings (credentials, privacy levels) and create/modify parameters
  • Profile data (statistics, column properties) and resolve inconsistencies, nulls, and import errors
  • Select appropriate column data types; create and transform columns; group and aggregate rows
  • Pivot/unpivot/transpose data; convert semi-structured data to a table; create fact and dimension tables
  • Identify/create appropriate keys for relationships; merge and append queries; configure data loading

Domain 2 Model the data (27.5%)

  • Configure table and column properties; implement role-playing dimensions
  • Define relationship cardinality and cross-filter direction; create a common date table
  • Identify use cases for calculated columns and calculated tables
  • Create DAX measures: single aggregations, CALCULATE, time intelligence, statistical functions, semi-additive measures
  • Create quick measures, calculation groups, calculated tables/columns
  • Optimize model performance (remove unnecessary rows/columns, use Performance Analyzer and DAX query view, reduce granularity)

Domain 3 Visualize and analyze the data (27.5%)

  • Select and format appropriate visuals; apply themes, conditional formatting, slicing/filtering; create visual calculations with DAX
  • Use Copilot to create/suggest report pages and narrative visuals; choose when to use a paginated report
  • Enhance reports for usability: bookmarks, custom tooltips, visual interactions, navigation, drillthrough, sync slicers
  • Design reports for mobile and accessibility; configure export settings and automatic page refresh
  • Identify patterns and trends using the Analyze feature, grouping/binning/clustering, AI visuals, forecasting and reference lines
  • Detect outliers/anomalies; use Copilot to summarize the underlying semantic model

Domain 4 Manage and secure Power BI (17.5%)

  • Create and configure workspaces; publish, import, or update items; create dashboards and apps
  • Choose a distribution method; configure subscriptions and data alerts; promote or certify content
  • Identify when a gateway is required; configure semantic model scheduled refresh
  • Assign workspace roles and configure item-level access and access to semantic models
  • Implement row-level security roles and configure RLS group membership
  • Apply sensitivity labels

Course Info

Promotion Code

Promo or discount cannot be applied to WSQ courses

Prerequisite

The learner must meet the minimum requirement below :

  • At least O levels and above education
  • Read, write, speak and understand English

The learner must also have basic Python knowledge. If you don't have Python knowledge, please consider the following WSQ courses:

Mode of Training

Instructor Classroom Training

WSQ Funding Validity Period

15 Aug 2020 - 14 Aug 2024

WSQ Course Fee Funding

Self-Sponsored

  • Click here for more info on the funding for self-sponsored.
  • Eligible Singapore Citizens can use their SkillsFuture Credit and PSEA funds to offset course fee payable after funding.

Employer-Sponsored

  • Click here for more info on the funding for employer-sponsored.
  • Absentee Payroll claimable by SMEs: Up to 80%of hourly basic salary capped at $7.50/hr
  • Absentee Payroll claimable by Non-SMEs: Up to 80% of hourly basic salary capped at $4.50/hr

WSQ Assessment

  • Participants will be assessed through individual assessment
  • Passing Criteria – Participants are to answer all questions accurately in the individual written assessment.
  • Participants may need to attend additional coaching sessions and re-assessments if they do not pass the required competency standards. 

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

Saeid is co-founder of Skymics Sdn Bhd. He has 8 years of experience in the field of IoT (Internet of Things) and Information Technology. He is a certified IBM IoT Practitioner and instructor, and a Certified Citizen Data Scientist Train-The-Trainer. He has been co-inventor of 3 inventions during the last 4 years.

Review

Customer Reviews (6)

Great learning experience Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
The course content was comprehensive and up to date. The practical exercises were the best part. (Posted on 01/05/2026)
Learned a lot Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
Very engaging session. The trainer patiently answered all our questions and gave useful tips. (Posted on 14/02/2026)
Exceeded my expectations Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
Really enjoyed the training. The examples were relevant and the pace was just right. (Posted on 13/01/2026)
Great practical training Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
A very practical course. The trainer made a complex topic simple and enjoyable to learn. (Posted on 23/10/2024)
Engaging trainer Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
Well organised course with clear objectives. The step-by-step approach made it easy to follow. (Posted on 24/09/2024)

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