Overview
Discover Microsoft Certified: Power BI Data Analyst Associate.
Power BI is a leading business intelligence platform that combines an intuitive user experience with industry-leading advanced analytics. Organisations can bring together data to analyse in seconds and uncover deep insights with built-in AI capabilities—all with the industry-leading security and performance of the Power Platform and Azure.
This PL-300T00: Microsoft Power BI Data Analyst 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 Power BI course will also explore how to implement proper security standards and policies across the Power BI spectrum including datasets and groups.
Our comprehensive training program ensures that you learn Power BI through hands-on, guided learning, boosting your confidence and capabilities in creating impactful data reports.
The course will also discuss how to manage and deploy reports and dashboards for sharing and content distribution. Finally, this Power BI training will show how to build paginated reports within the Power BI service and publish them to a workspace for inclusion within Power BI.
Get Power BI certified with Microsoft Malaysia’s Learning Partner of the Year 2024 today!
Skills Covered
- 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
Who Should Attend
The audience for this Power BI certification course are data professionals and business intelligence professionals who want to learn how to accurately perform data analysis using Power BI. This course is also targeted toward those individuals who develop reports that visualize data from the data platform technologies that exist on both in the cloud and on-premises.
Course Curriculum
Prerequisites
Successful Data Analysts start this role with experience of working with data in the cloud. Specifically:
- Understanding core data concepts.
- Knowledge of working with relational data in the cloud.
- Knowledge of working with non-relational data in the cloud.
- Knowledge of data analysis and visualization concepts.
You can gain the prerequisites and a better understanding of working with data in Azure by completing Microsoft Azure Data Fundamentals before taking this course.
Download Course Syllabus
Course Modules
Would you like to explore the journey of a data analyst and learn how a data analyst tells a story with data? In this module, you will explore the different roles in data and learn the different tasks of a data analyst.
Learning objectives
In this module, you will:
- Learn about the roles in data.
- Learn about the tasks of a data analyst.
Learn what Power BI is, including its building blocks and how they work together.
Learning objectives
In this module, you will:
- Learn how Power BI services and applications work together.
- Explore how Power BI can make your business more efficient.
- Learn how to create compelling visuals and reports.
You will learn how to retrieve data from a wide variety of data sources, including Microsoft Excel, relational databases, and NoSQL data stores. You will also learn how to improve performance while retrieving data.
Learning objectives
By the end of this module, you’ll be able to:
- Identify and connect to a data source
- Get data from a relational database, like Microsoft SQL Server
- Get data from a file, like Microsoft Excel
- Get data from applications
- Get data from Azure Analysis Services
- Select a storage mode
- Fix performance issues
- Resolve data import errors
Power Query has an incredible amount of features that are dedicated to helping you clean and prepare your data for analysis. You will learn how to simplify a complicated model, change data types, rename objects, and pivot data. You will also learn how to profile columns so that you know which columns have the valuable data that you’re seeking for deeper analytics.
Learning objectives
By the end of this module, you’ll be able to:
- Resolve inconsistencies, unexpected or null values, and data quality issues.
- Apply user-friendly value replacements.
- Profile data so you can learn more about a specific column before using it.
- Evaluate and transform column data types.
- Apply data shape transformations to table structures.
- Combine queries.
- Apply user-friendly naming conventions to columns and queries.
- Edit M code in the Advanced Editor.
The process of creating a complicated data model in Power BI is straightforward. If your data is coming in from more than one transactional system, before you know it, you can have dozens of tables that you have to work with. Building a great data model is about simplifying the disarray. A star schema is one way to simplify a data model, and you’ll learn about the terminology and implementation of them in this module. You will also learn about why choosing the correct data granularity is important for performance and usability of your Power BI reports. Finally, you’ll learn about improving performance with your Power BI data models.
Learning objectives
In this module, you will:
- Create common date tables
- Configure many-to-many relationships
- Resolve circular relationships
- Design star schemas
Data Analysis Expressions (DAX) is a programming language that is used throughout Microsoft Power BI for creating calculated columns, measures, and custom tables. It is a collection of functions, operators, and constants that can be used in a formula, or expression, to calculate and return one or more values. You can use DAX to solve a number of calculations and data analysis problems, which can help you create new information from data that is already in your model.
Learning objectives
By the end of this module, you’ll be able to:
- Build quick measures.
- Create calculated columns.
- Use DAX to build measures.
- Discover how context affects DAX measures.
- Use the CALCULATE function to manipulate filters.
- Implement time intelligence by using DAX.
Performance optimization, also known as performance tuning, involves making changes to the current state of the data model so that it runs more efficiently. Essentially, when your data model is optimized, it performs better.
Learning objectives
By the end of this module, you will be able to:
- Review the performance of measures, relationships, and visuals.
- Use variables to improve performance and troubleshooting.
- Improve performance by reducing cardinality levels.
- Optimize DirectQuery models with table level storage.
- Create and manage aggregations.
Learn how to choose from the exceptional visuals that Power BI makes available to you. Formatting visuals will direct the user’s attention to exactly where you want it, while helping to make the visual easier to read and interpret. You will also learn about how to use key performance indicators (KPIs).
Learning objectives
In this module, you will:
- Add visualization items to reports.
- Choose an effective visualization.
- Format and configure visualizations.
- Import a custom visual.
- Add an R or Python visual.
Power BI helps you create vibrant, highly useful reports that form a cohesive, data-driven story. You’ll learn how to use buttons, bookmarks, and other navigation techniques. Additionally, you’ll learn how to integrate Power BI reports with other applications. Power BI visuals can interact with each other, letting the user see exactly which data is appealing to them. You’ll also explore Power BI report themes to create a unified reporting experience across all reports.
Learning objectives
In this module, you will:
- Design a report layout.
- Add buttons, bookmarks, and selections.
- Design report navigation.
- Use basic interactions.
- Use advanced interactions and drillthrough.
- Configure conditional formatting.
- Apply slicing, filtering, and sorting.
- Publish and export reports.
- Comment on reports.
- Use Performance analyzer to tune reports.
- Optimize reports for mobile use.
Microsoft Power BI dashboards are different than Power BI reports. Dashboards allow report consumers to create a single artifact of directed data that is personalized just for them. Dashboards can be comprised of pinned visuals that are taken from different reports. Where a Power BI report uses data from a single dataset, a Power BI dashboard can contain visuals from different datasets.
Learning objectives
In this module, you will:
- Set a mobile view.
- Add a theme to the visuals in your dashboard.
- Configure data classification.
- Add real-time dataset visuals to your dashboards.
- Pin a live report page to a dashboard.
You will learn how to use Power BI to perform data analytical functions, how to identify outliers in your data, how to group data together, and how to bin data for analysis. You will also learn how to perform time series analysis. Finally, you will work with advanced analytic features of Power BI, such as Quick Insights, AI Insights, and the Analyze feature.
Learning objectives
In this module, you will:
- 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.
This module describes the AI capabilities of Power BI.
Learning objectives
In this module, you will:
- Use the Q&A visual.
- Find important factors with the Key influencers visual.
- Use the Decomposition Tree visual to break down a measure.
This module explains how you can share reports and datasets with your users and how to create a deployment strategy that makes sense for you and your organization. Furthermore, you will learn about data lineage in Microsoft Power BI.
Learning objectives
In this module, you will:
- Distribute a report or dashboard.
- Monitor usage and performance.
- Recommend a development life cycle strategy.
- Troubleshoot data by viewing its lineage.
- Configure data protection.
With Microsoft Power BI, you can build multiple reports from a single dataset, meaning that if you change the dataset, all reports will be updated with that change. Additionally, you can clean and prep data once rather than repeatedly for each report.
Learning objectives
In this module, you will:
- Create dynamic reports with parameters.
- Create what-if parameters.
- Use a Power BI gateway to connect to on-premises data sources.
- Configure a scheduled refresh for a dataset.
- Configure incremental refresh settings.
- Manage and promote datasets.
- Troubleshoot service connectivity.
- Boost performance with query caching (Premium).
Row-level security (RLS) allows you to create a single or a set of reports that targets data for a specific user. In this module, you will learn how to implement RLS by using either a static or dynamic method and how Microsoft Power BI simplifies testing RLS in Power BI Desktop and Power BI service.
Learning objectives
In this module, you will:
- Configure row-level security by using a static method.
- Configure row-level security by using a dynamic method.
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Training Options
- ILT: Instructor-Led Training
- VILT: Virtual Instructor-Led Training
Exam & Certification
Microsoft Certified: Power BI Data Analyst Associate
If you enjoy analyzing data and using Power BI to discover and unlock data insights, this could be the ideal Power BI certification for you—especially if you use those insights to provide easy-to-understand data visualizations that can help drive the success of your team and organization.
You fit the profile for a Power BI Data Analyst Associate if you have a fundamental understanding of data repositories and data processes, both on-premises and in the cloud. You’re also a subject matter expert who enables organizations to maximize the value of their data assets by using Power BI. Your responsibilities include designing and building scalable data models, cleaning and transforming data, and enabling advanced analytic capabilities that provide meaningful business value. You also collaborate with key stakeholders across verticals to deliver relevant insights based on identified business requirements.
Ready to discover your career path?
You’re a professional data analyst whose analytical capabilities and Power BI skills help provide businesses with the data they need to make better, faster decisions. Are you ready to explore where a Microsoft Certified credential can take you on your career journey? A Power BI Data Analyst Associate certification can help you stand out in a technical landscape where the demand for data analytics expertise is growing.
Training & Certification Guide
The Power BI data analyst delivers actionable insights by leveraging available data and applying domain expertise. The Power BI data analyst collaborates with key stakeholders across verticals to identify business requirements, cleans and transforms the data, and then designs and builds data models by using Power BI. The Power BI data analyst provides meaningful business value through easy-to-comprehend data visualizations, enables others to perform self-service analytics, and deploys and configures solutions for consumption. Candidates for this exam should be proficient using Power Query and writing expressions by using DAX.
On February 28, 2022, the Data Analyst Associate certification will be renamed to Microsoft Certified: Power BI Data Analyst Associate.
This Power BI exam measures your ability to accomplish the following technical tasks: prepare the data; model the data; visualize the data; analyze the data; and deploy and maintain deliverables.
Skills measured:
- Prepare the data (15-20%)
- Model the data (30-35%)
- Visualize and analyze the data (25-30%)
- Deploy and maintain assets (20-25%)
Data analysts enable businesses to maximize the value of their data assets by using Microsoft Power BI. As subject matter experts, data analysts are responsible for designing and building scalable data models, cleaning and transforming data, and enabling advanced analytic capabilities that provide meaningful business value through easy-to-comprehend data visualizations.
AI Mastery Program: Learn AI with Microsoft in 2024
Artificial Intelligence (AI) has been one of the hottest topics in the tech industry for the past decade. With its rapid advancements and potential to impact our daily lives, learning AI has become a highly sought-after skill.
We are thrilled to announce the launch of our Microsoft AI Mastery Program in 2024, made possible through our partnership with Microsoft, a renowned leader in AI technology. This program is tailored for individuals and tech professionals passionate about acquiring and mastering the fundamental and advanced principles of AI.
5 reasons why role-based tech training & certification is the secret to business success
Whether you’re an established professional or new to the field, Microsoft in-person and online IT training and certification will give you the expertise you need in a specific product or technology. When you learn from our expert Microsoft Certified Trainers, be assured that what you’ll learn will be accurate, complete, and up to date. Choose training that aligns with your budget, from instructor-led classroom or live virtual training, self-paced on-demand, blended learning or on-site private classes.
In this blog post we reveal the 5 reasons why role-based tech training & certification is the secret to business success.
Microsoft Certifications 2022: 10 Things to Look for in an IT Program for Your Employees
We live in a rapidly changing world of technology, where every day brings innovation. How can you keep pace in this era of digital transformation? Microsoft technologies, offers a comprehensive collection of training options and a wide array of role-based certifications to help you pick up new skills or brush up on old ones.
Microsoft Certification 2022: 10 Reasons to Earn a MSFT Certification
Why get certified?
There’s a high demand today for IT professionals with skills in security, networking, and the cloud—and, according to the 2018 Pearson VUE report on the value of IT certification, those are the top three fields people sought certification in last year. There’s also a rapidly growing demand for people with AI skills—in every field, including business apps.
But it’s not only developers, cloud solution architects, and cybersecurity experts, however, who need to demonstrate their skills. More and more industry roles require proficiency in specialized skills. As the business world continues its digital transformation, the need for people with skills using the latest technologies increases, which means that sales managers, marketers, brand developers, data analysts, and business apps solution developers and architects can also benefit from certification.
From Beginner to Expert: Your Guide to Microsoft Power Platform Certifications
Whether you’re a seasoned developer or a beginner, the Power Platform’s low-code and no-code tools make it easy to build custom apps, automate tasks, analyze data, and create chatbots with ease and efficiency.
Ready to take your business to the next level? Learn how Power Platform can help solve your most pressing business problems.
Top 7 IT Skills to Survive in 2023: Master One Today
In today’s digital age, IT skills have become the backbone of nearly every industry. From cybersecurity to artificial intelligence, staying ahead of the curve is no longer an option — it’s a necessity.
Whether you’re a fresh graduate exploring the tech landscape or a seasoned professional looking to upskill, this guide is your roadmap to success. In this blog, we will unveil the top 7 IT skills that are set to dominate in 2023. These skills have been carefully curated based on industry trends, market demands, and the potential they hold for shaping the future.
Frequently Asked Questions
A data analyst enables businesses to maximize the value of their data assets through visualization and reporting tools. They’re also responsible for profiling, cleaning, and transforming data. Their responsibilities also include designing and building scalable and effective data models, and enabling and implementing the advanced analytics capabilities into reports for analysis.
A data analyst works with the pertinent stakeholders to identify appropriate and necessary data and reporting requirements, and then they’re tasked with turning raw data into relevant and meaningful insights.
Microsoft Power BI Certification is an excellent investment for professionals seeking to enhance their data analytics and visualization skills. In today’s data-driven world, organizations are constantly looking for ways to make data-driven decisions and gain valuable insights from their data.
Power BI is a powerful, user-friendly tool that allows for seamless data manipulation, analysis, and visualization. By becoming Microsoft Power BI Certified, you can unlock numerous benefits for your career and your organization:
- Increased employability: Power BI Certification demonstrates your proficiency in using this in-demand tool, making you a valuable asset to employers seeking data-driven insights and decision-making capabilities.
- Skill validation: The certification process validates your expertise in Power BI, ensuring you have the knowledge and skills necessary to efficiently work with data, create interactive visualizations, and generate valuable insights.
- Stay competitive: As the demand for data analytics professionals continues to grow, Power BI Certification helps you stay competitive by proving your commitment to continuous learning and staying up-to-date with the latest industry trends and best practices.
- Enhanced decision-making: By becoming certified in Power BI, you can effectively turn raw data into actionable insights, driving better decision-making and improved business outcomes for your organization.
- Professional growth: Power BI Certification can lead to new job opportunities, promotions, and higher salaries as you demonstrate your expertise in this essential skill.
The number of questions on a certification exam is subject to change as Microsoft make updates to ensure it aligns with current changes in the technology and job role. Most Microsoft Certification exams typically contain between 40-60 questions; and around 60-140 minutes.
Starting June 30 2021, all newly earned role-based and specialty certifications will be valid for one year from the date the certification was earned.
To stay up to date, IT pros are constantly learning and adding skills. The IDC study concluded that Microsoft Learning Partners such as Trainocate Malaysia which was recently awarded 2023 Microsoft Learning Partner of the Year are well positioned to help organizations achieve their business and learning goals. The IT leaders who were surveyed found the most value from a Learning Partner that provides:
- An end-to-end solution which starts with identifying skill gaps, simplifies the learning experience, and finishes by evaluating how well the Learning Partner met the organization goals.
- Scale, flexibility, and speed to train teams of any size, in any location, amid changing circumstances.
- Value-added services, such as hands-on labs, classroom training, and custom content that help the skills development program succeed.
- High-quality content and delivery, meaning accurate, relevant courseware, top-notch instructors, and a path to certification, if needed.
PL-100T00: Power Platform App Maker
This PL-100T00: Microsoft Power Platform App Maker training course will teach you how to build apps with low-code techniques to simplify, automate, and transform business tasks and processes using Microsoft Power Platform.
PL-200T00: Microsoft Power Platform Functional Consultant
Microsoft Power Platform empowers organizations to automate business processes, develop their own rich app experiences, and connect with customers better and faster.
In this PL-200T00: Microsoft Power Platform Functional Consultant course, students will learn to perform discovery, capture requirements, engage subject matter experts and stakeholders, translate requirements, and configure Power Platform solutions and apps.
PL-300-AO: Building a Customized & Dynamic Report & Dashboard
This session will explore what is the concept of Report Automation where you can create Advanced Dynamic Report in few steps. Working with few useful options while cleaning & preparing data. Designing a data model with non-active relationship which help us in Realtime scenario.
PL-400T00: Microsoft Power Platform Developer
Microsoft Power Platform helps organizations optimize their operations by simplifying, automating and transforming business tasks and processes. In this PL-400T00: Microsoft Power Platform Developer course, students will learn how to build Power Apps, Automate Flows and extend the platform to complete business requirements and solve complex business problems.
PL-500T00:Microsoft Power Automate RPA Developer
Candidates for this PL-500T00: Microsoft Power Automate RPA Developer course automate time-consuming and repetitive tasks by using Microsoft Power Automate. They review solution requirements, create process documentation, and design, develop, troubleshoot, and evaluate solutions.
PL-600T00: Power Platform Solution Architect
In this PL-600T00: Power Platform Solution Architect course, students will learn about decisions a Solution Architect makes during an implementation, covering security, integrations, Power Apps architecture, Power Automate architecture, and more. This course is designed to give you an introduction to the Solution Architect role.
Microsoft offers a range of training resources, including instructor-led courses, self-paced e-learning courses, and practice exams. These resources cover all the topics that are included in the exam and will help you to develop the skills you need to pass the test.
Alternatively, do check out our All you need to know about Microsoft Power BI Data Analyst in 2022 blog post for guidance on how to prep for the certification exam.
The amount of time it takes to earn the certification depends on your level of experience with Power BI and your study habits. Most learners take several weeks to several months to prepare for the PL-300 exam upon completion of the PL-300T00 course.
Earning the Microsoft Certified: Power BI Data Analyst Associate certification is definitely worth it if you’re interested in pursuing a career as a Power BI data analyst. Here are a few reasons why:
Demonstrates your expertise: The certification demonstrates that you have the skills and knowledge to use Power BI to design and develop data models, clean and transform data, and create reports and visualizations. This will make you more attractive to potential employers and help you stand out in a competitive job market.
Increases your earning potential: The Microsoft Certified: Power BI Data Analyst Associate certification can help you to command a higher salary, as it demonstrates your skills and expertise in the field of data analysis. According to Payscale, the average salary for a Power BI Data Analyst is around $72,000 per year.
Opens up new career opportunities: There is a growing demand for data analysts in virtually every industry, and the Microsoft Certified: Power BI Data Analyst Associate certification can help you to qualify for a variety of roles, including Business Intelligence Analyst, Data Analyst, Data Scientist, and more.
Provides a clear career path: Earning the certification can be the first step in a clear career path. It can lead to more advanced certifications, such as the Microsoft Certified: Azure Data Scientist Associate, which can open up even more job opportunities and increase your earning potential further.
The difficulty of learning Power BI can vary depending on your level of experience with data analysis and visualization tools, as well as your familiarity with Microsoft products.
If you are completely new to data analysis and visualization, Power BI may have a steeper learning curve. However, Power BI is designed to be user-friendly, with a drag-and-drop interface and a large library of visualizations and templates to choose from.
If you have experience with other data analysis tools, you may find Power BI relatively easy to learn, as many of the concepts and techniques are similar across different platforms.
The salary of a Power BI data analyst in Malaysia can vary depending on factors such as their level of experience, industry, company size, and location. However, according to data from PayScale, as of February 2023, the average salary for a Data Analyst with Power BI skills in Malaysia is around RM 61,000 per year.
It’s important to note that this figure is an average and may not accurately represent the salary of every Power BI data analyst in Malaysia. Other sources, such as Glassdoor, report a slightly higher average salary for a Power BI Data Analyst in Malaysia, at around RM 80,000 per year.
It’s also worth mentioning that as Power BI continues to gain popularity as a data analysis and visualization tool, the demand for skilled professionals in this area is likely to increase, which may result in higher salaries in the future.
The cost of the PL-300: Microsoft Power BI Data Analyst certification exam is USD90.
The PL-300 exam measures your ability to accomplish the following technical tasks:
- Prepare the data (25–30%)
- Model the data (25–30%)
- Visualize and analyze the data (25–30%)
- Deploy and maintain assets (15–20%)
Trainocate’s Power BI training programs are led by a team of exceptionally skilled instructors, each of whom are qualified Microsoft Certified Trainers who possess a wealth of experience in the Business Intelligence field. To ensure that only the best instructors lead our courses, we employ a rigorous selection process that involves thorough profile screening, technical evaluations, and training demonstrations. This careful evaluation process ensures that only the most qualified candidates are certified to teach for us.
As the global 2021 Microsoft Learning Partner of the Year, we take pride in the quality of our instructors, and we regularly monitor the performance of each instructor to ensure that they maintain the highest standards of excellence.
