Learning Path for PL-300: Tips To Pass Exam in 14 Days
This learning path is designed to help you prepare for the PL-300: Microsoft Power BI Data Analyst. We would help you to understand the complete structure of exam along with some recommendations and resources. This path will help you to complete your Power BI Data Analyst Associate Certification.
What is the PL-300 Certification Exam?
The PL-300 exam measures your ability to identify business requirements, clean and transform data, build data models, deliver actionable insights, enable others to perform self-service analytics, and deploy solutions for consumption using Power BI.
The skills are divided into four functional components-
- Prepare the data (25–30%): Get data from different sources; clean, transform, and load the data.
- Model the data (25–30%): Design and create a data model; perform a model calculation with DAX; optimize model performance.
- Visualize and Analyze the data (25–30%): Create reports and dashboards; enhance reports for usability and storytelling; Identify patterns and trends.
- Deploy and maintain assets (15–20%): Manage files and datasets; manage workspaces.
Data analysts make an average of $71,566 and swinging as high as $110,000 per year.
How to Prepare for Microsoft Power BI Data Analyst PL-300 Certification Exam?
First of All Download the Microsoft study guide for PL-300 exam and go through with the topics and functional groups.
- Know Structure of the PL-300 Exam
- Start the Learning Process
- Try Your Hands on Practically with Power BI Tool
- Leverage the Microsoft Free Resources
- Must Solve Practice Tests !!!
- Get support from Study Groups and join Microsoft Community
- Take Time for Rest and Revision
Microsoft Power BI Data Analyst Exam Summary:
Exam Name: PL-300: Microsoft Power BI Data Analyst
Exam Code: PL-300
Cost: $165 USD*
Duration: 120 Minutes
Number of Questions: 45–60
Passing Score Required: 700/1000
Schedule Exam: Pearson VUE
Practice Tests: [NEW] PL-300: Microsoft Power BI Data Analyst Exam 2024
For 20% OFF Use CouponCode: SUMMER2024
Prerequisites:
- Basic knowledge of Power BI data analysis and visualization projects.
- Basic to Intermediate knowledge of most Azure Services
- Knowledge of Previous Power BI experience is helpful but not necessary
Preparation Journey:
We will learn all objectives of the exam are covered in depth in 14 days journey so you’ll be ready for any question on the exam. You can certainly go faster or slower depending on your schedule!
DAY 1
We will start from basic in DAY 1. We will learn about the life and journey of a data analyst, the skills, tasks, and processes they go through in order to tell a story with data so trusted business decisions can be made. You will also learn how the suite of Power BI tools and services are used by a data analyst to tell a compelling story through reports and dashboards, and the need for true BI in the enterprise in Day 1.
- Prepare the data (15–20%)
(a) Get started with Microsoft data analytics
Discover data analysis
In this module, you will explore the different roles in data and learn the different tasks of a data analyst.
• Introduction
• Overview of data analysis
• Roles in data
• Tasks of a data analyst
• Check your knowledge
• Summary
Get started building with Power BI
In this module, you will explore what Power BI, including its building blocks and how they work together.
• Introduction
• Use Power BI
• Building blocks of Power BI
• Tour and use the Power BI service
• Check your knowledge
• Summary
DAY 2
We will start learn about data preparation for analysis in Day 2. You will explore Power Query as you learn to extract data from different data sources and choose a storage mode and connectivity type. You will learn to profile, clean, and load data into Power BI in preparation for modeling your data.
(b) Prepare data for analysis
Get data in Power BI:
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.
• Introduction
• 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
• Exercise — Prepare data in Power BI Desktop
• Check your knowledge
• Summary
Clean, transform, and load data in Power BI:
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.
• Introduction
• 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
• Exercise — Load data in Power BI Desktop
• Check your knowledge
• Summary
DAY 3
In day 3 we will start learn how to design a data model that is intuitive, high-performing, and simple to maintain. You will learn about using DAX language to create measures. Those measures will help you create a wide variety of analytic solutions.
2. Model the data (30–35%)
(a) Model data in Power BI
Design a data model in Power BI:
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.
• Introduction
• Work with tables
• Create a date table
• Work with dimensions
• Define data granularity
• Work with relationships and cardinality
• Resolve modeling challenges
• Exercise — Model data in Power BI Desktop, Part 1
• Check your knowledge
• Summary
Introduction to creating measures using DAX in Power BI:
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.
• Introduction to DAX
• Understand context
• Use the Calculate function
• Use relationships effectively
• Create semi-additive measures
• Exercise — Introduction to DAX in Power BI Desktop
• Work with time intelligence
• Exercise — Time intelligence and measures in DAX
• Check your knowledge
• Summary
DAY 4
Now we will start learn optimize a model for performance in Power BI and will learn when to use which visual to solve which problem. You will also learn report design and report formatting. Additionally, you will learn how to use report navigation to tell a compelling, data-driven story in Power BI. Dashboards will help your users target report visuals to meet their specific needs. Paginated reports help you create pixel-perfect report artifacts like sales invoices, purchase orders, medical records, transaction statements, and much more.
Optimize a model for performance in Power BI:
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.
• 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
• Check your knowledge
• Summary
3. Visualize and Analyze the data (30–35%)
(a)Visualize data in Power BI
Work with Power BI visuals:
You will 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).
• 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
• Exercise — Design a report in Power BI desktop
• Check your knowledge
• Summary
DAY 5
In Day 5 we will 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 in create a data-driven story with Power BI reports module and create dashboards in Power BI.
Create a data-driven story with Power BI reports:
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.
• 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
• Exercise — Enhance Power BI reports with slicers, interaction, and formatting
• Check your knowledge
• Summary
Create dashboards in Power BI:
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.
• 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
• Exercise — Create a Power BI dashboard
• Check your knowledge
• Summary
Create paginated reports:
Paginated reports allow report developers to create Power BI artifacts that have tightly controlled rendering requirements. Paginated reports are ideal for creating sales invoices, receipts, purchase orders, and tabular data. This module will teach you how to create reports, add parameters, and work with tables and charts in paginated reports.
• Introduction to paginated reports
• Get data
• Create a paginated report
• Work with charts on the report
• Publish the report
• Check your knowledge
• Summary
DAY 6
Now we have almost completed 85% syllabus of PL-300. We will also start practice the questions of PL-300 from Practice Tests.
We will start learn more features to enhance their reports for analytical insights in their data with features like Q&A and exporting. We will also closely examine your data and Power BI reports and then extract value with deeper analysis. Additionally, you will learn how to sort data and how to present the report in a cohesive manner. You will learn how to get a statistical summary for your data and export data from Power BI. You will also apply and perform advanced analytics on the report for deeper and more meaningful data insights.
4. Deploy and maintain assets (10–15%)
(a)Data analysis in Power BI
Perform analytics in Power BI:
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.
• 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
• Check your knowledge
• Summary
Work with AI visuals in Power BI:
This module describes the AI capabilities of 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
• Exercise — Analyze data with AI visuals
• Check your knowledge
• Summary
DAY 7
In day 7 we will last module of PL-300 exam and we will learn how to create workspaces in the Power BI service. We will deploy your Power BI artifacts here and share them to your users. We will also learn how to connect Power BI reports to on-premise data sources. Ours users will appreciate seeing the latest data in your reports, so we will configure automatic refresh for your Power BI datasets. Row-level security allows you to create one report, but have users be restricted to see only the data that applies to them. This targets data to users, without having to create multiple reports.
Manage workspaces and datasets in Power BI
Once you have created your Power BI data sets and reports, it’s time to deploy them so the users can take advantage of all of your hard work.
Create and manage workspaces in Power BI:
• Introduction
• Distribute a report or dashboard
• Monitor usage and performance
• Recommend a development life cycle strategy
• Troubleshoot data by viewing its lineage
• Configure data protection
• Check your knowledge
• Summary
DAY 8 — DAY 13
We will only need to complete the practice tests from day 8 and try to achieve 90% score in practice tests to get more confidence and pass your exam in first attempt. You can utilize KloudSaga best practice tests and pl 300 questions to pass your exam in first attempt. For active coupons check https://kloudsaga.com
PRACTICE -> PRACTICE -> PRACTICE
[NEW] PL-300: Microsoft Power BI Data Analyst Exam 2024
Udemy Practice Test Link-
https://www.udemy.com/course/microsoft-power-bi-data-analyst/?referralCode=88122D3AF3B9F074D58B
If you have any doubts, feel free to post your queries in Q/A section on our Udemy course. We will provide best solutions.
We hope you are now confident and ready for the real exam.
DAY-14
Take Rest, Revise the study material and Practice Tests solutions. Revision helps you soak up the concepts that you have been studying. However, do not ignore your health. Eat, and rest properly if you want to study competently. You can’t grasp any information if your brain is tired as you feel worn out due to a shortage of sleep or rest.
Have a good sleep the night before the exam and be confident!
Exam Day Tip
Wake up early — revise notes but not new information. Get active — mild exercise will help calm your nerves and energies your brain. Eat a healthy breakfast.
Stay Calm! Take a deep breath, read the questions, formulate an answer before looking at the options, pick one, and move on.
For more Details Visit: https://kloudsaga.com/pl-300-microsoft-power-bi-data-analyst-certification/
Share your Success and post your badge on LinkedIn
After you pass the PL-300, be sure to share your success with the world by posting your badge proudly on LinkedIn.
Don’t forget to share your success on LinkedIn and other social channels and tag us @Kloudsaga so we can celebrate with you!
We’d love to hear your successful journey. All the Best!
Our Udemy Visit- https://www.udemy.com/user/kloudsagatutorials/
Udemy Vs KloudSaga Practice Sets-
