Days until Automation Days Asia 2022:
0
0
0
0
Days
0
0
Hrs
0
0
Min
0
0
Sec
Register Now
Cybiant

Power BI Data Analyst Associate (PL-300)

Become an expert in Microsoft Power BI and take MS exam PL-300

Power BI Data Analyst Associate (PL-300)

$550.00$820.00

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 training should be proficient in using Power Query and writing expressions by using DAX.

Delivery format: Classroom, Virtual-Led & Self-Paced Online
Certification: Microsoft Power BI Data Analyst Associate (PL-300)

SKU: N/A Category:

Description

The main purpose of the Power BI Data Analyst Associate course is to give students a good understanding of data analysis with Power BI. 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.

Module 1: Get Started with Microsoft Data Analytics
This module explores the different roles in the data space, outlines the important roles and responsibilities of a Data Analysts, and then explores the landscape of the Power BI portfolio.

Lesson
• Data Analytics and Microsoft
• Getting Started with Power BI

Module 2: Getting Data in Power BI
This module explores identifying and retrieving data from various data sources. You will also learn the options for connectivity and data storage and understand the difference and performance implications of connecting directly to data vs. importing it.

Lesson
• Data Analytics and Microsoft
• Optimize Performance
• Resolve Data Errors
Lab: Preparing Data in Power BI Desktop
• Prepare Data

Module 3: Cleaning, Transforming, and Loading Data in Power BI

This module teaches you the process of profiling and understanding the condition of the data. They will learn how to identify anomalies, look at the size and shape of their data, and perform the proper data cleaning and transforming steps to prepare the data for loading into the model.

Lesson
• Shaping the Data
• Profiling the Data
• Enhance the data structure
Lab: Loading Data in Power BI Desktop
• Loading Data

Module 4: Design a Data Model in Power BI
This module teaches the fundamental concepts of designing and developing a data model for proper performance and scalability. This module will also help you understand and tackle many of the common data modeling issues, including relationships, security, and performance.

Lesson
• Introduction to data modeling
• Working with tables
• Dimensions and Hierarchies
Lab: Data Modeling in Power BI Desktop
• Create Model Relationships
• Configure Tables and Column Properties
• Create hierarchies

Module 5: Create Model Calculations using DAX in Power BI
This module introduces you to the world of DAX and its true power for enhancing a model. You will learn about aggregations and the concepts of Measures, calculated columns and tables, and Time Intelligence functions to solve calculation and data analysis problems.

Lesson
• Introduction to DAX
• Real-time dashboards
• 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 in Power BI
In this module, you are introduced to steps, processes, concepts, and data modeling best practices necessary to optimize a data model for enterprise-level performance.

Lesson
• Optimize the data model for performance
• Optimize DirectQuery Models

Module 7: Create Reports in Power BI
This module introduces you to the fundamental concepts and principles of designing and building a report, including selecting the correct visuals, designing a page layout, and applying basic but critical functionality. The important topic of designing for accessibility is also covered.

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

Module 8: Create Dashboards in Power BI
In this module you will learn how to tell a compelling story through the use of dashboards and the different navigation tools available to provide navigation. You will be introduced to features and functionality and how to enhance dashboards for usability and insights.

Lesson
• Create a Dashboard
• Real-time Dashboards
• Enhance a Dashboard
Lab: Creating a Dashboard in Power BI Service
• Create a Dashboard
• Pin visuals to a Dashboard
• Use Q&A to create a dashboard tile

Module 9: Identify Patterns and Trends in Power BI
This module helps you apply additional features to enhance the report for analytical insights in the data, equipping you with the steps to use the report for actual data analysis. You will also perform advanced analytics using AI visuals on the report for even deeper and meaningful data insights.

Lesson
• Advanced Analytics
• Data Insights through AI visuals
Lab: Data Analysis in Power BI Desktop
• Create animated scatter charts
• Use the visual to forecast values

Module 10: Create and Manage Workspaces in Power BI
This module will introduce you to Workspaces, including how to create and manage them. You will also learn how to share content, including reports and dashboards, and then learn how to distribute an App.

Lesson
• Creating Workspaces
• Sharing and Managing Assets

Module 11: Manage Files and Datasets in Power BI
This module will introduce you to parameters and datasets. You will also learn how to manage datasets and parameters, build dynamic reports with parameters, and set dataset refresh options.

Lesson
• Parameters
• Datasets

Module 12: Row-level Security in Power BI
This module will introduce you to row-level security, both static and dynamic methods, and how to implement.

Lesson
• Security in Power BI
Lab: Enforce Row-Level Security
• Configure many-to-many relationships
• Enforce row-level security

Please note that this program prepares participants for the Microsoft Examination: PL-300: Microsoft Power BI Data Analyst. Cybiant is a registered Microsoft Learning Partner.

Learning Objectives

After completing this course, students 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

Target Audience

The primary audience for this course is data professionals and business intelligence professionals who want to learn how to accurately perform data analysis using Power BI. The secondary audiences for this course are individuals who develop reports that visualize data from the data platform technologies that exist on both in the cloud and on-premises.

Exam Structure

After the course, you will receive an exam voucher PL-300 Microsoft Power BI Data Analyst. With this exam voucher, you can schedule the Microsoft exam at an authorized test centre or online.

This exam measures your ability to accomplish the following technical tasks: prepare the data; model the data; visualize and analyze the data; and deploy and maintain assets.

Candidates for this training should be proficient in using Power Query and writing expressions by using DAX.

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%)

Downloads

Please find below the course brochure:

Reviews

There are no reviews yet.

Be the first to review “Power BI Data Analyst Associate (PL-300)”

Your email address will not be published.

Event Details

Cybiant offer the following learning options for this course:

Self-Paced-Online Learning - 3 months access
If your a choosing the Self-Paced-Online (SPO) learning option, you will complete the course on your own time, in your own pace. Cybiant will provide you with access to an online learning environment where you can watch videos, and practice with sample questions. The SPO option provides access for 3 months, and includes the official exam.

Virtual Training - 2x2 hours per day
If you are choosing the virtual training learning option, you will participate in a live course by a Cybiant instructor, which is delivered 100% online. You will receive meeting invitations to participate in the live lectures through the Zoom platform. There will be 2 x 2-hour sessions per day, so this option does provide you with flexibility to plan some other work. All sessions are recorded, in case you miss any of the session. All virtual training courses include the official examination, which will be taken online on the last day of class.

Classroom Training - full day
If you are choosing the classroom training option, you will participate in this training in a live class in a 5-star hotel. This training option provides you with the opportunity to discuss topics in detail with other course participants, and learn from their experience. You will be trained by one of our Cybiant experts, and will complete the exam on the last day of class. Training is conducted daily, based on the following time schedule:

Start time: 09:00 UTC+08

End time: 17:00 UTC+08

Title

Go to Top