AlignmentExchange

Power BI - Data Analyst

PL-300

Empower Your Analytics Journey with Power BI Mastery

Becoming a Power BI Data Analyst entails a transformative journey into the world of data analysis. As a prospective candidate for this certification, you are poised to play a pivotal role in bridging the gap between raw data and strategic insights. Your expertise in leveraging Power BI empowers you to transform complex datasets into visually engaging and easily interpretable representations, driving informed decision-making across your organization.

Power BI serves as your versatile toolkit, enabling you to seamlessly integrate data from various sources, craft robust data models, and create compelling visualizations that highlight trends, patterns, and opportunities. Your proficiency in Power Query and Data Analysis Expressions (DAX) empowers you to efficiently clean, transform, and enrich data, ensuring its accuracy and relevance. Moreover, your grasp of data security protocols, including row-level security and data sensitivity, ensures the confidentiality and integrity of your analytical outputs.

By immersing yourself in the realm of data analysis with Power BI, you unlock the potential to be the driving force behind data-driven strategies. As businesses increasingly rely on data insights to steer their growth, your mastery of Power BI positions you as a sought-after professional capable of delivering impactful insights, facilitating self-service analytics, and influencing key decisions. In a data-centric landscape, acquiring proficiency in Power BI is not just a certification; it’s a strategic investment in your career’s trajectory and a step towards becoming a true data analysis visionary.

Overview

Embark on a transformative journey as a Power BI Data Analyst, where you wield the power of data to deliver actionable insights and drive strategic decision-making. With an arsenal of Power BI tools at your disposal, you seamlessly integrate diverse data sources, create dynamic visualizations, and ensure data accuracy through adept use of Power Query and Data Analysis Expressions (DAX). Your expertise extends to data security protocols, safeguarding the integrity of your analyses. As a bridge between raw data and strategic insights, you become a pivotal figure in influencing business trajectories through compelling, data-driven narratives.

Education is the most powerful weapon which you can use to change the world.

Nelson Mandela

Curriculum

Topics Covered

Get started with Microsoft Data Analytics

Are you interested in delving into the experience of a data analyst and discovering how they craft compelling narratives from data? In this module, you’ll embark on a journey through various data roles, gaining insight into the diverse responsibilities of a data analyst.

  1. Introduction
  2. Overview of data analysis
  3. Roles in data
  4. Tasks of a data analyst

Discover the fundamentals of Power BI, unraveling its core components and their seamless interplay.

  1. Using Power BI
  2. Building blocks of Power BI
  3. Tour and use the Power BI Service

Prepare data for analysis with Power BI

Unlock the skills to extract data from diverse sources like Microsoft Excel, relational databases, and NoSQL data stores. Elevate performance optimization techniques in data retrieval.

  1. Get data from files
  2. Get data from relational data sources
  3. Create dynamic reports with parameters
  4. Get data from a NoSQL database
  5. Get data from online services
  6. Select a storage mode
  7. Get data from Azure Analysis Services
  8. Fix performance issues
  9. Resolve data import errors
  10. Prepare data in Power BI Desktop

Power Query boasts an array of robust features tailored to streamline data cleansing and preparation for analysis. Dive into simplifying complex models, altering data types, object renaming, and pivoting. Uncover the art of column profiling to pinpoint columns containing pivotal data for enhanced insights in your analytical journey.

Model data with Power BI

Embark on a module delving into the Power BI Desktop model framework, fundamentals of star schema design, analytics queries, and configuring report visuals. This segment establishes a sturdy groundwork for mastering model enhancement and the integration of intricate model calculations, enabling you to elevate your proficiency.

  1. Star schema design
  2. Analytic queries
  3. Configure report visuals

Explore model architectures, their advantages, constraints, and functionalities that empower the fine-tuning of your Power BI data models for optimal performance.

  1. Describe Power BI model fundamentals
  2. Determine when to develop an import model
  3. Determine when to develop a DirectQuery model
  4. Determine when to develop a composite model
  5. Choose a model framework

Crafting intricate data models in Power BI follows a straightforward path. As data streams in from various transactional systems, you might find yourself juggling numerous tables. The art of constructing an exceptional data model lies in streamlining this complexity. Enter the star schema, a method to simplify data models, and delve into its vocabulary and execution within this module. Understand the significance of selecting the right data granularity for both performance and user-friendliness of your Power BI reports. Moreover, discover techniques to enhance the performance of your Power BI data models.

  1. Work with tables
  2. Create a date table
  3. Work with dimensions
  4. Define data granularity
  5. Work with relationships and cardinality
  6. Resolve modeling challenges
  7. Model data in Power BI desktop

This module will equip you with the skills to author DAX formulas for crafting calculated tables, calculated columns, and measures – distinct categories of model calculations. Uncover the art of composing and formatting DAX formulas, comprised of expressions that leverage functions, operators, references to model elements, constants, and variables. Master the finesse of DAX scripting to empower your Power BI journey.

  1. What is DAX
  2. Write DAX formulas
  3. DAX data types
  4. Work with DAX functions
  5. Use DAX operators
  6. Use DAX variables

Within this module, you’ll delve into the realm of implicit and explicit measures, commencing with the crafting of uncomplicated measures that condense singular columns or tables. As you progress, you’ll advance to constructing intricate measures, rooted in other existing measures within the model. Furthermore, you’ll uncover the parallels and distinctions between a calculated column and a measure, enriching your comprehension of Power BI’s analytical potential.

  1. Create simple measures
  2. Create compound measures
  3. Create quick measures
  4. Compare calculated columns with measures
  5. Create DAX Calculations

Upon completing this module, you’ll have acquired the capability to seamlessly incorporate calculated tables and columns into your data model. You’ll gain the proficiency to articulate the concept of row context, a pivotal element in evaluating calculated column formulas. As you navigate the intricacies of column addition through Power Query, you’ll also ascertain the optimal scenarios for employing calculated columns over Power Query custom columns, ensuring informed decision-making in your model enhancement endeavors.

  1. Create calculated columns
  2. Learn about row context
  3. Choose a technique to add a column

Upon concluding this module, you will have acquired a comprehensive understanding of time intelligence and its significance. You’ll be adept at integrating time intelligence DAX calculations into your model, enabling you to harness temporal data for insightful analysis and decision-making.

  1. Use DAX time intelligence functions
  2. Additional time intelligence calculations
  3. Create Advanced DAX calculations

Performance optimization, often referred to as performance tuning, entails refining the existing state of the data model to enhance its operational efficiency. In essence, achieving optimization results in improved performance of your data model.

  1. Introduction to performance optimization
  2. Review performance of measures, relationships, and visuals
  3. Use variables to improve performance and troubleshooting
  4. Reduce cardinality
  5. Optimize DirectQuery models with table level storage
  6. Create and manage aggregations

Implement model security within Power BI by employing techniques such as row-level security and object-level security.

  1. Restrict access to Power BI model data
  2. Restrict access to Power BI model objects
  3. Apply good modeling practices
  4. Enforce model security

Build Power BI visuals and reports

Collecting relevant inputs for defining the scope of your report design necessitates recognizing your target audience, selecting appropriate report formats, and outlining their interface and experience prerequisites. This module establishes a robust groundwork for mastering the art of planning your report design requisites.

  1. Identify the audience
  2. Determine report types
  3. Define user interface requirements
  4. Define user experience requirements
  5. Explore report designs

Given that Power BI encompasses over 30 fundamental visuals, beginners may find it daunting to choose the right visual. This module serves as a guiding resource to help you navigate the process of selecting the most suitable visual type that aligns with your design and report layout needs.

  1. Design the analytical report layout
  2. Design visually appealing reports
  3. Report objects
  4. Select report visuals
  5. Select report visuals to suit the report layout
  6. Format and configure visualizations
  7. Work with key performance indicators

Navigating the realm of report filtering in Microsoft Power BI can be intricate due to the array of available techniques. Yet, this complexity equips you with a high degree of control, enabling the creation of reports that precisely fulfill requirements and anticipations. Certain filtering methods come into play during the design phase, while others take effect when the report is being consumed (in reading view). What remains paramount is that your report’s design facilitates an intuitive experience for consumers, empowering them to effortlessly delve into the specific data elements of their interest.

  1. Introduction to designing reports for filtering
  2. Apply filters to the report structure
  3. Apply filters with slicers
  4. Design reports with advanced filtering techniques
  5. Consumption-time filtering
  6. Select report filter techniques
  7. Configure filters based on feedback

The content and functionalities discussed within this module will empower you to elevate your reports, refining them for a more polished and sophisticated presentation.

  1. Design reports to show details
  2. Design reports to highlight values
  3. Design reports that behave like apps
  4. Work with bookmarks
  5. Design reports for navigation
  6. Work with visual headers
  7. Design reports for navigation
  8. Work with visual headers
  9. Design reports with built-in assistance
  10. Tune report performance
  11. Optimize reports for mobile use
  12. Enhance reports

In this module, you will gain proficiency in utilizing Power BI for data analysis tasks. You’ll acquire the skills to detect outliers, group and categorize data, and create data bins for comprehensive analysis. Furthermore, you’ll delve into time series analysis techniques. Lastly, you’ll explore advanced analytical capabilities of Power BI, encompassing Quick Insights, AI-driven insights, and the Analyze feature.

  1. Introduction to analytics
  2. Explore statistical summary
  3. Identify outliers with Power BI visuals
  4. Group and bin data for analysis
  5. Apply clustering techniques
  6. Conduct time series analysis
  7. Use the Analyze feature
  8. Create what-if parameters
  9. Use specialized visuals
  10. Use AI for visuals

Paginated reports empower report developers to craft Power BI creations with precise rendering specifications. These reports excel at producing documents like sales invoices, receipts, purchase orders, and structured data displays. This module guides you through the process of report creation, parameter incorporation, and the utilization of tables and charts within paginated reports.

  1. Introduction to paginated reports
  2. Get data
  3. Create a paginated report
  4. Work with charts on the report
  5. Publish the report

Manage workspaces and datasets in Power BI

Acquire the skills to seamlessly traverse the Power BI service, establish and oversee workspaces and associated elements, and effectively disseminate reports to users.

  1. Distribute a report or dashboard
  2. Monitor usage and performance
  3. Recommend a development life cycle strategy
  4. Troubleshoot data by viewing its lineage
  5. Configure data protection

Leverage the capabilities of Microsoft Power BI to streamline your reporting process by utilizing a single dataset for multiple reports. Enhance efficiency further through automated dataset refresh schedules and effective resolution of connectivity issues.

  1. Use a Power BI Gateway to connect to on-premises data sources
  2. Configure a dataset scheduled refresh
  3. Configure incremental refresh settings
  4. Manage and promote datasets
  5. Troubleshoot service connectivity
  6. Boost performance with query caching

Distinguishing from Power BI reports, Microsoft Power BI dashboards enable personalized, focused data representation. Dashboards amalgamate pinned visuals sourced from various reports, providing users with a unique, tailored artifact. Unlike reports tied to a single dataset, dashboards can integrate visuals from multiple datasets, offering a versatile perspective on data insights.

  1. Introduction to Dashboards
  2. Explore data by asking questions
  3. Review Quick Insights
  4. Add a dashboard theme
  5. Pin a live report page to a dashboard
  6. Configure a real-time dashboard
  7. Configure data classification
  8. Set mobile view
  9. Create a dashboard

Row-level security (RLS) empowers the creation of customized reports tailored to specific users or user groups. In this module, you’ll delve into the implementation of RLS, exploring both static and dynamic approaches. Microsoft Power BI streamlines the testing process for RLS, offering seamless evaluation within both Power BI Desktop and the Power BI service.

  1. Configure row-level security with the static method
  2. Configure row-level security with the dynamic method
  3. Enforce row-level security

Course Duration

4 Days

Choose the training options that match your preferences from the list below.

Remote Training

Transform your future through interactive remote training with expert-led virtual classrooms.

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Onsite Training

Elevate your skills with hands-on onsite training led by industry experts. Enroll now for excellence!

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View Only

Attend our training via Teams in view mode only. Watch, learn, and stay connected with ease!

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TEAMS Development

  • Design applications that enhance remote collaboration and communication within Microsoft Teams.
  • Build interactive features for virtual meetings and discussions, fostering remote teamwork.
  • Stay current with tech trends, mastering modern app development and cloud integration for remote solutions.

What you Get

  • You will get a comprehensive set of materials and resources designed to provide a well-rounded learning experience.
  • Receive course manuals or syllabus, lecture slides, practical exercises, assessments such as quizzes or exams.
  • Access our online learning platform or virtual classrooms, and interact with instructors and other students.

Power BI - Introduction

Introduction to creating and sharing basic data visualizations.

Power BI - Data Analyst

Analyze and transform data into actionable insights using Power BI.

Power BI - Advanced Developer

Design and implement advanced analytics solutions with Power BI.

Onsite Training

Customized in-person training at the workplace, or in-class training, convenient and cost-effective.

Remote Training

Learning via Teams remotely online, offers online video conferencing for convenient and flexible access.

Hybrid Training

Combining on-site and remote training, we provide a comprehensive training experience.