Launch your career in Advanced Power BI Business Intelligence by developing in-demand skills and become job-ready in 30 hours or less.
Highlights
Upgrade your career with top notch training
- Enhance Your Skills: Gain invaluable training that prepares you for success.
- Instructor-Led Training: Engage in interactive sessions that include hands-on exercises for practical experience.
- Flexible Online Format: Participate in the course from the comfort of your home or office.
- Accessible Learning Platform: Access course content on any device through our Learning Management System (LMS).
- Flexible Schedule: Enjoy a schedule that accommodates your personal and professional commitments.
- Job Assistance: Benefit from comprehensive support, including resume preparation and mock interviews to help you secure a position in the industry.
Outcomes
By the end of this course, participants will be equipped with:
- Proficiency in the Power BI Interface: Participants will navigate the Power BI Desktop interface confidently and utilize its advanced features to manipulate and visualize data effectively.
- Connection to Diverse Data Sources: Learners will establish connections to various data sources and understand how to import and prepare data for analysis.
- Advanced Data Modeling Skills: Participants will create and manage complex data models, including establishing relationships between multiple tables.
- Expertise in DAX Calculations: Learners will write and implement advanced DAX formulas to perform complex calculations and gain deeper insights from their data.
- Creation of Interactive Visualizations: Participants will generate a variety of interactive visualizations and reports, applying best practices for data storytelling and presentation.
- Development of Dynamic Dashboards: Learners will design and implement comprehensive dashboards integrating multiple data visualizations that allow for real-time analysis and user interaction.
- Understanding of AI Features in Power BI: Participants will leverage built-in AI capabilities within Power BI to extract insights and perform predictive analytics based on their datasets.
- Effective Use of Power BI Service: Learners will publish and share reports through Power BI Service, understand workspace management, and collaborate with team members effectively.
- Implementation of Data Security Measures: Participants will apply Row-Level Security (RLS) and other security best practices to ensure sensitive data is accessible only to authorized users.
- Real-World Application of Skills: Through hands-on projects and exercises, participants will translate their theoretical knowledge into practical skills applicable to real-world business scenarios.
- Preparation for Professional Growth: Participants will be prepared for advanced roles in data analytics and business intelligence, with skills that enhance their employability and potential for certification.
About
Welcome to “Advanced Power BI: Mastering Data Analytics and Visualization,” a comprehensive training course designed to elevate your skills in data analysis and visualization using Microsoft Power BI. This course is tailored for individuals who have a foundational understanding of Power BI and are eager to explore its advanced features to unlock the full potential of their data.
In today’s data-centric world, the ability to analyze and visualize data effectively is crucial for making informed business decisions. This course provides a deep dive into advanced Power BI functionalities, including data modeling, complex DAX calculations, and the creation of interactive dashboards that enable you to present data insights compellingly.
Key Learnings
- Gain advanced skills in navigating and utilizing the Power BI interface effectively, including the use of all essential features and tools.
- Learn how to connect Power BI to a variety of data sources, including databases and Microsoft Excel, and manage data loading and preparation processes.
- Understand how to create and manage complex data models, including the establishment of relationships between various data tables.
- Develop the ability to write advanced DAX formulas for complex calculations, performance metrics, and time-based analysis, increasing your analytical capabilities in Power BI.
- Learn how to create a range of advanced visualizations and customize them to better convey insights, utilizing best practices in data visualization.
- Design and implement interactive dashboards that incorporate filters, slicers, and drill-through capabilities, enhancing user engagement and data exploration.
- Leverage Power BI’s AI features, including Quick Insights and Key Influencer visuals, to gain deeper analytical insights and predictive capabilities.
- Understand how to publish and share reports via Power BI Service, manage workspaces, and collaborate with stakeholders effectively.
- Learn to secure reports by implementing Row-Level Security (RLS) and understanding how to manage user permissions in the Power BI environment.
- Apply concepts learned through practical exercises and case studies that simulate real-business scenarios, enhancing your ability to solve organizational data challenges.
Pre-requisites
Participants should have completed an introductory course in Power BI. <Power BI for Beginners> course is recommended.
An understanding of business intelligence terminology and methodologies can enhance the learning experience.
Job roles and career paths
This training will equip you for the following job roles and career paths:
- Power BI Developer
- Business Intelligence Analyst
- Data Analyst
- Power BI Consultant
- Data Visualization Specialist
Advanced Power BI: Mastering Data Analytics and Visualization
The demand for the “Advanced Power BI: Mastering Data Analytics and Visualization” course is fueled by the increasing reliance of businesses on data-driven decision-making and the need for professionals skilled in data visualization and analytics. As organizations across various industries seek to harness the power of their data, the ability to effectively analyze and present information using tools like Power BI has become increasingly essential. Consequently, individuals with advanced Power BI skills are highly sought after, creating strong job prospects and career advancements in the fields of data analytics and business intelligence.
Topics of Course
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Overview of the Power BI Desktop workspace.
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Understanding the different panes: Fields, Visualizations, and Reports.
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Navigating the ribbon and available tools.
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Exercise: Explore the Power BI Desktop interface and identify key features and functionalities.
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Importing data from Excel, CSV files, SQL databases, and online services.
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Connecting to Sharepoint.
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Exercise: Connect Power BI to a dataset from an Excel file and a SQL database.
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Explanation of different types of relationships: one-to-one, one-to-many, and many-to-many.
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Creating and editing relationships using the Model view.
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Managing relationship direction and filtering implications.
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Exercise: Create and manage relationships between multiple tables in a sample dataset.
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Using Query Editor for data transformations: filtering, sorting, and cleaning data.
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Analyzing data quality and profiling datasets in Power BI.
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Techniques for data shaping and aggregation.
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Exercise: Use Query Editor to clean and prepare a dataset by applying various transformations.
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Key concepts of DAX: measures, calculated columns, and calculated tables.
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Commonly used DAX functions: CALCULATE, FILTER, and TIME INTELLIGENCE functions.
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Exercise: Create complex measures using DAX to analyze sales data from a provided dataset.
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Creating hierarchies to improve data navigation in reports.
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Implementing drill-down features in visualizations for deeper insights.
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Exercise: Build a report that incorporates hierarchies and allows for drill-down analysis.
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Overview of built-in visualizations and when to use them: bar charts, line charts, scatter plots, maps, and more.
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Customizing visualizations for better presentation and analysis.
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Best practices for effective data visualization.
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Exercise: Create a comprehensive dashboard using various visualization types to present data meaningfully.
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Using Quick Insights and AI visuals (e.g., Key Influencers, Decomposition Tree).
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Introduction to integrating machine learning models into Power BI.
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Exercise: Utilize AI features to generate insights and produce visualizations based on a sample dataset.
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Publishing reports to Power BI Service and sharing options.
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Overview of workspaces, apps, and permissions management.
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Collaborating with other users and co-authoring reports
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Exercise: Publish a report created during the course to the Power BI Service and share it with mock users.
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Data security measures: Row-Level Security (RLS) and permissions in the Power BI Service.
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Understanding governance and compliance considerations when sharing data.
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Exercise: Implement Row-Level Security (RLS) in a sample report to ensure that different users only see the data that is relevant to them.
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Exercise: Set up user roles and permissions within Power BI Service and test the security settings.
