
Explore Power BI's three components: desktop, service, and mobile—and learn how desktop transforms and models data, builds visuals, and dashboards; service enables sharing and collaboration; mobile offers on-the-go access.
Explore the building blocks of Power BI, including datasets, power query, data model, visualizations, and dashboards, and learn data import from Excel or SQL databases to reveal insights.
Navigate the flow of Power BI from connecting to data sources like Excel and SQL, through transformation and modeling, to building reports and publishing dashboards for mobile access.
Download and install Power BI Desktop on your computer to connect to data sources and load data from Excel, CSV, text, SQL Server, Azure SQL database, MySQL, PostgreSQL, and web.
Explore data connectivity in Power BI by comparing import and direct query modes, including data sources, real-time access, refresh schedules, DAX support, and size constraints.
Explore data transformation and cleaning in power bi, including changing data types, renaming, removing rows and columns, filtering, pivoting, unpivoting, splitting, merging, appending, and creating new columns.
Master data transformation and cleaning in Power BI, from basic tasks like changing data types and renaming columns to advanced steps such as pivoting, unpivoting, and merging.
Identify missing data and errors visually in Power BI, using data profiling and replace values. Group by region and product category, then apply sum and average aggregations for clean data.
Explore data modeling in Power BI by defining relationships—1 to 1, 1 to many, many to many—using primary and foreign keys, cross-filter direction, and star or snowflake schemas.
Master DAX basics for Power BI, covering aggregation, time intelligence, filtering, and measures, to enable data transformation with calculated columns for dynamic reports.
Explore Power BI visualizations and interactivity, including slicers, cards, maps, bookmarks, and page navigation, to analyze sales by region, category, country, and time with charts like pie, line, bar.
Power BI service, a cloud-based component, enables online report editing, sharing, and collaboration with dashboards and apps, while offering limited data modeling and seamless publishing from Power BI desktop.
Power BI service, a cloud-based platform, enables real-time data monitoring, easy sharing of dashboards and reports, remote access from anywhere, and automatic schedule-based data refresh to keep insights current.
Create and manage Power BI service workspaces to organize reports, dashboards, datasets, and data flows, control access with role-based permissions, and publish apps for broader sharing.
Explore Power BI service workspaces, roles, and permissions: admin with full control, member with edit rights, contributor with content upload, and viewer who can view and interact with content.
Apply data transformation at the source, remove unnecessary columns, use data types, limit visuals and interactions, and optimize power query scripts and DAX formulas; schedule incremental refresh during non-peak hours.
Understand the differences between Power BI Desktop and Power BI service, how they fit into a data analysis workflow, and how DAX creates calculated columns and measures for best-practice dashboards.
Description
Take the next step in your career! Whether you’re an emerging data analyst, an experienced business intelligence professional, an aspiring data scientist, or a budding researcher, this course is an opportunity to enhance your foundational knowledge in Power BI, increase your effectiveness in applying data visualization and analysis techniques, and make a positive and lasting impact on decision-making and business intelligence within your practice or organization.
With this course as your guide, you learn how to:
● All the basic functions and skills required for fundamental practices in Power BI, including data analysis techniques, visualization strategies, and effective application of business intelligence methods.
● Objectives, Introduction, Meaning, and Types of Data Analysis in Power BI, including the stakeholders interested in data evaluations and the goals of business intelligence strategies.
● Get access to recommended tools and resources for detailed information on fundamental data analysis techniques, visualization strategies, and best practices in Power BI.
● Learn about data analysis methods, understanding various visualization strategies, and how different Power BI techniques are applied, with useful tools and frameworks to enhance your practice in business intelligence.
● Invest in your professional development today and experience the benefits of enhanced data analysis skills and effective business intelligence strategies for years to come.
The Frameworks of the Course
● Engaging video lectures, case studies, assessments, downloadable resources, and interactive exercises. This course is designed to teach the objectives, introduction, and fundamental concepts of data analysis, various types of data visualizations, and the key stakeholders in business intelligence. Part 1: Basics of Data analysis and visualization,
● Data analysis techniques, understanding different types of visualizations (such as dashboards and reports), and how various Power BI functionalities are applied. Evaluating different data tools, assessing their effectiveness, and understanding their impact on business intelligence. Implementing strategies for data-driven decision-making and enhancing business outcomes.
● The course includes multiple case studies, resources such as data analysis tools, visualization templates, worksheets, and reading materials, along with quizzes, self-assessments, practical exercises, and assignments to enhance and deepen your understanding of data analysis, business intelligence strategies, and their applications in Power BI.
● In the first part of the course, you’ll explore the objectives and foundational concepts of Power BI, including understanding different data analysis techniques and visualization strategies. You’ll learn about the various stakeholders in business intelligence and the goals of data-driven decision-making. Part 1: Basics of Data analysis and visualization
● In the middle part of the course, you’ll develop a comprehensive understanding of data analysis in Power BI, including various visualization techniques and their applications in different business contexts. You’ll explore data analysis methods, visualization strategies, and how to evaluate and apply different Power BI functionalities. This section will help you gain insights into the practical aspects of business intelligence and apply these techniques effectively.
● In the final part of the course, you’ll develop expertise in designing and implementing data visualization and analysis strategies, evaluating their effectiveness, and understanding the limitations of various Power BI functionalities. You will receive full support, and all your queries will be answered within 48 hours to ensure you can apply what you’ve learned effectively.
Course Content:
Part 1
1. Introduction to Power BI:Overview of power BI
2. Functions of Power BI: Introduction to function of Power BI
3. Components of Power BI: Introduction to Components of Power BI
4. Building blocks of Power BI: Introduction to building blocks of Power Bi
5. Flow of Power BI: Introduction to Flow of Power BI
6. Getting Started with Power BI Desktop: Introduction to Getting Started with Power BI Desktop
7. Data connectivity: Introduction to Data connectivity
8. Data Transformation & Cleaning: Introduction to Data Transformation & Cleaning
9. Data Analysis Expressions (DAX): Introduction to Data Transformation & Cleaning
10. Visualizations: Introduction to Visualizations
11. Power BI Service: Introduction to Power BI Service
12. Tips & Best Practices: Introduction to Tips & Best Practices
Part 2
Assignments
Power BI Dashboard examples
Create a sample power BI dashboard
Power BI Assignment: Sales Performance Dashboard