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Mohannad Alhariri

- Power BI is becoming the most powerful self-service business intelligence platform, and an absolutely essential tool for data professionals and beginners alike

- A comprehensive, guide to learning Microsoft Power BI Desktop.

- You can connect to hundreds of data sources, build complex relational models using simple and intuitive tools,

- You can design stunning, interactive dashboards from scratch

- You'll Lead Business Intelligence Analyst for business case, to design and deliver a professional business intelligence solution.

Read more

- Power BI is becoming the most powerful self-service business intelligence platform, and an absolutely essential tool for data professionals and beginners alike

- A comprehensive, guide to learning Microsoft Power BI Desktop.

- You can connect to hundreds of data sources, build complex relational models using simple and intuitive tools,

- You can design stunning, interactive dashboards from scratch

- You'll Lead Business Intelligence Analyst for business case, to design and deliver a professional business intelligence solution.

- Don't worry, I'll be with you to get dirty with this project step - by- step

- Whether you're a casual Power BI user, aspiring analyst, or data science professional, this course will give you the tools you need to become an absolute Power BI expert, Guaranteed

- Students will be able to comfortably work with the different tools of the Power BI universe and know how the different tools work together

Course Structure :

- Section 1 : Introduction to Data analysis and power Bi Desktop

- Section 2 : Connection and Shaping Data

- Section 3: Table Relationships and Data Model

- Section 4: Analyzing Data with DAX

- Section 5: Data Visualization with Power BI Desktop

Who this course is for:

  • Data Analysts

  • Excel users hoping to develop advanced data modeling, dashboard design, and business intelligence skills

  • Anyone looking to pursue a career in data analysis or business intelligence

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What's inside

Learning objectives

  • Understand the business intelligence workflow
  • Transform raw data into an interactive dashboards
  • Build professional-quality business intelligence reports from the ground up

Syllabus

Introduction
2. Connection and Shaping Data
Introduction and adjusting settings in Power Bi
2-2.Transform data in power bi
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Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Transforms raw data into interactive dashboards, which is essential for professionals aiming to present insights effectively
Covers DAX, a formula language used in Power BI, which is essential for performing calculations and data analysis
Explores data visualization techniques, enabling learners to create compelling and informative reports
Teaches how to connect to hundreds of data sources, which is useful for analysts working with diverse datasets
Requires learners to work with Power BI Desktop, which may necessitate a software license or subscription
Focuses on an older version of Power BI Desktop, which may not reflect the latest features and updates

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Reviews summary

Comprehensive power bi desktop introduction

According to learners, this course provides a solid foundation for understanding Power BI Desktop, covering essential steps from data connection and transformation to building reports and visualizations. Many students praised the instructor's clear explanations and the course's practical, hands-on approach with helpful examples and projects that aid immediate application. While the course is widely considered excellent for beginners getting started with Power BI, some learners found the DAX section rushed or not detailed enough, requiring external resources to fully grasp complex functions, suggesting it might be less suitable for those seeking deep expertise in DAX. Overall, it is a highly recommended introduction to Business Intelligence with Power BI.
Varies in perceived depth and clarity.
"DAX section is okay but could be more in-depth for intermediate users."
"The DAX section is confusing and does not go into enough detail."
"Like others, I found the DAX part could be more detailed."
"Mixed feelings... the DAX section is definitely lacking."
"The DAX part was initially challenging, but the examples helped."
"explains complex topics like DAX... in an easy-to-understand way."
Excellent starting point for new users.
"Overall, a solid foundation for beginners."
"Good starting point..."
"Useful for getting up to speed quickly."
"Great for beginners and those looking for a structured approach..."
"Not for someone who already knows the basics..."
Covers core Power BI features well.
"It covered everything from connecting data sources to building complex models and creating stunning visualizations."
"Cubre todos los aspectos fundamentales de Power BI Desktop."
"A comprehensive overview of Power BI."
"It covers Power BI Desktop from start to finish..."
"Solid foundation. Covers most aspects you need to get started."
Strong focus on hands-on exercises and projects.
"...provided practical examples. I feel confident using Power BI for my work projects now."
"Very practical and hands-on approach. I loved the step-by-step project walk-throughs."
"The hands-on project solidified my learning."
"Practical examples were key to my learning. I feel ready to tackle BI projects at work."
Instructor explains concepts clearly and effectively.
"The instructor explained everything clearly and provided practical examples."
"La explicación del instructor es muy clara y concisa."
"The instructor is excellent, making complex topics approachable."
"The instructor's teaching style is clear and engaging."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Business Intelligence with Power BI Desktop with these activities:
Review Excel Fundamentals
Strengthen your Excel skills to better understand Power BI's data manipulation capabilities. Excel is a common starting point for many Power BI users, so refreshing these skills will provide a solid foundation.
Browse courses on Excel Formulas
Show steps
  • Practice using common Excel functions like VLOOKUP, SUMIF, and COUNTIF.
  • Create pivot tables to summarize and analyze data.
  • Build charts and graphs to visualize data trends.
Explore 'M is for Data Monkey'
Learn Power Query (M) to clean and transform data effectively. This book provides a practical guide to using Power Query's features.
Show steps
  • Read the book and follow along with the examples.
  • Practice using Power Query to transform different types of data.
  • Experiment with different Power Query functions to achieve desired results.
Read 'The Definitive Guide to DAX'
Deepen your understanding of DAX, the formula language used in Power BI, to perform advanced data analysis. This book provides a comprehensive guide to DAX concepts and functions.
Show steps
  • Read the book cover to cover, focusing on chapters related to your specific needs.
  • Work through the examples provided in the book to solidify your understanding.
  • Experiment with DAX formulas in Power BI to apply what you've learned.
Four other activities
Expand to see all activities and additional details
Show all seven activities
DAX Function Exercises
Improve your DAX skills by completing a series of practice exercises focused on different DAX functions. This will help you become more comfortable with DAX syntax and logic.
Show steps
  • Find online resources or create your own exercises focusing on specific DAX functions.
  • Practice writing DAX formulas to solve different data analysis problems.
  • Test your formulas in Power BI to ensure they produce the correct results.
Write a Blog Post on a Power BI Feature
Solidify your understanding of a specific Power BI feature by writing a blog post explaining its functionality and benefits. This activity will help you communicate your knowledge to others and reinforce your own learning.
Show steps
  • Choose a Power BI feature that you want to learn more about.
  • Research the feature and its use cases.
  • Write a blog post explaining the feature in a clear and concise manner.
  • Include examples and screenshots to illustrate the feature's functionality.
Build a Personal Finance Dashboard
Apply your Power BI skills to a real-world project by creating a dashboard to track your personal finances. This project will help you solidify your understanding of data connection, transformation, modeling, and visualization.
Show steps
  • Gather your financial data from various sources (bank accounts, credit cards, etc.).
  • Connect to your data sources in Power BI and transform the data as needed.
  • Create a data model to represent your financial data.
  • Design and build interactive visualizations to track your income, expenses, and net worth.
Design a Sales Performance Dashboard
Create a professional-quality sales performance dashboard using Power BI. This project will test your ability to connect to data sources, build data models, and design effective visualizations.
Show steps
  • Define the key performance indicators (KPIs) that you want to track.
  • Gather sales data from various sources (CRM, spreadsheets, etc.).
  • Connect to your data sources in Power BI and build a data model.
  • Design and build interactive visualizations to track sales performance against KPIs.
  • Share your dashboard with stakeholders and gather feedback.

Career center

Learners who complete Business Intelligence with Power BI Desktop will develop knowledge and skills that may be useful to these careers:
Business Intelligence Analyst
A Business Intelligence Analyst uses data to help organizations make better decisions. This role involves gathering and analyzing data, creating reports and dashboards, and presenting findings to stakeholders. This course is designed to help develop the necessary skills to work with data, create visualizations, and build interactive dashboards using Power BI enabling an aspiring Business Intelligence Analyst to transform raw data into actionable insights. It covers connecting to data sources, building data models, and using DAX to analyze data, all of which are essential for this role, and will ensure you can not only do your job, but do it well.
Data Analyst
Data Analysts are responsible for collecting and interpreting data to identify trends and patterns. This role involves working with various data sets, using analytical tools, and communicating findings through visualizations and reports. This course helps build a foundation for the Data Analyst role by teaching how to connect to various data sources, shape and transform data, and create interactive dashboards using Power BI. The course also covers data modeling and using DAX for in-depth analysis, which are critical for any Data Analyst, enabling you to do more than simply present data; you will be able to interpret and explain it.
Report Developer
A Report Developer creates visual reports and dashboards that present data in an understandable format. This position involves using reporting tools to design, develop, and deploy reports that meet business requirements. This course is an excellent way to learn to connect to various data sources, transform data, and design interactive dashboards using Power BI which are fundamental skills for a Report Developer. The course also focuses on data visualization, which is essential to present insights effectively, meaning you will have the crucial advantage of conveying your findings in a way that others can understand.
Data Visualization Specialist
A Data Visualization Specialist focuses on presenting data in a visually appealing and easy to understand format. This role requires expertise in using data visualization tools and techniques to communicate complex information. This course on Power BI Desktop directly addresses the needs of a Data Visualization Specialist, through its modules on creating interactive dashboards and using various data visualization techniques. By understanding how to transform raw data into interactive dashboards using Power BI, you will be able to create impressive and informative visuals.
Database Analyst
A Database Analyst works with databases to organize, analyze, and safeguard an organization's data. This role includes database design, data modeling, and using query languages to create reports and visualizations. This course can help you build a foundation for work as a Database Analyst, since it teaches students how to connect to data sources, build complex relational models, and analyze data with DAX, using Power BI. By learning the data modeling and analysis aspects of this course, a Database Analyst can more effectively manage and interpret data.
Financial Analyst
A Financial Analyst uses data to analyze financial performance, prepare reports, and make recommendations to improve profitability. This role requires strong analytical skills and the ability to use data visualization tools to present findings. This course may be useful to a Financial Analyst because it covers how to connect to various data sources, build data models, and create interactive dashboards with Power BI. The data analysis and reporting capabilities taught here can help a Financial Analyst visualize trends and present critical financial information, although additional training in finance will be necessary.
Marketing Analyst
Marketing Analysts are responsible for analyzing marketing data to measure the effectiveness of campaigns and identify opportunities for improvement. They work with various datasets and use analytical tools to generate reports and dashboards. This course may be useful for a Marketing Analyst by teaching students to connect to data sources, build data models, and create visualizations using Power BI. With these skills, a Marketing Analyst can better understand marketing data and present it in an effective format, though some marketing training will be necessary.
Operations Analyst
An Operations Analyst examines operational data to improve processes and efficiency within an organization. This role involves data analysis, report creation, and designing visualizations. This course may be useful, as it teaches how to connect to data sources, build data models, and create visualizations using Power BI, all of which could be helpful when trying to analyze operational data. The course goes into enough detail that an Operations Analyst could transform raw data into interactive dashboards, making the job easier.
Data Consultant
A Data Consultant works with clients to assess their data needs, design data solutions, and implement data strategies. This role requires strong analytical skills, experience with data tools, and the ability to communicate complex technical concepts clearly. This course may be useful to a Data Consultant because it covers how to use Power BI to connect to data sources, build data models, and create interactive visualizations. By learning these skills, a Data Consultant can better help clients utilize data to improve their business, though more advanced training will be required.
Sales Analyst
A Sales Analyst is responsible for tracking and analyzing sales data to identify trends and opportunities for growth. This role involves creating reports and dashboards to communicate sales performance to stakeholders. This course may be useful to a Sales Analyst, since it covers how to connect to data sources, build data models, and create interactive dashboards using Power BI. The data analysis and reporting capabilties taught here will help a Sales Analyst visualize patterns and present this data in a digestible format, although some sales-specific training will be required.
Market Research Analyst
A Market Research Analyst studies market conditions to assess the potential sales of a product or service. This position requires skills in data analysis, visualization, and report creation. This course may be useful for a Market Research Analyst, since it teaches how to use Power BI to connect to data, build data models, and design interactive dashboards. Although some training in market analysis will be needed, these skills will allow a Market Research Analyst to take raw data and transform it into useful charts and graphs.
Analytics Manager
An Analytics Manager is responsible for leading a team of data professionals and overseeing the development of data-driven insights. They need a strong understanding of data analysis techniques as well as experience with reporting and visualization tools. This course may be useful to Analytics Managers, as the skills of data transformation, data modeling, and dashboard design are all taught using Power BI. A deeper understanding of the tools used by one's team helps an Analytics Manager lead more effectively, although management training will also be required.
Supply Chain Analyst
A Supply Chain Analyst uses data to optimize supply chain operations, reduce costs, and improve efficiency. This role requires analytical skills, experience with data tools, and the ability to present findings to management. This course may be useful to a Supply Chain Analyst as it teaches students to connect to data sources, build data models, and create visualizations using Power BI. It would help a Supply Chain Analyst organize and interpret data, although specific training in supply chain management will be needed.
Project Manager
A Project Manager is responsible for planning, executing, and closing projects. This role involves managing resources, timelines, and budgets. Although the core responsibilities of a project manager lie elsewhere, this course may be useful because it teaches how to create data visualizations and reports. The project manager can use these visualizations to communicate progress, identify risks, and keep stakeholders informed through reports. Though not a central skill, this helps communicate critical project information.
Quality Assurance Analyst
A Quality Assurance Analyst is responsible for monitoring and analyzing processes to ensure quality standards are met. This role may involve working with data, creating reports, and communicating findings to stakeholders. This course may be useful to a Quality Assurance Analyst, as it teaches how to connect to data sources, build data models, and create visualizations using Power BI. Although not a core skill, the ability to transform raw data will come in handy for many Quality Assurance Analysts.

Reading list

We've selected two books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Business Intelligence with Power BI Desktop.
Is considered the bible for DAX (Data Analysis Expressions), the formula language used in Power BI. It provides a comprehensive understanding of DAX concepts, functions, and best practices. Reading this book will significantly enhance your ability to perform complex data analysis and create powerful calculations in Power BI. It valuable reference for both beginners and experienced users.
Focuses on Power Query (also known as 'M'), the data transformation engine in Power BI. It provides a practical guide to cleaning, shaping, and transforming data using Power Query's powerful features. While not strictly required, mastering Power Query will significantly improve your ability to work with messy or complex data sources. This book is more valuable as additional reading to expand your knowledge of data transformation.

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