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Creating Reports with Power BI

Nikola Ilic

Building a data-driven story is one of the core requirements for effective business decision-making. This course will teach you how to design and configure comprehensive reporting solutions with Microsoft Power BI.

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Building a data-driven story is one of the core requirements for effective business decision-making. This course will teach you how to design and configure comprehensive reporting solutions with Microsoft Power BI.

You learned the basics of Power BI: how to connect to different data sources, bring the data into Power BI Desktop, shape and transform your data, etc. Now it’s time to pull all that together and build impactful and compelling data stories with reports. In this course, Creating Reports with Power BI, you’ll learn to create effective data-driven stories. First, you’ll explore different visualization types and see in which scenario to use each of them. Next, you’ll discover how to configure various report properties, such as conditional formatting or automatic page refresh. Finally, you’ll learn how to design for accessibility, build a special report type: paginated report, and connect to Power BI directly from Excel. When you’re finished with this course, you’ll have the skills and knowledge of creating impactful reports in Power BI needed to support data-driven stories and get you ready for the PL-300 exam.

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What's inside

Syllabus

Course Overview
Visualizing Data in Power BI
Configuring Power BI Reports
Going beyond with Paginated Reports and Analyze in Excel
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Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Taught by Nikola Ilic, who are recognized for their work in Microsoft Power BI
Explores Power BI, which is a widely used tool in industry for designing and configuring comprehensive reporting solutions
Develops skills in creating impactful and compelling data stories with reports, which is highly relevant to business decision-making
Covers visualizing data, configuring reports, going beyond with paginated reports, and connecting to Power BI from Excel, which are core skills for reporting and data analysis
Examines different visualization types and explores their appropriate use in different scenarios, which is key for effective data storytelling

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Activities

Coming soon We're preparing activities for Creating Reports with Power BI. These are activities you can do either before, during, or after a course.

Career center

Learners who complete Creating Reports with Power BI will develop knowledge and skills that may be useful to these careers:
Data Visualization Specialist
Data Visualization Specialists design and create visual representations of data. They work with data analysts and other stakeholders to identify the most effective way to communicate data insights. While a background in design or computer science is helpful for success in this role, knowledge of data visualization tools like Power BI is essential. Coursework focused on Power BI, such as Creating Reports with Power BI, will give you the skills and knowledge you need to succeed in this role.
Power BI Developer
Power BI Developers design and build Power BI reports and dashboards. They work with data analysts and other stakeholders to identify the most effective way to communicate data insights. While a background in software development is helpful for success in this role, knowledge of Power BI is essential. Coursework focused on Power BI, such as Creating Reports with Power BI, will give you the skills and knowledge you need to succeed in this role.
Business Intelligence Analyst
Business Intelligence Analysts build dashboards and data reports that can help businesses with things like customer segmentation, target marketing, competitor analysis, and risk management. Because this role focuses on building and maintaining visual interfaces such as dashboards, experience with Microsoft Power BI is particularly valuable. Completing coursework focused on Power BI, such as Creating Reports with Power BI, will give you a leg up on the competition for this type of role.
Data Scientist
Data Scientists use advanced analytic techniques and algorithms to analyze large data sets and solve business problems. They build complex machine learning models that can help businesses make better decisions about things like product development, marketing, and risk management. While a strong background in statistics and machine learning are essential for success as a Data Scientist, knowledge and experience with Microsoft Power BI will help you stand out from other candidates. Coursework such as Creating Reports with Power BI will be particularly helpful for Data Scientists who wish to specialize in data visualization.
Data Analyst
Data Analysts design, build, and maintain data pipelines to access Big Data stores. They also develop and use statistical and non-statistical models to convert this data into actionable business intelligence. A background in relational database management plus experience in SQL will help prepare you for this role, but completing coursework focused on Power BI like Creating Reports with Power BI will also significantly boost your chances of success, particularly when combined with a bachelor's degree in a quantitative field.
Quantitative Analyst
Quantitative Analysts use mathematical and statistical models to analyze financial data and make investment decisions. They build sophisticated models that can help investors make better decisions about things like which stocks to buy or sell, how to allocate assets, and how to manage risk. A strong understanding of statistics is essential for success as a Quantitative Analyst, but proficiency with Power BI and other data visualization tools can give you an edge over the competition.
Market Researcher
Market Researchers gather and analyze data about customers, competitors, and the market to help businesses make better decisions about things like product development, marketing, and pricing. They use a variety of methods to collect data, including surveys, interviews, and focus groups. Proficiency with data visualization tools like Power BI is increasingly common in this role, since it enables Market Researchers to easily create and share visual presentations of their findings.
Data Engineer
Data Engineers are responsible for designing, building, and maintaining the infrastructure that stores and processes data. They work with a variety of data sources, including relational databases, NoSQL databases, and Big Data stores. While the work of a Data Engineer is less focused on data analysis and reporting than that of a Data Analyst or Business Intelligence Analyst, proficiency in SQL and familiarity with data visualization tools like Power BI are commonly required for success in this role.
Healthcare Analyst
Healthcare Analysts use data to improve the quality and efficiency of healthcare delivery. They work on a variety of projects, including things like disease surveillance, quality improvement, and cost analysis. While a background in healthcare is essential for success as a Healthcare Analyst, proficiency with data visualization tools like Power BI can help you stand out from other candidates.
Operations Research Analyst
Operations Research Analysts use mathematical and analytical techniques to solve business problems. They work on a variety of projects, including things like supply chain optimization, inventory management, and scheduling. While a strong background in mathematics and statistics is essential for success as an Operations Research Analyst, knowledge of data visualization tools like Power BI can be helpful for communicating your findings to non-technical stakeholders.
Financial Analyst
Financial Analysts use data to analyze financial performance and make investment decisions. They work on a variety of projects, including things like financial modeling, valuation, and portfolio management. While a strong background in finance is essential for success as a Financial Analyst, proficiency with data visualization tools like Power BI can help you communicate your findings to non-financial stakeholders.
Actuary
Actuaries use mathematical and statistical techniques to assess risk and uncertainty. They work on a variety of projects, including things like insurance pricing, product development, and financial planning. While a strong background in mathematics and statistics is essential for success as an Actuary, knowledge of data visualization tools like Power BI can be helpful for communicating your findings to non-technical stakeholders.
Statistician
Statisticians use mathematical and statistical techniques to collect, analyze, and interpret data. They work on a variety of projects, including things like clinical trials, market research, and public opinion polling. While a strong background in mathematics and statistics is essential for success as a Statistician, knowledge of data visualization tools like Power BI can be helpful for communicating your findings to non-technical stakeholders.
Data Architect
Data Architects design and build data architectures. They work with data engineers and other stakeholders to identify the most effective way to store and manage data. While a background in computer science is helpful for success in this role, knowledge of data visualization tools like Power BI is increasingly common. Coursework focused on Power BI, such as Creating Reports with Power BI, may be helpful for Data Architects who wish to specialize in data visualization.
Database Administrator
Database Administrators are responsible for the day-to-day operation and maintenance of databases. They work with database developers and other stakeholders to ensure that databases are running smoothly and efficiently. While a background in computer science is helpful for success in this role, knowledge of data visualization tools like Power BI is increasingly common. Coursework focused on Power BI, such as Creating Reports with Power BI, may be helpful for Database Administrators who wish to specialize in data visualization.

Reading list

We've selected seven 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 Creating Reports with Power BI.
Provides a comprehensive overview of the art of data visualization. It covers the principles of data visualization, as well as specific techniques for creating effective visualizations. It valuable resource for those who want to learn how to create visualizations that are both informative and visually appealing.
Provides a comprehensive overview of effective data visualization. It covers the principles of data visualization, as well as specific techniques for creating effective visualizations. It valuable resource for those who want to learn how to create visualizations that are both informative and visually appealing.
Comprehensive guide to Power BI reporting for experienced users. It covers advanced topics such as data modeling, DAX calculations, and report design. It valuable resource for those who want to take their Power BI skills to the next level.
Comprehensive guide to designing and building effective dashboards. It covers a wide range of topics, including data visualization, dashboard design, and performance monitoring. It valuable resource for those who want to learn how to create dashboards that communicate insights effectively.
Provides a comprehensive overview of data visualization with Python and JavaScript. It covers the basics of data visualization, as well as specific techniques for creating effective visualizations with these tools. It valuable resource for those who want to learn how to use Python and JavaScript to communicate insights effectively.
Beginner-friendly guide to Tableau, a popular data visualization tool. It covers the basics of Tableau, as well as specific techniques for creating effective visualizations. It valuable resource for those who want to learn how to use Tableau to communicate insights effectively.
Provides a simple and easy-to-understand introduction to data visualization. It covers the basics of data visualization, as well as specific techniques for creating effective visualizations. It valuable resource for those who want to learn how to use data visualization to communicate insights effectively.

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