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Welcome to the Data Storytelling with Power BI course, where you'll embark on a journey to acquire practical expertise in data transformation and visualization. Leverage the potential of Power BI to craft narratives through structured data, leading to the discovery of more profound insights. Throughout this course, you'll explore the industry-specific applications of Power BI and delve into its various features and functionalities.

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Welcome to the Data Storytelling with Power BI course, where you'll embark on a journey to acquire practical expertise in data transformation and visualization. Leverage the potential of Power BI to craft narratives through structured data, leading to the discovery of more profound insights. Throughout this course, you'll explore the industry-specific applications of Power BI and delve into its various features and functionalities.

By the end of this course, you’ll be able to:

• Explain the different data sources present in Power BI Desktop.

• Demonstrate the use of Power Query Editor to clean and transform data.

• Manipulate data with the DAX formula and depict stories by using different visualization

techniques.

• Apply Power BI Service features to elevate the quality of your Reports and implement Dashboards

on Power BI Service.

• Create Reports and Dashboards on Power BI service utilizing its prevalent features.

• Implement Smart Narrative and Key Performance Indicators to enhance reports for a target

audience.

This course is designed for a diverse audience: freshers, data analyst, business analysts, business intelligence analyst and IT professionals who are looking to enhance their data analysis skills through Power BI.

Prior experience with Microsoft Excel or spreadsheet applications can be beneficial when working with Power BI.

Embark on an educational voyage to master Microsoft Power BI and enhance your skills in creating efficient Reports and Dashboards using the Power BI ecosystem.

Enroll now

What's inside

Syllabus

Data Modeling and Transformation
In this module, you will explore the world of business intelligence and derive stories from data and present them to a targeted audience. You will also learn to identify and implement transformations in data for visualization with Power BI Desktop.
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Data Analysis Expression (DAX)
In this module, you will learn to manipulate data with DAX formulas to create measures and columns, operate these transformations with the help of DAX functions, and create relationships to manage data.
Data Visualization
In this module, you will learn to create data visuals with the help of common charts and custom visuals and understand how they work. We will also learn about the best practices that are to be followed while building paginated reports and dashboards.
Power BI Service
In this module, you will learn about Power BI Service, make use of the features after publishing reports and dashboards on the Service interface, manage Smart Narrative, use Q & A to draw more insights from data, secure reports and dashboards with security roles, and observe data lineage.
Course Wrap Up and Assessment
This module is designed to assess an individual on the various concepts and teachings covered in this course. Answer a comprehensive quiz which marks you as a learner who is confident in working with Power BI.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Helps learners understand business intelligence concepts and apply them in practice
Teaches data transformation and cleaning using Power Query Editor, a widely used tool in the industry
Covers DAX formula manipulation, empowering learners to extract insights from data
Provides hands-on practice with data visualization techniques, enhancing learners' ability to present data effectively
Introduces Power BI Service features, enabling learners to collaborate and share insights within their organizations
Requires prior experience with Microsoft Excel or spreadsheet applications, which may limit accessibility for some learners

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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 Learn Data Storytelling: Power BI Techniques with these activities:
Seek Mentorship from Experienced Power BI Professionals
Establish connections with experienced Power BI professionals who can provide guidance, support, and industry insights.
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  • Identify potential mentors through professional networks, online forums, or industry events.
  • Reach out to potential mentors and express your interest in mentorship.
  • Establish regular communication and seek feedback on your work.
Read 'An Introduction to Data Science' by Jeffrey Stanton
Obtain foundational knowledge of data science to enhance your understanding of the concepts and applications of Power BI.
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  • Acquire a copy of 'An Introduction to Data Science' by Jeffrey Stanton.
  • Read the book thoroughly, focusing on the concepts of data collection, data preprocessing, and data visualization.
  • Take notes and highlight important concepts for future reference.
  • Complete the practice exercises provided in the book to test your understanding.
Join a Study Group or Online Forum for Power BI
Engage with peers and experts in the field to share knowledge, ask questions, and receive feedback on your work, fostering a collaborative learning environment.
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  • Identify and join a study group or online forum dedicated to Power BI.
  • Participate in discussions, ask questions, and share your experiences and insights.
  • Collaborate with others on projects or assignments.
Five other activities
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Complete the Microsoft Power BI Tutorial Series by edX
Gain hands-on experience with Power BI by following a structured tutorial series that covers the core features and functionalities of the tool.
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Show steps
  • Enroll in the 'Microsoft Power BI Tutorial Series' on edX.
  • Watch the video lectures and complete the interactive exercises.
  • Download the necessary software and practice using Power BI.
Attend a Power BI Workshop or Conference
Gain exposure to the latest trends and best practices in Power BI by attending workshops or conferences led by industry experts.
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Show steps
  • Research and identify upcoming Power BI workshops or conferences.
  • Register and attend the event.
  • Actively participate in sessions, ask questions, and network with peers.
Practice Data Transformation and Visualization with Sample Datasets
Develop proficiency in data transformation and visualization by working with sample datasets and applying the techniques learned in the course.
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  • Obtain sample datasets from online repositories or create your own.
  • Import the datasets into Power BI and perform data cleaning and transformation operations.
  • Create visualizations using various chart types and explore different visualization techniques.
  • Analyze the results and identify insights from the data.
Design and Build a Power BI Dashboard for a Business Case
Apply your skills to create a practical Power BI dashboard that solves a real-world business problem and demonstrates your proficiency in data analysis and presentation.
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  • Identify a specific business case or problem that can be addressed using data analysis.
  • Gather and prepare the necessary data.
  • Design and build a Power BI dashboard that visualizes the data and provides insights.
  • Present the dashboard to stakeholders and explain your findings.
Contribute to Open-Source Projects Related to Power BI
Deepen your understanding of Power BI by actively participating in open-source projects, collaborating with developers, and contributing to the broader community.
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  • Identify open-source projects on platforms like GitHub that are related to Power BI.
  • Review the project documentation and identify areas where you can contribute.
  • Create pull requests and contribute to the codebase.
  • Engage with the project maintainers and other contributors.

Career center

Learners who complete Learn Data Storytelling: Power BI Techniques will develop knowledge and skills that may be useful to these careers:
Power BI Developer
A Power BI Developer designs and develops Power BI solutions for businesses. With this course, you can gain a comprehensive understanding of Power BI techniques, including data modeling, data analysis, and visualization. You will be able to create efficient reports and dashboards using the Power BI ecosystem, making you a valuable asset to any organization.
Data Visualization Analyst
A Data Visualization Analyst is responsible for creating visual representations of data to help businesses understand complex information. By taking this course, you will learn how to use Power BI to create stunning data visualizations, including charts, graphs, and maps. This course will help you develop the skills you need to succeed in this role.
Business Intelligence Analyst
A Business Intelligence Analyst helps businesses make better decisions by analyzing data and providing insights. This course will teach you how to use Power BI to collect, transform, and analyze data, as well as create visualizations that can help you identify trends and patterns. With this knowledge, you will be well-equipped for a successful career as a Business Intelligence Analyst.
Data Analyst
A Data Analyst collects, transforms, and analyzes data to help businesses make better decisions. By understanding the fundamentals of Power BI, including data modeling and data visualization, you will have the skills to succeed in this role. This course will provide you with hands-on experience with Power BI techniques, allowing you to demonstrate your proficiency to potential employers.
Chief Data Officer
A Chief Data Officer is responsible for the overall data strategy and governance for a business. By taking this course, you will gain a comprehensive understanding of Power BI techniques, including data modeling, data analysis, and visualization. This course will help you develop the skills you need to succeed in this role.
Data Science Manager
A Data Science Manager leads a team of data scientists and is responsible for the overall success of data science projects. By taking this course, you will gain a comprehensive understanding of Power BI techniques, including data modeling, data analysis, and visualization. This course will help you develop the skills you need to succeed in this role.
Data Architect
A Data Architect designs and manages data systems for businesses. By understanding the fundamentals of data modeling and data visualization with Power BI, you can build a solid foundation for a career as a Data Architect. This course will provide you with hands-on experience with Power BI techniques, allowing you to demonstrate your proficiency to potential employers.
Director of Data Science
A Director of Data Science leads a team of data scientists and is responsible for the overall success of data science projects. By taking this course, you will gain a comprehensive understanding of Power BI techniques, including data modeling, data analysis, and visualization. This course will help you develop the skills you need to succeed in this role.
Business Analyst
A Business Analyst helps businesses identify and solve problems by analyzing data and making recommendations. You will be well-equipped for this role by learning how to use Power BI to clean and transform data, as well as create visualizations that can help you identify trends and patterns.
Data Analytics Manager
A Data Analytics Manager leads a team of data analysts and is responsible for the overall success of data analytics projects. By taking this course, you will gain a comprehensive understanding of Power BI techniques, including data modeling, data analysis, and visualization. This course will help you develop the skills you need to succeed in this role.
Data Analyst Consultant
A Data Analyst Consultant provides data analysis expertise to businesses on a contract basis. You will be well-prepared for this role by learning how to use Power BI to clean and transform data, as well as create visualizations that can help you identify trends and patterns.
Database Administrator
A Database Administrator manages and maintains databases for businesses. You will be well-equipped for this role by learning how to use Power BI to clean and transform data, as well as create visualizations that can help you identify trends and patterns.
Data Engineer
A Data Engineer builds and maintains data pipelines for businesses. You will be well-prepared for this role by learning how to use Power BI to clean and transform data, as well as create visualizations that can help you identify trends and patterns.
Data Scientist Consultant
A Data Scientist Consultant provides data science expertise to businesses on a contract basis. You will be well-prepared for this role by learning how to use Power BI to clean and transform data, as well as create visualizations that can help you identify trends and patterns.
Data Scientist
A Data Scientist is responsible for extracting insights from data to help businesses make informed decisions. This course can help you build a foundation in data analysis and visualization with Power BI. By enrolling in this course, you will learn how to manipulate data with DAX formulas, create relationships to manage data, and generate reports and dashboards.

Reading list

We've selected 18 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 Learn Data Storytelling: Power BI Techniques.
Provides a comprehensive overview of data visualization principles and techniques. It good starting point for those new to data visualization and wants to learn the basics.
Provides a comprehensive guide to the art of data storytelling, covering everything from data collection and analysis to presentation and communication. It valuable resource for anyone who wants to learn how to tell compelling and effective data stories that can make a difference.
Provides a comprehensive overview of Power BI, including data preparation, modeling, visualization, and reporting. It valuable resource for those who want to learn how to use Power BI to its full potential.
Classic guide to data warehousing and dimensional modeling. It provides a solid foundation for understanding how to design and build effective data warehouses.
Provides a comprehensive overview of machine learning algorithms and techniques. It valuable resource for those who want to learn how to use machine learning to build predictive models.
Provides a comprehensive overview of Python libraries for data analysis. It valuable resource for those who want to learn how to use Python to manipulate, analyze, and visualize data.
Provides a comprehensive overview of R libraries for data science. It valuable resource for those who want to learn how to use R to manipulate, analyze, and visualize data.
Provides a comprehensive overview of SQL for data analysis. It valuable resource for those who want to learn how to use SQL to query and manipulate data.
Provides a comprehensive overview of data visualization for data scientists. It valuable resource for those who want to learn how to create effective data visualizations that communicate insights clearly.
Provides a comprehensive overview of data analytics for beginners. It valuable resource for those who want to learn the basics of data analytics and how to use it to make better decisions.
Provides a comprehensive overview of deep learning algorithms and techniques. It valuable resource for those who want to learn how to use deep learning to build complex models that can learn from data.
Provides a comprehensive overview of NoSQL databases for data analysis. It valuable resource for those who want to learn how to use NoSQL databases to store and manage large volumes of data.
Provides a comprehensive overview of machine learning for beginners. It valuable resource for those who want to learn the basics of machine learning and how to use it to solve real-world problems.
Provides a collection of recipes for Power BI developers. It covers a wide range of topics, including data preparation, data modeling, and data visualization.
Provides a guide to improving the performance of Power BI dashboards and reports. It covers a wide range of topics, including data modeling best practices, performance tuning techniques, and how to use Power BI tools to optimize performance.

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