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Do you want to create stunning, interactive Excel dashboards even if you’re a complete beginner?

This course will teach you how to build professional Excel dashboards from raw data using Pivot Tables, charts, slicers, Timeline, and powerful AI features including Microsoft Copilot AI. Whether you’re a student, business professional, freelancer, or entrepreneur, mastering these skills will help you analyze data quickly and make smart, data-driven decisions.

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Do you want to create stunning, interactive Excel dashboards even if you’re a complete beginner?

This course will teach you how to build professional Excel dashboards from raw data using Pivot Tables, charts, slicers, Timeline, and powerful AI features including Microsoft Copilot AI. Whether you’re a student, business professional, freelancer, or entrepreneur, mastering these skills will help you analyze data quickly and make smart, data-driven decisions.

You’ll start by learning how to clean and organize your data for easy analysis. Then, you’ll dive into creating Pivot Tables, one of Excel’s most powerful tools, enhanced by AI recommendations that help you choose the best summaries and layouts automatically.

Next, you’ll add visual elements like charts, slicers, and timelines to create dashboards that are not only insightful but also interactive and user-friendly. Plus, you’ll learn how to use Microsoft Copilot AI and other AI tools integrated in Excel to generate instant data insights, automate formula writing, and speed up your workflow.

By the end of the course, you’ll have a complete, professional sales dashboard that can be customized for any project or business need. You’ll also gain confidence using AI-powered Excel features that make data analysis faster and smarter.

Perfect for beginners and professionals alike, this course will boost your Excel skills and prepare you for the future of data analysis and business reporting.

Enroll today and start transforming raw data into beautiful, actionable Excel dashboards.

Enroll now

What's inside

Learning objectives

  • Build professional excel dashboards from raw data using pivot tables
  • Analyze and summarize data quickly with ai-driven pivot recommendations
  • Visualize business metrics with charts, slicers, and timelines
  • Leverage microsoft copilot ai and other ai tools to generate insights
  • Design interactive dashboards to support decision-making
  • Export and share dashboards for reports and presentations

Syllabus

01 Welcome & Dashboard Basics
Welcome to the course
What is Dashboarding & why it matters
Download Resource files & template
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Career center

Learners who complete Excel Dashboard for Beginners: AI & Pivot Tables Mastery will develop knowledge and skills that may be useful to these careers:

Reading list

We've selected 50 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 Excel Dashboard for Beginners: AI & Pivot Tables Mastery.
This classic book by Edward Tufte must-read for anyone interested in data visualization. It covers a wide range of topics, from the principles of visual perception to the design of effective charts and graphs.
Seminal work on the grammar of graphics, a formal language for describing data visualizations. It covers a wide range of topics, from the basics of the grammar of graphics to the use of the grammar of graphics to create a variety of charts and graphs.
The definitive benchmark textbook of modern artificial intelligence, rigorously unifying search algorithms, probabilistic reasoning, knowledge representation, and machine learning into an elegant, coherent agent-based framework.
A monumental foundational text establishing the mathematical, algorithmic, and statistical principles of modern deep neural networks, from linear algebra and optimization to convolutional and sequence modeling architectures.
The third edition of the essential guide to data wrangling with pandas, NumPy, and Jupyter in Python. Updated for newer versions of the libraries, this book remains a core resource for anyone performing data analysis in Python. It widely used textbook and reference for its clear explanations and practical examples.
More than just a basic Excel guide, this book focuses on applying Excel to real-world data analysis and business problems. It's ideal for those looking to deepen their understanding of using Excel for practical applications, including newer features like dynamic arrays and Power Query. is commonly used as a textbook and strong reference for business professionals.
Provides an exceptionally practical, code-first curriculum that guides engineers from end-to-end data preprocessing and traditional regression pipelines to production deep learning models and generative neural networks.
Delivers an authoritative mathematical foundation in Bayesian inference, graphical models, and statistical learning algorithms, bridging foundational probability theory with rigorous predictive computational modeling.
This practical guide is specifically tailored for those interested in financial modeling using Excel. It provides step-by-step instructions and focuses on applying Excel features to solve common business and financial problems. It's a valuable resource for students and professionals in finance and business roles looking to solidify their modeling skills.
A recent edition of a popular series, this book covers pivot tables with an emphasis on new features like Dynamic Arrays, Power Query, and Copilot. It provides updated techniques for data crunching and reporting, making it highly relevant for users of the latest Excel versions. valuable resource for staying current with contemporary pivot table capabilities.
Guides engineers step-by-step through implementing, training, and fine-tuning complete generative transformer architectures in pure PyTorch, providing crystal-clear low-level insight into modern foundation models.
Focuses specifically on Power Query, a powerful tool within Excel and Power BI for connecting, transforming, and combining data from various sources. It's highly relevant for contemporary data analysis workflows and is essential for users who need to clean and prepare data efficiently before analysis. This book adds significant depth to data manipulation skills within Excel.
Combines financial analysis and modeling concepts with the application of Excel and VBA. It's a valuable resource for those in finance who want to leverage Excel's power for complex analysis and automation. It deepens understanding by integrating financial theory with practical Excel implementation.
Presents the foundational treatise on Markov decision processes, temporal-difference learning, and policy gradient methods that underpin autonomous decision-making and modern post-training alignment workflows.
Offers a detailed look at Power Query, focusing on practical techniques for data collection, combination, and transformation. It's an essential resource for anyone dealing with messy data and provides valuable skills for efficient data preparation in Excel and Power BI. This book significantly deepens understanding of data wrangling.
Is highly recommended for those who want to master financial modeling in Excel. It simplifies complex financial concepts and provides in-depth techniques for building, developing, and deploying financial models. It's a valuable resource for finance professionals and students seeking to deepen their financial modeling expertise.
Examines holistic architectural patterns for designing resilient machine learning infrastructure, addressing data pipelines, real-time feature stores, continual learning loops, and production deployment reliability.
Comprehensive guide covering a vast range of Excel topics from beginner to advanced levels. It's an excellent resource for gaining a broad understanding of Excel's capabilities and serves as a valuable reference tool for various functions, formulas, and features. While published in 2018, its foundational content remains highly relevant for solidifying core Excel skills.
Focuses on modern data analysis techniques within Excel, including Power Query and Power Pivot. It's a contemporary resource for users looking to update their data cleaning and reporting processes and perform more rigorous data analysis directly within Excel. It's highly relevant for professionals working with data regularly.
Considered a classic in financial modeling, this book focuses entirely on using Excel to implement financial models. It's a thorough resource for those seeking a deep understanding of financial modeling principles and their practical application in Excel, drawing on real-world company data.
Provides a comprehensive overview of data visualization techniques, including best practices for designing effective dashboards.
Provides a comprehensive overview of data visualization techniques, including best practices for designing effective dashboards. It also covers the latest trends in data visualization.
This comprehensive 'Bible' covers all aspects of Excel 365, with dedicated sections on pivot tables and related features like Power Query and Power Pivot. It's an excellent all-in-one reference for users of the subscription version of Excel, providing in-depth coverage of both basic and advanced functionalities.
Provides a foundational understanding of the fundamental principles of data science and the data-analytic thinking necessary for extracting value from data in a business context. It is highly relevant for undergraduate business analytics programs and working professionals. It serves as a useful reference for understanding the business applications of data analysis and is commonly used as a textbook.
Provides a comprehensive overview of data visualization, covering the basics of visual perception, data types, and chart types. It great resource for beginners who want to learn the fundamentals of data visualization.
Demystifies practical transformer model implementation through the Hugging Face ecosystem, demonstrating how to fine-tune, optimize, and deploy attention architectures across diverse natural language processing and understanding tasks.
This guidebook offers a comprehensive overview of the Business Intelligence lifecycle, from data integration to analytics. It provides clear explanations of architectural design and processes, making it valuable for gaining a broad understanding of the field. It useful reference for navigating the complexities of BI projects and includes practical solutions.
Provides a comprehensive overview of data cleaning techniques, including data quality assessment, data transformation, and data validation. It valuable resource for anyone who wants to learn more about data cleaning and improve the quality of their data.
Comprehensive guide to data cleaning in Stata and Python. It covers a wide range of topics, including data import, data exploration, data transformation, and data validation. It valuable resource for anyone who wants to learn more about data cleaning and improve the quality of their data.
Comprehensive guide to data cleaning in R and Python. It covers a wide range of topics, including data import, data exploration, data transformation, and data validation. It valuable resource for anyone who wants to learn more about data cleaning and improve the quality of their data.
Comprehensive guide to data cleaning in SAS and Python. It covers a wide range of topics, including data import, data exploration, data transformation, and data validation. It valuable resource for anyone who wants to learn more about data cleaning and improve the quality of their data.
Focuses on the technical aspects of creating interactive data visualizations for the web. It covers a wide range of topics, including data visualization libraries, web development frameworks, and best practices for performance optimization.
Offers a visual and comprehensive guide specifically focused on pivot tables. It aims to cover all aspects of this feature, making it a deep dive for those who want to master pivot table creation and manipulation. Its visual approach makes it accessible for learners of varying levels.
Focuses on the crucial skill of communicating insights from data effectively through compelling visualizations. is highly relevant for all levels, emphasizing the importance of clear and impactful data presentation. It is valuable additional reading that complements technical data analysis skills.
For those working with Microsoft BI tools like Power BI, SSAS, and Excel, a strong understanding of DAX is essential. is considered a definitive guide to the DAX language, providing in-depth knowledge for creating powerful calculations and data models.
This handbook provides a solid foundation in financial modeling concepts and their implementation, often using Excel as a tool. It's a good resource for those who want to understand the theory behind financial models while also learning how to build them practically. It's suitable for both students and professionals.
Delivers battle-tested operational patterns for serving foundation models, addressing GPU cluster throughput, semantic caching, automated evaluation benchmarks, and continuous latency minimization.
Comprehensive guide to the entire Business Intelligence project lifecycle, from planning to deployment. It provides a structured approach to implementing BI solutions and emphasizes understanding business needs and ensuring data quality. It valuable resource for project managers and those involved in BI implementation.
Bridges the gap between statistical theory and its practical application in data science using R and Python. It focuses on the statistical concepts most relevant to data scientists and provides code examples. It's a useful reference and learning resource for those applying statistics in their work.
Details an applied architectural methodology for running high-performance open-weights models on local workstations, tackling quantization fidelity, memory bandwidth limits, and prompt assembly trade-offs.
Is for users who want to leverage the power of Power BI and Power Pivot for more advanced data analysis and business intelligence. It delves into data modeling and DAX formulas, which are essential for creating sophisticated reports and dashboards using pivot tables and related technologies. It is geared towards users with a solid foundation in Excel and pivot tables.
Offers a new way of thinking about data science and ethics informed by intersectional feminist thought. It challenges existing power structures within data and explores how data can be used to work towards justice. It's highly relevant for contemporary discussions around fairness and bias in data analysis.
Provides real-world examples of how companies are using big data and analytics to achieve success. It showcases Business Intelligence in action across various industries, offering practical insights and inspiration. It's valuable for understanding the practical applications of BI.
Offers a rigorous theoretical foundation for reasoning under uncertainty, combining graph theory and probability distributions to model complex high-dimensional dependencies across autonomous intelligent systems.
An updated guide to VBA and macros in the latest Excel versions, this book strong resource for automating tasks and extending Excel's functionality. It's suitable for users who want to move beyond basic formula and function usage and into more powerful automation.
Focuses on using pivot tables to create dashboards, which common application in business. It guides users through the process of transforming raw data into interactive reports and visualizations using pivot tables. This book is particularly relevant for professionals who need to create summary reports and dashboards.
Provides a guide to creating effective and aesthetically pleasing data visualizations. It delves into the principles behind good visualization design, helping readers make informed choices about how to represent their data. It valuable reference for anyone creating visualizations, from students to professionals.

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