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Reading list
We've selected 23 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 Tables.
Is specifically focused on Excel Tables, making it ideal for deepening your understanding of this topic. It covers creating, using, and automating Tables, including more advanced topics like slicers, filtering, and VBA integration. It's a highly relevant resource for anyone wanting to master Excel Tables. This book serves as a dedicated reference for Table-specific features and techniques.
This comprehensive guide is excellent for gaining a broad understanding of Excel, including foundational concepts essential for working with Tables. It covers a wide range of topics from basic interface navigation to advanced data analysis and automation, making it a valuable reference for all skill levels. The book is commonly used by both students and professionals due to its depth and breadth. It provides a solid foundation before diving deeper into specific Table functionalities.
This is the second edition of 'M Is for (Data) Monkey' and covers contemporary data transformation and modeling using Power Query and Power BI, tools that work hand-in-hand with Excel Tables. It's essential for users who need to prepare and shape data before using it in Tables for analysis and reporting. This updated edition provides the latest information on these powerful tools.
Focuses on Pivot Tables, which are powerful tools for summarizing and analyzing data stored in Excel Tables. It's highly relevant for deepening your understanding of how to leverage Table data for reporting and analysis. Bill Jelen, also known as MrExcel, well-regarded authority. This book must-read for anyone performing data analysis on Table data.
Dives into contemporary topics by focusing on data analysis and business modeling using the latest versions of Excel. It covers advanced techniques and tools often used with Tables, such as Power Query and dynamic arrays. It's highly relevant for those looking to apply Excel Tables in a business context and provides in-depth knowledge for complex data scenarios. This valuable resource for advanced users and professionals.
Directly addresses contemporary topics like Power Query and PivotTables in the context of data analytics using Excel. These tools are frequently used with data organized in Tables. It's highly relevant for deepening your understanding of how to analyze data effectively after structuring it in Tables. This book is suitable for those interested in the practical application of Tables in data analysis workflows.
While not directly about Excel Tables, this book is crucial for understanding Power Query, a tool often used to get data *into* Tables for analysis. It dives into the M language, a contemporary topic in Excel data manipulation. It's essential for users who need to clean and transform data from various sources before using it in Tables. is highly recommended for anyone working with external data in Excel.
Covers Power Pivot and Power BI, which are advanced tools that work seamlessly with data modeled in Excel, often starting with Tables. It delves into DAX and Power Query, highly relevant contemporary topics for data analysis and business intelligence. While the edition is older, the core concepts of Power Pivot and DAX remain valuable for deepening your understanding of advanced data modeling. It's particularly useful for those moving towards more sophisticated data analysis beyond basic Table features.
Creating dynamic dashboards and reports often starts with well-structured data, making Excel Tables a crucial component. focuses on the end result of data analysis and reporting, showing how data (often from Tables) is used to create impactful visualizations. It provides context for why organizing data in Tables is important for reporting. This book is valuable for those who need to present data effectively.
Offers a broad understanding of Excel's data analysis features, which are highly relevant to using Tables effectively. It covers organizing data, performing calculations, and creating visualizations. While not solely focused on Tables, it provides necessary background knowledge for anyone looking to analyze data within them. It's a good starting point for those new to data analysis in Excel.
For users looking to automate tasks involving Excel Tables, a strong understanding of VBA is essential. delves into Excel VBA programming, a contemporary topic for power users and professionals. It's a valuable resource for those who need to extend the functionality of Tables through scripting. This book is geared towards more advanced users.
Great resource for gaining a broad understanding of Excel through a step-by-step approach. It covers working with data and Excel Tables, making it relevant for beginners and those looking for a structured learning path. It's a useful reference for solidifying fundamental Excel skills necessary for effectively utilizing Tables. This book is often used in educational settings due to its clear and concise instructions.
This For Dummies guide provides a broad introduction to Excel 365, including the basics of organizing data and using features relevant to Tables. It's a good starting point for beginners across all audience levels to gain a foundational understanding of Excel in its latest iteration. It serves as helpful background reading before delving into more specific Table topics.
A broad understanding of Excel formulas and functions is fundamental to effectively using calculated columns and other features within Excel Tables. provides a comprehensive guide to formulas and functions, making it a valuable resource for solidifying this prerequisite knowledge. It's suitable for various audiences looking to enhance their formula writing skills.
Aimed at a more advanced audience, this book covers a wide range of professional Excel topics, likely including advanced uses of Tables in complex scenarios. It's suitable for deepening understanding and exploring contemporary applications of Excel features. good reference for experienced Excel users.
For those in finance, this book demonstrates how to use Excel, including organizing data in ways that can utilize Tables, for financial analysis. It provides a practical application of Excel features in a specific domain, deepening understanding through real-world scenarios. While not solely about Tables, it shows how structured data is used in financial modeling.
While focused on array formulas, this book is relevant for those looking to perform complex calculations within or referencing Excel Tables. Array formulas are a more advanced topic that can enhance the power of Tables. It's useful for deepening your understanding of advanced formula techniques applicable to Table data. Mike Girvin is well-known for his in-depth Excel tutorials.
Another classic edition of the Excel Bible, this book provides a comprehensive reference that includes detailed information on working with data and likely covers the foundational aspects of Excel Tables as they existed in that version. It's a valuable historical reference and can help understand the evolution of Excel features. More useful for historical context or if working with older Excel versions.
Is aimed at beginners and focuses on overcoming common frustrations in Excel. It likely covers organizing data effectively, which would involve using Tables. It's a good resource for those new to Excel who need to build confidence and a basic understanding of how to manage data, setting the stage for learning about Tables. This book is suitable for high school and early undergraduate students.
While specific to an older version, this book provides insights into features and techniques used by power users, which would include effective utilization of Tables. It can offer valuable additional reading for understanding how Tables fit into more advanced Excel workflows. Its relevance to contemporary topics might be limited, but it highlights powerful uses of Excel features.
For advanced users and professionals, this book introduces automating tasks in Excel using Python. While not Excel-specific, it represents a contemporary approach to working with Excel data, including data that might be in Tables. It's relevant for those looking to extend their automation capabilities beyond VBA. is for users interested in programming and automation.
This guide is designed for a specific certification but covers core Excel functionalities, including working with ranges and tables, relevant to a broad understanding. It's useful for solidifying foundational skills and can serve as additional reading for exam preparation related to basic Table operations. Its focus is on exam objectives rather than in-depth feature exploration.
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