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Accountech Traininig & Solutions

Want to take your Microsoft Excel skills from beginner to expert level? Whether you’re a student, business professional, accountant, data analyst, or complete beginner, this practical hands-on course will transform the way you work with Excel — saving you hours of time and boosting your productivity.

We’ll start with the core Excel essentials: smart data entry using Fill Series, editing custom lists, cleaning messy data using Text-to-Columns, Flash Fill, and advanced blank row removal techniques. You’ll also master the most useful Excel keyboard shortcuts that professionals use every day.

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Want to take your Microsoft Excel skills from beginner to expert level? Whether you’re a student, business professional, accountant, data analyst, or complete beginner, this practical hands-on course will transform the way you work with Excel — saving you hours of time and boosting your productivity.

We’ll start with the core Excel essentials: smart data entry using Fill Series, editing custom lists, cleaning messy data using Text-to-Columns, Flash Fill, and advanced blank row removal techniques. You’ll also master the most useful Excel keyboard shortcuts that professionals use every day.

From there, you’ll dive into core formulas and functions including You’ll learn to build dropdown menus, apply data validation, fix errors like #N/A, and combine multiple formulas into powerful solutions.

The course also covers advanced Excel techniques such as:

  • DGET function for smarter lookups than VLOOKUP or XLOOKUP

  • Power Query for combining multiple sheets or files automatically

  • Macros for automating repetitive tasks

  • Advanced filters for extracting complex datasets

  • Conditional formatting for professional dashboards and data insights

You’ll work on real-world business scenarios including payroll tax calculations, bank book reconciliation, aged debtor analysis, sales reports, and large dataset management.

By the end of this course, you’ll be able to handle any Excel challenge — from building automated reports to cleaning massive datasets — with the speed and confidence of an Excel power user.

Enroll now

What's inside

Learning objectives

  • Use excel’s data cleaning tools (text-to-columns, flash fill, trim, find & replace) like a pro
  • Apply logical formulas (if, and, or, nested conditions) in real-world scenarios
  • Master lookup formulas — vlookup, hlookup, index-match, and xlookup with advanced features
  • Use dget for large dataset lookups with fewer limitations
  • Create dropdown menus, custom error messages, and user-friendly data entry tools
  • Combine multiple excel sheets or files automatically with power query
  • Automate tasks using macros and advanced filters
  • Create professional tables, charts, and dashboards with formatting best practices
  • Work on real-world projects such as bank reconciliations, payroll tax calculations, and aged debtor reports
  • Optimize work with excel keyboard shortcuts and efficiency hacks
  • Much more
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Syllabus

Advance Excel Basic to Advance Training
Introduction to Excel Course
Using Fill Series to Work Smartly
Edit Custom List in Excel
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Career center

Learners who complete Excel Basic to Advance Training 2025 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 Basic to Advance Training 2025.
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.
Seminal work on the subject of data visualization, and it is still one of the most influential books in the field. Tufte provides a comprehensive overview of the principles of data visualization, and he covers a wide range of topics, from data types to visual perception. Tufte's work is deeply rooted in using data visualization to present only truth and avoid misrepresenting data. This book is very thorough and can be challenging for those who are new to dashboards.
A more recent iteration of the comprehensive 'Bible' series, this book covers the features of Excel 2021. It serves as an excellent reference and learning tool for users who want a deep understanding of the software, from basic to advanced functionalities. It's suitable for a wide range of users.
Dives into contemporary Excel topics like Power Pivot and Power Query, which are crucial for handling and analyzing large datasets. It's a key resource for users looking to move beyond basic data analysis and leverage Excel's business intelligence capabilities. Recommended for intermediate to advanced users and professionals.
Specifically targets financial modeling using Excel, a key application in finance and accounting. is essential for students and professionals in these fields who need to build and analyze financial models. It covers relevant formulas, functions, and best practices.
Provides a comprehensive overview of Power Query, covering everything from connecting to data sources to transforming and loading data into Power BI. It is an excellent resource for anyone who wants to learn more about Power Query.
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 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.
Provides a comprehensive overview of Power Query for Azure Data Lake. It is an excellent resource for anyone who wants to learn how to use Power Query to connect to, transform, and load data into Azure Data Lake.
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 visualization, covering everything from basic principles to advanced techniques. It is written in a clear and concise style, and it is packed with examples and exercises. This book does a fantastic job of providing a more in-depth look at many of the core principles associated with dashboards and great jumping-off point for learning more about them.
A focused guide on Power Query, a powerful tool for data extraction, transformation, and loading within Excel and Power BI. is crucial for anyone dealing with data from multiple sources and needing to clean and prepare it for analysis. It's a valuable resource for data professionals.
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 creating effective and advanced data visualizations using Excel, going beyond the default chart types. It's highly relevant to contemporary data analysis and communication. It provides step-by-step guides for creating various chart types and is valuable for users at all levels looking to improve their data storytelling.
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.
An in-depth book that provides step-by-step instructions for creating macros in Microsoft Excel. Covers the basics of VBA, the programming language used to create macros.
Classic in the field of data visualization, and it is still one of the most influential books in the field. Tufte provides a comprehensive overview of the principles of data visualization, and he covers a wide range of topics, from data types to visual perception. Edward Tufte is one of the most celebrated authorities in the field of data visualization.
Addresses contemporary data analytics practices within Excel, focusing on modern techniques for cleaning, transforming, and analyzing data. It's highly relevant for those looking to update their skills and leverage Excel for more sophisticated data analysis tasks.
Dives deep into array formulas, a powerful technique for complex calculations in Excel. It's for users who want to deepen their understanding of advanced formulas and push the boundaries of what Excel can do. Recommended for intermediate to advanced users.
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.
Focuses on applying Excel to solve business problems and analyze business data. It's a practical guide for students and professionals in business-related fields who need to use Excel for decision-making and analysis.
Ideal for beginners, this book provides a solid foundation in Excel basics with step-by-step guides. It covers a wide range of fundamental topics, making it a great starting point for those new to spreadsheets. While suitable for initial learning, it also touches upon more complex areas.
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.
A focused guide on mastering Excel formulas and functions, which are fundamental to using Excel effectively. is helpful for users looking to deepen their understanding of how to perform calculations and manipulate data. Relevant for all levels beyond the absolute beginner.
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.
Offers a hands-on approach to learning Excel VBA, with step-by-step instructions and exercises designed for quick learning. It's suitable for users who want to rapidly acquire VBA skills for automation and enhancing their Excel capabilities.
Practical guide to data cleaning in Python. It covers a wide range of topics, including data import, data exploration, data transformation, and data validation. It great resource for anyone who wants to learn how to use Python for data cleaning.
A comprehensive guide aiming to take users from beginner to expert. It covers a wide range of topics and can be used for both gaining a broad understanding and deepening knowledge. Its step-by-step approach makes it accessible for self-learners.
Provides a beginner-friendly introduction to data analysis techniques using Excel. It covers essential tools and methods for analyzing data within Excel, making it suitable for those new to data analysis or using Excel for this purpose.
A beginner-friendly approach to learning Excel VBA programming. breaks down complex VBA concepts into easy-to-understand steps, making it accessible for those new to automation. It's a good starting point before moving on to more advanced VBA resources.
Valuable resource for those interested in using Excel formulas for statistical analysis. It covers advanced statistical techniques and provides practical examples.
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.
Is an excellent starting point for anyone new to data analysis or statistics. It demystifies core statistical concepts without relying heavily on mathematical formulas, making it highly accessible for high school and undergraduate students. It provides a strong foundation in the intuition behind statistical analysis and helps readers understand how data can be used and misused. This is valuable background reading that builds prerequisite knowledge.
Focuses on teaching keyboard shortcuts for specific software applications, such as Microsoft Office, Adobe Creative Suite, and Google Workspace. It great resource for users who want to learn the most efficient ways to use their favorite software.
Is designed for musicians who want to use keyboard shortcuts to improve their productivity. It covers essential shortcuts for popular music software and provides tips for customizing your shortcuts to your specific musical style.
Is designed for trainers who want to use keyboard shortcuts to improve their productivity. It covers essential shortcuts for popular training software and provides tips for customizing your shortcuts to your specific training style.
Is designed for system administrators who want to use keyboard shortcuts to improve their productivity. It covers essential shortcuts for popular system administration software and provides tips for customizing your shortcuts to your specific system administration environment.
Collection of essays on data visualization, written by one of the leading experts in the field. Yau covers a wide range of topics, from the history of data visualization to the latest trends in the field. This book provides a lot of real-world examples of dashboards and how they are used.
Teaches probability and statistics using a computational approach with Python. It's ideal for students and professionals with programming experience who want to understand statistical concepts by doing. It helps solidify understanding through hands-on application.
Practical guide to designing effective dashboards. Few provides a step-by-step process for creating dashboards, and he covers a wide range of topics, from data selection to visual design. This is another book by Stephen Few that is very specific to the design of dashboards and how to create useful ones.
Focuses on keyboard shortcuts for gamers. It covers essential shortcuts for popular gaming genres and provides tips for customizing your shortcuts to your specific gaming style.
Is designed for students who want to use keyboard shortcuts to improve their productivity. It covers essential shortcuts for popular student software and provides tips for customizing your shortcuts to your specific learning style.
SQL fundamental skill for data analysis, and this book delves into advanced techniques for working with data in databases. It's essential for anyone who needs to retrieve and manipulate data stored in relational databases. It serves as a valuable reference for more complex data extraction and transformation tasks.
Aimed at beginners, this book focuses on overcoming common Excel challenges and making the learning process engaging. It helps solidify foundational skills and provides practical tips for immediate use. It's a good supplementary read for those starting out.
A timeless classic that remains highly relevant today. exposes common ways statistics can be manipulated or misinterpreted, fostering a critical eye essential for anyone working with data. It's valuable for all levels, from high school to professional, as it highlights the importance of data integrity and ethical considerations. This serves as crucial additional reading to develop data literacy.
Although an older edition, the Excel 2016 Bible is considered a classic for its comprehensive coverage by a highly respected author in the Excel community. While some features may be outdated, the core principles and in-depth explanations of formulas, functions, and features remain valuable for gaining a deep understanding.
Practical guide to data cleaning in SAS. It covers a wide range of topics, including data import, data exploration, data transformation, and data validation. It great resource for anyone who wants to learn how to use SAS for data cleaning.
Focuses on keyboard shortcuts for web developers. It covers essential shortcuts for popular web development tools and provides tips for customizing your shortcuts to your specific web development workflow.
Focuses on the use of Excel formulas for scientific data analysis. It is highly recommended for those working in scientific research and data analysis.

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