About the course
While most professionals can enter data into a spreadsheet, few leverage the Microsoft Excel's true capacity for automation and analysis. This workshop is designed to bridge the gap between "manual entry" and "automated reporting." We move away from basic cell manipulation to focus on data integrity, logical consistency, and professional-grade visualization.
We prioritize a structured approach to data management. You will learn to implement the BODMAS logical order in complex formulas, use absolute referencing to build scalable models, and employ Data Validation to ensure your datasets remain "clean" and error-free. By the end of the course, you will have moved from simply storing data to building functional, readable, and dynamic reports that provide immediate business value.
Instructor-led online and in-house face-to-face options are available - as part of a wider customised training programme, or as a standalone workshop, on-site at your offices or at one of many flexible meeting spaces in the UK and around the World.
-
By the end of this course, attendees will be able to:
- Engineer Scalable Formulas: Master absolute referencing and the BODMAS hierarchy to create formulas that can be reused across large datasets.
- Maintain Data Integrity: Implement Data Validation and table-based structures to ensure information is consistent and accurate.
- Automate Insight: Use Conditional Formatting and statistical functions to highlight trends and anomalies automatically.
- Optimize Data Navigation: Utilize sorting, filtering, and screen-splitting techniques to manage high-volume tables with ease.
- Visualize Complex Data: Design custom charts and trendlines that communicate technical findings to non-technical stakeholders.
-
Data Analysts & Administrative Professionals who regularly handle reporting and need to reduce manual effort.
Managers & Team Leads who oversee data-driven projects and require better visualization for decision-making.
Finance & Operations Staff looking to improve the accuracy and speed of their calculations.
-
Foundational Literacy: Comfort with basic Excel navigation and cell entry.
Basic Mathematics: An understanding of simple addition, subtraction, multiplication, and division.
Technical Setup: Access to a modern version of Microsoft Excel (Desktop version preferred for full feature access).
We can customise the training to match your team's experience and needs - for instance with more time and coverage of fundamentals for budding new data professionals. Get in touch to find out more.
-
This MS Excel course is available for private / custom delivery for your team - as an in-house face-to-face workshop at your location of choice, or as online instructor-led training via MS Teams (or your own preferred platform).
Get in touch to find out how we can deliver tailored training which focuses on your project requirements and learning goals.
-
Logical Calculations and Statistical Functions
Formula Mechanics: Performing calculations using the standard operators (addition, subtraction, multiplication, and division).
Order of Operations: Understanding the BODMAS hierarchy and how Excel processes complex formulas.
Temporal & Proportional Logic: Calculating with dates and percentages for business reporting.
Statistical Analysis: Utilizing functions to calculate totals, averages, peaks (highest), and troughs (lowest).
The Power of Referencing: Mastering Absolute Referencing ($) to fix cells and prevent formula breakage during copying.
Professional Formatting & Dashboard Design
Visual Hierarchy: Using font, alignment, and number formatting to improve data readability.
Conditional Logic: Applying formatting automatically based on cell values to create dynamic "traffic light" indicators.
Consistency Tools: Rapidly applying styles across disparate sheets using the Format Painter.
Dashboard Considerations: Designing number formats specifically for high-level summaries and dashboards.
Structured Data & Table Management
Navigation Mastery: Freezing headings, splitting screens, and using print titles for large-scale data sets.
Governance & Validation: Using Data Validation to restrict input and maintain "clean" data.
Data Manipulation: Sorting, filtering, and extracting specific information from large tables.
The "Format as Table" Paradigm: Leveraging the built-in table tools for automated subtotals and style consistency.
Database Maintenance: Using Find/Replace, Go To, and the "Remove Duplicates" tool to audit your data.
Creating and Modifying Charts
Visual Strategy: Choosing the correct chart type for specific data narratives.
Dynamic Charting: Creating, moving, and re-styling charts to suit professional reports.
Customization & Elements: Fine-tuning gridlines, titles, and legends for maximum clarity.
Advanced Analysis: Implementing trendlines to forecast data and using combination charts to handle multiple scales.
-
Microsoft Excel Support Center: The official documentation for all functions and features.
ExcelJet: A highly regarded resource for quick, clear function references and shortcuts.
Contextures: Deep dives into data validation and advanced table techniques.
Trusted by