Module 1: Foundations of Excel
In this module, we will introduce you to the foundations of Excel, ensuring you understand the basics of navigating Excel, data entry, and core functionalities. Whether you’re a beginner or just need a refresher, this module will help you build a strong foundation to work with Excel efficiently.
Key Topics:
Understanding the Excel interface: ribbons, toolbars, and workbooks
Entering, formatting, and organizing data
Working with rows, columns, and cells
Basic spreadsheet functions: copy, paste, and drag
Essential Excel shortcuts to boost productivity
Module 2: Functions and Formulas
In this module, we will dive into Excel functions and formulas, which are crucial for performing calculations and automating tasks within your spreadsheets. You'll learn how to use built-in functions, write formulas, and apply them to real-world data analysis scenarios, particularly in healthcare.
Key Topics:
Introduction to functions: SUM, AVERAGE, COUNT, etc.
Logical functions: IF, AND, OR
Text functions: LEFT, RIGHT, MID, CONCATENATE
Date and time functions: TODAY, NOW, DATE
Lookup functions: VLOOKUP, HLOOKUP, INDEX, MATCH
Error handling: IFERROR and other error-related functions
Module 3: Pivot Tables
In this module, we will cover Pivot Tables, a powerful Excel tool for summarizing, analysing, exploring, and presenting data. Pivot tables allow you to quickly transform large data sets into meaningful insights and are often used in healthcare data analysis for patient statistics, trends, and more.
Key Topics:
Understanding the purpose and power of Pivot Tables
Creating and customizing Pivot Tables to summarize data
Grouping and filtering data within Pivot Tables
Using Pivot Charts for enhanced data visualization
Best practices for using Pivot Tables with healthcare data
Module 4: Conditional Formatting
Conditional formatting is a powerful Excel feature that helps highlight specific trends and outliers in your data. In this module, you will learn how to apply conditional formatting to make data more readable and visually engaging. This is particularly useful in healthcare when working with large datasets to identify important trends or discrepancies.
Key Topics:
Basics of conditional formatting: color scales, data bars, and icon sets
Applying conditional formatting to highlight key data points (e.g., high/low values, duplicates, etc.)
Using formulas in conditional formatting for advanced highlighting
Creating custom rules for more advanced formatting
Practical examples for healthcare dashboards and data analysis
Module 5: Interview Strategy
In this final module, we will focus on interview strategy and preparation for Excel-related job roles, especially in healthcare sectors like the NHS. You will learn how to present your Excel skills effectively, answer technical questions, and handle common interview scenarios.
Key Topics:
Understanding the key skills and questions often asked in Excel-related interviews
How to demonstrate Excel proficiency in practical scenarios (e.g., during an interview task or presentation)
Effective strategies for answering data analysis, problem-solving, and technical questions
Discussing healthcare-specific use cases and your ability to work with health data
Building confidence and presenting yourself as a strong candidate for Excel-related roles in healthcare
These modules will give you a comprehensive understanding of Excel’s core features, from foundational skills to advanced techniques like Pivot Tables and Conditional Formatting, all while preparing you for interviews where Excel proficiency is key.
