Course Overview
This course empowers participants to confidently navigate Excel's intermediate features, transforming their data management and analysis capabilities. By mastering essential formulas, advanced formatting, and powerful tools like PivotTables and data validation, participants will enhance their productivity and create visually compelling, insightful outputs.
Learning Objectives
- Master PivotTables and advanced formulas for complex data analysis
- Implement data validation and automation techniques for efficiency
- Create professional data visualizations and reports
- Apply advanced formatting and conditional formatting for data insights
- Develop practical skills to tackle real-world business challenges
Target Audience
Business Professionals
Professionals seeking to enhance their Excel skills for everyday business tasks
Students & Individuals
Students or individuals aiming to improve their data organization and analysis capabilities
Intermediate Users
Intermediate Excel users looking to boost their productivity and efficiency
Data Analysts
Emerging data professionals seeking to strengthen their Excel foundation
Course Curriculum
- Data Types and Formatting: Introduction to Excel data types
- Formatting data for clarity and readability
- Formulas and Operators: Understanding main formula types
- Working with operators in Excel
- Absolute and Relative References: Applying references effectively
- Practical use cases and tips
- Fill Techniques and Shortcuts: Mastering fill techniques for efficiency
- Exploring advanced fill options
- Text to Columns: Breaking down data using Text to Columns
- Flash Fill: Automating transformations with Flash Fill
- Duplicates Removal: Identifying and removing duplicate entries efficiently
- Data cleaning best practices and techniques
- Excel Navigation and Go To Tool: Exploring the Go To feature for quick navigation
- Leveraging tools for data exploration
- IF Function and Logical Operations: Using the IF function for logical conditions
- Practical examples and applications
- Filtering and Sorting: Advanced filtering and sorting techniques
- Best practices for data organization
- Pivot Tables: Creating and managing Pivot Tables for data analysis
- Utilizing slicers for dynamic insights
- Conditional Formatting: Applying conditional formatting for dynamic visuals
- Highlighting data trends and anomalies
- Data Validation: Using data validation to control input
- Setting up drop-down lists and error messages
- Lookup Functions (VLOOKUP and Xlookup): Mastering VLOOKUP for data retrieval
- Introduction to other lookup functions for advanced use cases
- Introduction to Nested Functions: Combining multiple functions for complex operations
- Practical examples and best practices
CPD Accredited