Duration: 2 Days
Course Overview
This intermediate-level Excel course is designed to empower professionals with the skills to transform raw data into meaningful insights. Participants will learn how to clean, organize, analyze, and summarize data using Excel’s powerful built-in tools. Through hands-on exercises and real-world examples, learners will gain confidence in using formulas, PivotTables, conditional formatting, and data validation to make data-driven decisions.
Whether you’re working with sales figures, customer feedback, or operational metrics, this course will help you distill complex datasets into clear, actionable information.
COURSE OBJECTIVES
Examples covered in this course:
• Identify differences in lists
• Develop dynamic tables of data
• Extract and replace text from an item in a list
• Design cascading data validation lists
• Calculate the number of distinct values
• Report on data from a list
• Combine data from another table
• Correct a poorly designed dataset
• Cleanse a dataset
• Audit the changes made to a dataset
• Automate applying changes to a dataset and multiple files
• Design reports
• Automate reports updating from a dataset
• Design adaptable charts that automatically update and are easy to manage
Course Content
Module 5: Implementing Functions to Extract Data
• Identify a piece of data with MATCH, VLOOKUP, INDEX, XLOOKUP
• Extract subsets of data with FILTER, UNIQUE, TRANSPOSE, SORT
Module 6: Importing and cleansing data with Power Query
• Navigate the Power Query interface
• Import and transform data using Power Query
• Identify data errors
• Relate and combine datasets
Module 7: Analysing Data with PivotTables
• Gain an insight into data
• Quickly restructure data
• Group and aggregate the data
• Design a data model
• Introduction to PowerPivot
Module 8: Visualising Data with Charts
• Quickly identify key points from data
• Create charts from Tables and PivotTables
• Manipulate the look and feel of a chart
• Implement SPILL ranges into a chart
COURSE PREREQUISITES
It Is Important you to have knowledge of Level 1 that is:
• Working with mixed references
• Know how to Implement and read functions
• Nest a function within a function
• Apply error handling functions
• Create a data set correctly
• Define and use Names
• Design easily to manage and adaptable calculations
• Automate calculation references being updated
• Implement a Data Validation list with formulas
• Define Conditional Formatting with formulas