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  • Improved Data Analysis: Advanced Excel training allows you to manipulate, visualise, and evaluate data more effectively. You'll learn how to create complex equations, track various departments and operations, and design professional-level spreadsheets. These skills enable you to analyse data at a more advanced level, providing valuable insights for decision-making.
  • Enhanced Productivity: With advanced Excel skills, you can work more efficiently. You'll be able to clean up data, balance accounts, and create easy-to-read reports for upper management. By streamlining processes and automating repetitive tasks using macros, you'll save time and increase productivity.
  • Increased Employability: Employers value candidates who are proficient in Excel and other Office 365 programs. Adding advanced Excel skills to your resume enhances your employability. Many companies rely on Excel for communication, documentation, project management, and performance tracking.
  • Employee Value: For existing employees, advanced Excel knowledge is an asset. It improves work speed, efficiency, and productivity. HR managers recognize that employee satisfaction is linked to training opportunities. By investing in Excel training, companies retain skilled staff members.
  • Consistent Language Across Workplaces: Advanced Excel skills allow you to transition seamlessly between different workplaces while using the same

This course will introduce you to the essential data analysis tools and techniques in Excel, such as pivot tables, charts, slicers, and dashboards. You will learn how to perform what-if analysis using scenarios, goal seek, and data tables to explore the impact of different assumptions and values on your results. You will also learn how to create simple macros to automate repetitive tasks and enhance your productivity. Additionally, you will learn how to use data validation to control the type and range of data that can be entered in a cell, and how to use advanced functions such as VLOOKUP, INDEX, MATCH, and IFERROR to perform complex calculations and lookups.

  • You should have completed the level 2 course or have a good understanding of Excel
  • You will require a copy of Microsoft Excel and a computer
  • Using two monitors would be a help but essential
  • The course is designed for people wanting automate processes in Excel
  • This course is useful for people that carry out data analytical tasks
  • This course is useful if you work with large data sets and want to quickly interrogate specific sets
  • This course is design for people that wish to move their Excel understand forward
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  • Section 1 : Manage Data 8 Lectures 00:17:56

    • Lecture 1 :
    • Learn how to group large data sets into manageable sections
    • Lecture 2 :
    • SubTotals
    • Use SubTotals to group and analyse data
    • Lecture 3 :
    • The Filter function
    • Use the Filter function to extract selected data sets by criterion
    • Lecture 4 :
    • Named Cells
    • Naming cells and ranges makes building and understanding formula much easier. Instead of using cells reference words are used
    • Lecture 5 :
    • Naming Ranges
    • Lecture 6 :
    • Formatted as a Table
    • A formatted table is a powerful feature that allows you to visually group and analyse data. It provides several benefits, including easier sorting, filtering, and automatic formatting. Let's explore how to create and format a table:
    • Lecture 7 :
    • Exercise One Instructions
    • Download the practise file and try and complete the exercise.
    • Lecture 8 :
    • Course Content
    • This is the course content video. The course manual is available to download from here.
  • Section 2 : Pivot Tables 10 Lectures 00:25:27

    • Lecture 1 :
    • Basic Pivot tables
    • Create a simple Pivot table utilise slicers and timelines, progress to add calculations and relate tables. Finally add measures and KPIs
    • Lecture 2 :
    • Filtering in a Pivot table
    • Lecture 3 :
    • Adding % column in a Pivot Table
    • Lecture 4 :
    • Report Connections
    • Lecture 5 :
    • Grouping a Pivot table
    • Lecture 6 :
    • Calculations in a Pivot table
    • Lecture 7 :
    • Relationships in a Pivot Table
    • Lecture 8 :
    • PowerPivot Measures and KPIs
    • Lecture 9 :
    • External data into PowerPivot
    • Lecture 10 :
    • Exercise two Instructions
    • Download the practise file
  • Section 3 : What IF Analysis 8 Lectures 00:22:35

    • Lecture 1 :
    • Goal Seek
    • Learn how to use Goal Seek to solve problems. What IF analysis tool
    • Lecture 2 :
    • Scenario Manager
    • Lecture 3 :
    • Data tables
    • Lecture 4 :
    • Solver
    • Lecture 5 :
    • Forecast Sheet
    • Lecture 6 :
    • Forecast Function
    • Lecture 7 :
    • Forecast.ETS
    • Lecture 8 :
    • Exercise Three Instructions
    • Download the practise file and complete the exercise
  • Section 4 : Data Validation 5 Lectures 00:10:25

    • Lecture 1 :
    • Basic Data Validation
    • Use data validation to restrict data entry and avoid inaccurate data corrupting spreadsheets
    • Lecture 2 :
    • Conditional Validation
    • Lecture 3 :
    • Linked Validation demonstration
    • Lecture 4 :
    • Data Validation and Functions
    • Lecture 5 :
    • Exercise four instructions
    • Download the practise file and complete the exercise
  • Section 5 : Functions 25 Lectures 00:43:41

    • Lecture 1 :
    • Simple IF Function
    • Use a logical function to produce one of two results
    • Lecture 2 :
    • IF Function with an AND
    • Lecture 3 :
    • Nested IF and IFS
    • Lecture 4 :
    • VLOOKUP
    • Lecture 5 :
    • VLOOKUP to compare lists
    • Lecture 6 :
    • XLOOKUP V VLOOKUP
    • Lecture 7 :
    • COUNTIF Function
    • Lecture 8 :
    • SUMIF function
    • Lecture 9 :
    • Rolling 6 month chart with SUMIF
    • Lecture 10 :
    • COUNTIFS function
    • Lecture 11 :
    • SUMIFS Function
    • Lecture 12 :
    • Dynamic SUMIF
    • Lecture 13 :
    • Take Function
    • Lecture 14 :
    • Nesting Functions
    • Lecture 15 :
    • Index and Match Functions
    • Lecture 16 :
    • Array Functions and Spill error
    • If you see the Spill Error, check for data in the space where the formula would normal spill
    • Lecture 17 :
    • Concatenation
    • Lecture 18 :
    • Vstack
    • Lecture 19 :
    • Lookup an Image
    • Lecture 20 :
    • Use a Lookup to return multiple rows
    • Lecture 21 :
    • Exercise Five Instructions
    • Download the practise file and complete the exercise
    • Lecture 22 :
    • Text Functions
    • Lecture 23 :
    • Date Functions
    • Lecture 24 :
    • Switch Function
    • Lecture 25 :
    • Dynamic Doughnut Chart with IF & And
  • Section 6 : Basic Macros 3 Lectures 00:05:29

    • Lecture 1 :
    • Simple Macro
    • Lecture 2 :
    • Add a Macro to the quick access toolbar
    • Lecture 3 :
    • Exercise Six Instructions
    • Download the practise file and complete the exercise
  • Section 7 : Developer Controls 3 Lectures 00:07:20

    • Lecture 1 :
    • Spinner Control
    • Use some of the developer controls to enhance spreadsheets
    • Lecture 2 :
    • How to use the Check box
    • Lecture 3 :
    • Option button
  • Section 8 : Power Query Editor 5 Lectures 00:09:09

    • Lecture 1 :
    • Transform data
    • Lecture 2 :
    • Query Editor Group By
    • Lecture 3 :
    • Conditional Column
    • Lecture 4 :
    • Append Queries
    • Lecture 5 :
    • Exercise Seven Instructions
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I have been a Microsoft Office, Project and Visio trainer for IT's Easy Training since 1999. I have trained more than fifteen thousand delegates in various Microsoft applications, with a focus on Excel, Project and Access. I also offer courses on Word, Visio, PowerPoint and Publisher, but less frequently. I am passionate about learning new features and sharing my knowledge with my delegates. I tailor my courses to the business needs of my clients and provide email support and blog updates to help them apply what they learn. I am based in the UK and travel across the country to deliver training sessions.
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