Excel Intermediate Course Overview

Excel Intermediate Course Overview

The Excel Intermediate course is designed to take learners beyond the basics and equip them with a deeper understanding of Excel's more sophisticated features and functions. This course is ideal for individuals who have a foundational knowledge of Excel and wish to enhance their data analysis and spreadsheet management skills.

Module 1: Manage Advanced Charts and Tables focuses on mastering PivotTables and Pivot Charts, allowing learners to summarize and analyze large sets of data efficiently.

Module 2: Working with Functions delves into more complex formulas, such as criteria-based calculations and various logical functions like IF and IFS, improving decision-making capabilities within spreadsheets. It also covers essential lookup and date functions, enabling learners to manage and retrieve data effectively.

Module 3: Data Management teaches data consolidation, scenario creation, and understanding, as well as predictive tools like Goal Seek and Data Tables, which can aid in forecasting and optimizing data outcomes.

By completing this course, learners will significantly enhance their Excel proficiency, making them adept at managing and interpreting data, and ultimately become more valuable in roles that require advanced Excel skills.

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  • Live Online Training (Duration : 8 Hours)
  • Per Participant

♱ Excluding VAT/GST

Classroom Training price is on request

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Course Prerequisites

To ensure that participants can fully benefit from the Excel Intermediate course, the following minimum prerequisites are recommended:


  • Basic proficiency in Microsoft Excel: Familiarity with spreadsheet concepts and experience in creating basic worksheets, including formatting, basic formulas, and data entry.
  • Understanding of simple functions: Knowledge of how to use standard functions such as SUM(), AVERAGE(), MIN(), and MAX().
  • Familiarity with chart creation: Experience in creating and formatting simple charts in Excel.
  • Basic navigation skills: Comfort with the Excel interface, including the ribbon, cells, rows, columns, and the ability to navigate between different worksheets.
  • Comfort with using Windows: Familiarity with the Windows operating system and the ability to manage files and folders will facilitate the learning process.

These prerequisites are intended to provide a solid foundation for the Excel Intermediate course content, enabling students to progress through the modules effectively and gain the most from their training experience.


Target Audience for Excel Intermediate

Excel Intermediate is designed for professionals looking to enhance data analysis, reporting, and decision-making skills.


  • Data Analysts
  • Financial Analysts
  • Marketing Analysts
  • Administrative Assistants
  • Project Managers
  • Accountants
  • Business Analysts
  • Research Analysts
  • Operations Managers
  • HR Professionals
  • Sales Professionals
  • IT Analysts
  • Academic Researchers
  • Supply Chain Analysts
  • Management Consultants


Learning Objectives - What you will Learn in this Excel Intermediate?

Introduction to Learning Outcomes:

In the Excel Intermediate course, students will master advanced data analysis techniques, enhance functionality with complex functions, and effectively manage and present data using Excel's powerful tools.

Learning Objectives and Outcomes:

  • Create, format, and customize PivotTables for summarizing datasets.
  • Generate and modify PivotCharts to visually represent data from PivotTables.
  • Apply functions like COUNTIF(), COUNTIFS(), SUMIF(), and SUMIFS() for criteria-based calculations.
  • Utilize the IF function to execute conditional logic in data analysis.
  • Integrate AND, OR, Nested IF(), and IFS() functions for complex decision-making formulas.
  • Implement LOOKUP functions (VLOOKUP, MATCH, XLOOKUP) to search and reference data across spreadsheets.
  • Leverage Date Functions to manage and manipulate date-related data in Excel.
  • Use YEAR, MONTH, and DAY functions to extract specific date components from date values.
  • Consolidate data from multiple sources for comprehensive analysis and reporting.
  • Understand and create scenarios, utilize Goal Seek for solving equations, and analyze data with Data Tables for predictive analysis.