MS Excel Intermediate Course

Course Dates :

28/07/2025

5

Course ID:

250728001006729ESH

Course Duration :

5 Studying Day/s

Course Location:

Course Category:

Computer Science Programmes

Subcategories: Construction Safety, Health and Wellbeing, Environmental Sustainability, Risk Management, Technical Skills Development, Leadership and Communication, Quality Assurance

Course Certified By:

* ESHub CPD
&
* LondonUni - Executive Management Training

* Professional Training and CPD Programs

Certification Will Be Issued From : From London, United Kingdom

Course Information

Introduction

Microsoft Excel has long been a cornerstone of data management and analysis across industries, serving as a versatile tool for professionals ranging from finance analysts to educators. Its ability to transform raw data into actionable insights makes it indispensable in decision-making processes. However, despite its widespread use, many professionals fail to leverage Excel’s full potential due to a lack of intermediate-level skills. This course addresses this gap by equipping participants with the knowledge and tools necessary to move beyond basic functions and unlock advanced capabilities.

The relevance of Excel in today’s professional landscape cannot be overstated. Organizations increasingly rely on data-driven strategies to maintain competitive advantage, and Excel serves as a bridge between raw data and meaningful interpretation. For instance, a marketing team analyzing campaign performance can utilize pivot tables and conditional formatting to identify trends and optimize future efforts. Yet, without a deeper understanding of these features, teams may struggle to extract maximum value from their datasets, leading to inefficiencies and missed opportunities.

One of the key challenges faced by professionals is the transition from foundational to intermediate Excel skills. While beginners often grasp basic formulas and formatting, they frequently encounter obstacles when tackling more complex tasks such as data validation, advanced charting, or automation through macros. This course bridges that gap by providing structured guidance and hands-on practice, enabling participants to overcome these hurdles with confidence.

Mastering intermediate Excel skills offers significant benefits, both for individuals and organizations. On a personal level, proficiency in Excel enhances employability and career advancement prospects, as it demonstrates analytical acumen and problem-solving abilities. For organizations, employees equipped with these skills contribute to streamlined workflows, improved accuracy, and faster decision-making. A case in point is a logistics company that reduced reporting time by 40% after staff were trained in advanced Excel techniques, allowing them to focus on strategic initiatives instead of manual data processing.

The curriculum draws upon established frameworks such as Bloom’s Taxonomy to ensure a comprehensive learning experience. Participants will progress from understanding core concepts to applying them in real-world scenarios, ultimately evaluating their effectiveness. Industry trends further underscore the importance of this training; with the rise of big data and analytics, even non-technical roles now require a baseline proficiency in data manipulation tools like Excel.

To illustrate the practical applications of this course, consider the example of a financial analyst tasked with creating dynamic dashboards for executive presentations. By mastering features such as VLOOKUP, INDEX-MATCH, and sparklines, the analyst not only delivers visually compelling reports but also ensures data integrity and interactivity. Such outcomes exemplify how intermediate Excel skills empower professionals to meet modern workplace demands effectively.

Objectives

By attending this course, participants will be able to:

Analyze complex datasets using advanced filtering, sorting, and conditional formatting techniques.
Design interactive dashboards incorporating charts, graphs, and pivot tables to visualize data trends.
Implement advanced formulas such as VLOOKUP, HLOOKUP, INDEX-MATCH, and nested IF statements to solve real-world problems.
Evaluate the effectiveness of data validation rules and error-checking methods to ensure data accuracy.
Apply automation principles by recording and editing macros to streamline repetitive tasks.
Create and manage multiple worksheets and workbooks efficiently while maintaining cross-references.
Synthesize large datasets into concise summaries using Power Query and other built-in tools.

Who Should Attend?

This course is ideal for:

Business analysts seeking to enhance their data visualization and reporting capabilities.
HR managers responsible for payroll processing, employee records, and performance tracking.
Marketing professionals who need to analyze campaign metrics and generate actionable insights.
Educators and researchers managing student data or academic studies requiring statistical analysis.
Consultants aiming to deliver high-quality client deliverables through robust Excel models.


These groups will find the course valuable because it directly addresses the challenges they face in managing and interpreting data. The content is tailored for intermediate learners—those familiar with basic Excel functions but eager to expand their skill set—and is not suitable for absolute beginners or advanced practitioners.

Training Method

• Pre-assessment
• Live group instruction
• Use of real-world examples, case studies and exercises
• Interactive participation and discussion
• Power point presentation, LCD and flip chart
• Group activities and tests
• Each participant receives a 7” Tablet containing a copy of the presentation, slides and handouts
• Post-assessment

Program Support

This program is supported by:
* Interactive discussions
* Role-play
* Case studies and highlight the techniques available to the participants.

Daily Agenda

The course agenda will be as follows:
• Technical Session 08.30-10.00 am
• Coffee Break 10.00-10.15 am
• Technical Session 10.15-12.15 noon
• Coffee Break 12.15-12.45 pm
• Technical Session 12.45-02.30 pm
• Course Ends 02.30 pm