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4. november 2023

Data Analysis and Visualisation in Excel




2 Lesson

Total Duration

3 Hours


4. nov. 2023

About the Course

Data Analysis and Visualization in Excel is a dynamic and comprehensive course designed to empower participants with the skills needed to proficiently analyze data and create compelling visualizations using Microsoft Excel. This course is tailored for individuals seeking to harness the full potential of Excel's data analysis and visualization capabilities. Participants will embark on a transformative learning journey, from understanding fundamental data analysis techniques to mastering advanced visualization methods.

A significant portion of the course will focus on data visualization, where participants will learn to create visually compelling charts, graphs, and dashboards. They will develop the skills to represent data trends, patterns, and outliers effectively. Special emphasis will be placed on interactive visualization techniques, enabling participants to craft engaging and user-friendly dashboards for data-driven storytelling.

Course Schedule



Saturday, 04 November 2023

13:00 - 14:30 (Denmark Time)

Sunday, 05 November 2023

13:00 - 14:30 (Denmark Time)

Learning Objectives

The key learning objectives for this course are the following:

  • Introduction to Data Analysis and Excel:

    This module serves as an introduction to the fundamental concepts of data analysis and visualization. Participants will understand the importance of data-driven decision-making and gain familiarity with Excel's interface and basic functionalities, laying the foundation for in-depth exploration.

  • Basic and Advanced Excel Functions for Data Analysis:

    This section covers a wide array of Excel functions essential for data analysis. Participants will master basic functions like SUM, AVERAGE, and COUNT, progressing to advanced functions such as VLOOKUP, HLOOKUP, and INDEX-MATCH. They will also delve into statistical functions, enabling them to perform tasks like calculating mean, median, and standard deviation.

  • Pivot Tables and Pivot Charts:

    Pivot tables are powerful tools for data summarization and analysis. In this module, participants will learn to create pivot tables to aggregate and analyze large datasets efficiently. Additionally, they will explore pivot charts, visual representations of pivot table data, enhancing their ability to communicate insights effectively.

  • Data Visualization Techniques:

    This segment focuses on the art of data visualization. Participants will explore various chart types, including bar charts, line charts, pie charts, and scatter plots. They will learn how to choose the right visualization for different types of data and interpret patterns and trends, making their analyses more insightful.

  • Interactive Dashboards and Reporting:

    Creating interactive dashboards is a key aspect of data visualization. Participants will learn to design interactive dashboards with dropdowns, slicers, and conditional formatting. They will understand how to present complex data sets in a user-friendly format, enabling stakeholders to explore data dynamically.

  • Data Communication and Presentation:

    Effective communication of data insights is crucial. Participants will gain knowledge about storytelling with data, emphasizing the importance of clear, concise narratives. They will learn how to present their findings visually, ensuring that complex analyses are conveyed in an understandable and impactful manner.

  • Best Practices and Data Ethics:

    Participants will be introduced to best practices in data analysis and visualization, focusing on ethical considerations and data privacy. They will learn about responsible data handling, avoiding biases in analysis, and ensuring the ethical use of data for decision-making, making them well-rounded professionals in the field of data analysis and visualization.

Your Instructor

Humzaa Imtiaz Ullah

Humzaa Imtiaz has a MSc in Chemical Engineering from the Technical University of Denmark, and currently works as a QMS Engineer in the Pharmaceutical Industry. He has extensive of working with Excel to perform data analysis and implement automation in the workplace. With a commitment to excellence, he has empowered countless learners to achieve their goals, drawing from my extensive background in data analysis and automation. Through his engaging teaching style and hands-on approach, he creates an interactive learning environment where students can flourish. His dedication to fostering a collaborative atmosphere ensures that every participant feels supported and motivated to excel. Join this course, where you can explore, learn and grow.

Humzaa Imtiaz Ullah

Get in touch

Are you unsure whether this couse covers what you are looking for? Or you have any other question? Then feel free to get in touch with our team at and we will be more than happy to assist in anyway we can! :)

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