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Data Visualization.png

Create excellent charts and tables.

The aim of this training is to increase mastery of data visualization and to explain how to create graphs and tables that communicate correctly, are understandable, and help decision-making.




Online live class

In-class exercises


1 day

Free Resources

For whom?

For students, fresh alumni and employees who are in any position and experience within the company and need development in data visualization competencies. Most of the participant position of this course are as follows:

  • Data/Business analyst/manager

  • IT specialist/senior specialist/manager

  • Sales and marketing specialist/senior specialist/manager

  • Strategy specialist/senior specialist/manager

  • Finance specialist/senior specialist/manager

  • Management Trainee

  • CX, UX or service design specialist/senior specialist/manager

  • Project management specialist/senior specialist/manager

  • Management reporting departments

What are the requirements?

Data Visualization Course is designed for professionals who have access and basic knowledge on the use of Excel and PowerPoint. Before joining the course make sure you have a stable internet connection and Excel and PowerPoint installed on a PC or Mac. In order to assess the basic required skills of participants and understand their current level of data visualization, participants are sent a 1-slide data visualization exercise before the course. This exercise does not take so much time of the participant and roughly takes up 30 minutes of prework. The optimum solution for the exercise is discussed during online course session.

What you'll get with this course?

Along with sub-branches such as data management, data mining, data analysis of data science, which is today's popular field, data visualization has also taken its place among important competencies in the business world. Data collection is now indispensable for companies and data is definitely included in the presentations and reports. It is extremely important to use the right data analysis methods in a large number of data, to report properly with business intelligence programs and to present them to the audience with a correct data visualization method. Pages of cluttered Excel charts and bad designed slides prevent the audience at work from understanding the analysis comfortably. Data visualization course focuses on clear and plain visualization techniques that convey the message in the data. So, you'll learn:

  • How to visualize data

  • How can you simplify and present a crowded dataset

  • How to apply data visualization practices into your workflow like presentations or reports

at the end of this course. In addition, you'll be given free resources, templates and documents to be used in your daily workflow of data visualization.

Course Content

Intro to Data Visualization

  • Dataviz and design

  • Principles of dataviz

  • End-to-end data visualization case study


Scope Analysis

  • Analysis of auidence

  • Deciding on right message of data

Right visualization types

  • Using simple text as dataviz element

  • Table formatting

  • Choosing right chart for data


Clearing the clutter

  • Decluttering though data-to-ink ratio

  • Simplification of charts

Focus adjustment

  • Choosing right fonts

  • Using colors strategically

  • Coloring based on data

Making the data talk

  • Chart title vs. action title

  • Use of supporting dataviz elements

What People Say

Mert Altıparmak, Zorlu Holding

Proludus'un Veri Görselleştirme eğitimi her seviye için anlaşılır, eğitici ve katılımcıyı dahil eden bir formattaydı. İyi hazırlanmış bir eğitim içeriğinden çokça şey öğrenebilirsiniz.

Aysun Çalış, Öğrenci

İş hayatına atılmadan önce birçok insanın alması gereken bir eğitimi en başarılı şekilde aktardıklarını düşünüyorum. Teşekkürler Proludus Ekibi!

Mehmet Budak, Lineadecor

Eğitim içerik, örneklemeler ve yeni trend sunum teknikleri açısından benim açımdan çok faydalı oldu. Eğitimden son oluşacak yeni gelişmelerden haberdar olmak ve bunları iş hayatına entegre etmek isterim.

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