Introduction to Data Visualization
A course by Victor PascualData Visualization Specialist
A course by Victor Pascual, Data Visualization Specialist
Create interactive visualizations and learn to represent data from your favorite series
In this course by Víctor Pascual, discover what data visualization is, seeing how to distinguish between static and dynamic or interactive graphics.
Learn the basic rules to take into account when developing a visualization to help your critical analysis. As well as analyzing and communicating data, end up answering questions you hadn't even considered before!
What will you learn in this online course?
12 lessons & 9 downloads
Influences
12 minutes, 52 seconds
The process of data visualization
5 minutes, 25 seconds
Objectives and examples
14 minutes, 27 seconds
Basic rules
16 minutes, 27 seconds
Explanation of the project
5 minutes, 21 seconds
Introduction to data scraping
10 minutes, 38 seconds
What's included in this course?
Start by getting to know Víctor Pascual and his work a little better, and discover exactly what data visualization consists of.
Next, learn to develop effective visualizations by familiarizing yourself with the process, the objectives, and the basic rules. All information is accompanied by practical examples to help you consolidate your knowledge more effectively.
Now it's time to carry out data collection and analysis! Learn data scraping, basic statistics, and what distribution is as well as what it's for. Víctor also shows you some useful tricks for Google Sheets (online spreadsheets similar to Excel) along with z-score calculations and forecasting models.
Round out the course by creating a data visualization using Tableau Public, a data analysis software that allows you to see patterns, identify trends, and explore visual information in seconds to envisage the data from your favorite series.
Recommended software & tools for this course
What is this course's project?
Visualize your favorite series interactively by learning to "scrape" or collect data on www.imdb.com and process it all in a spreadsheet. As a final result, discover the stories hidden behind the data by uncovering details that reflect how viewers have experienced these series.
Projects by course students
Who is this online course for?
This course is completely transversal and can be taken by people with all kinds of backgrounds. It is of special interest to designers, journalists, analysts, and online marketing professionals who want to learn how to extract value from and represent data.
professionals who want to learn how to represent and extract value from data.
Requirements and materials
No previous knowledge is required for this course.
In terms of materials, you need a computer with an internet connection and access to Google Sheets and the Tableau Public software.
Reviews
- 4 months ago
me encanto , buena explicación en cada unidad
- 5 months ago
The content was clear however the presentation needs to be available in English. The instructor spoke English but used visuals from another language. The resources need to be updated as some of the urls do not work. The fact that Domestika is using a bot to respond to questions indicates to me a disconnect between themselves and instructors. The instructor for this course has not updated course resources. Domestika uses content from original courses to create guided material. Pay twice same.
- 6 months ago
¡Me encantó!, Víctor hace que parezca muy sencillo trabajar con datos. Estaría buenísimo explorar más sobre las posibilidades gráficas de Tableau, he encontrado visualizaciones muy interesantes con formas que parecen personalizadas y quiero aprender a hacer eso, ¿me pueden recomendar un curso para profundizar en la herramienta?
- 8 months ago
Un curso claro que te lleva a traves del proceso, desde la toma de datos hasta la visualización. Muchos tips buenos
- 8 months ago
Las explicaciones super claras y el curso es muy util.
After three years as part of the Bestiario team, Víctor began his new adventure as a data analysis and visualization consultant for companies including SIRIS Academic and Mobile Media Content, where he leads a diverse range of R&D projects.
Víctor is also committed to training in information visualization, which led him to codirect Spain's first postgraduate course on the subject (IDEC) as well as participate in a number of different conferences and workshops. He currently collaborates with different master's and postgraduate degree programs.
Content
- U1
Data Visualization
- Víctor Pascual
- Introduction to Data Visualization
- Influences
- U2
How to develop effective visualizations
- The process of data visualization
- Objectives and examples
- Basic rules
- U3
Data collection and analysis
- Explanation of the project
- Introduction to data scraping
- Cleaning and data processing
- Preparing the data
- U4
Display data with Tableau
- Introduction to Tableau Public
- View data from our series
- FP
Final project
- Introduction to data visualization
What to expect from a Domestika course
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Enjoy learning from home without a set schedule and with an easy-to-follow method. You set your own pace.
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FAQs
Data visualization is the process of representing information through charts and images to make it easier to interpret large datasets and quickly spot patterns, trends, or anomalies.
The course is designed for people with intermediate skills in data handling and digital tools, covering everything from theoretical basics to advanced visualization techniques.
You’ll need access to Google Sheets or Excel, Tableau Public, and some basic knowledge of R and D3 if you want to explore advanced options. Prior experience with all these tools isn’t required.
You’ll learn how to analyze, clean, and prepare data, apply perceptual and theoretical principles in visualizations, create both interactive and static visuals, and choose the right chart type for your context and audience.
Scrollytelling is a storytelling technique that combines web scrolling with sequential visualizations, guiding users interactively through the story the data tells.
The course teaches you how to import, clean, and analyze data in Google Sheets and Tableau Public, and how to use their features to build interactive charts, maps, and custom dashboards.
Yes, the course covers basic web scraping techniques to gather data online, as well as methods to clean and organize that data in spreadsheets before visualizing it.