
In this online course, you will dive into the fascinating world of Dataviz or data visualization with talented designer and visual artist Luiz Ludwig. Discover how to transform data into creative graphic and interactive pieces, without the need to be a programming expert. Through free platforms, you will learn how to collect and analyze information from HTML pages to create stunning and original Dataviz.
On this creative journey, you will dive into the data scraping process, where the collected data will become a source of inspiration to generate relevant and thought-provoking stories. The final project will be creating a Dataviz themed after the Oscar winners, although you are free to choose another theme that interests you.
15 lessons & 15 downloads

11 minutes, 30 seconds

11 minutes, 2 seconds

4 minutes, 59 seconds

9 minutes, 39 seconds

8 minutes, 14 seconds

18 minutes, 13 seconds
To begin, you'll explore the exciting world of Dataviz and its applications, understanding how data can be a powerful source of artistic expression. You will learn how to use tools like Processing P5 and Google Colab to facilitate data collection and analysis.
You will then dive into the project development process, where you will use a Wikipedia page as a source of information to extract and analyze data. You will choose the best graphical way to present the results and bring your Dataviz to life through refinement and export to HTML.
Finally, you'll discover how to share your work and explore other options for creating data visualizations. Upon completing the course, you will have developed skills to tell visual and informative stories using data science and creativity.
The final project is to create an exciting Dataviz, where you will transform data into a unique visualization themed after Oscar winners, although you have the option to choose another theme that piques your interest. Through this challenge, you will put everything you have learned into practice to create a creative and original piece that has a visual impact.
This course is designed for anyone interested in data visualization and its creative potential. It is not necessary to have previous experience in programming or design, as Luiz Ludwig will guide you step by step through the process. It's ideal for designers, programmers, journalists and anyone who wants to explore Dataviz as a powerful tool for telling visual stories in an original way.
To take advantage of this course, you do not need prior programming knowledge. Just make sure you have a computer with internet access to access the free platforms used in the course. With your creativity and enthusiasm, you will be ready to explore the possibilities of Dataviz and create original and memorable data visualizations.
El profesor lo explica muy bien y es bastante facil de seguir, aunque no sepas programación.
É um ótimo início para criar um primeiro projeto de visualização de dados! O professor apresenta alternativas tanto para quem gosta de mexer com código, como para quem não tem tanta proficiência!
muy bueno para iniciarnos en este viaje
Não sabia nada sobre Dataviz e achei interessante a ideia de organizar melhor os dados dos meus trabalhos/estudos e no final achei o curso legal, explica o basico mas da para ter uma ideia do assunto. Talvez uma pessoa com mais conhecimento iria precisar de algo mais aprofundado mas para mim foi bem legal.
Muy interesante, me ha descubierto todo un mundo de posibilidades.

Introduction
Preparation
Production
Next steps
Final project
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Yes, this course is designed for people with intermediate skills in programming or design who want to deepen their knowledge of data visualization and web scraping techniques.
It's recommended to have basic programming knowledge, especially in Python and programming logic, to keep up with the practical lessons and exercises.
You'll need tools like Processing, Arduino (optional), Google Colab, Python, P5.js, and web browsers for inspecting HTML code. All these tools are free or have free versions.
You'll learn how to collect, process, and creatively visualize data using programming techniques, web scraping, text analysis, and creating interactive charts and layouts.
Yes, the course covers web scraping techniques with Python, including using Beautiful Soup, Requests, and Google Colab, as well as how to collect, clean, and organize data from HTML pages.
Yes, the course teaches how to build interactive data visualizations using Processing and P5.js, exploring shapes, colors, mouse interactivity, and exporting graphics.
Using Arduino is optional. It's introduced as a complementary resource for specific projects but isn't required for most course activities.