Religion, Conflict and Peace
Religion, Conflict and Peace
Schedule Info
Tuesday
13:00 PM - 15:00 PM
Sunday
5:00 PM - 6:30 PM
Save

Overview

Want to make working with data more creative? In this bootcamp, you’ll learn how to turn data into art and create visual projects that truly stand out. We’ll show you how to use tools like RAWGraphs and Tableau to turn data into beautiful, memorable projects. By the end of the bootcamp, you’ll create your own piece that will definitely level up your portfolio.

Book Now
Logo 1 Instructor Natalia Kiseleva
Logo 2 Total Sessions 8
Logo 3 Date 1 Jan - 1 Feb
Logo 4 Avaiable Seats 30
Logo 2 Duration 4 Weeks
Logo 2 Booking Deadline 1 Dec
Logo 2 Level Beginner
Logo 2 Fees $0.00
module-icon

Modules

Introduction to Data Art Module 1

We will discuss about the data art phenomenon and its world practices and trends. Then we will focus on the basics of data visualization.

  • What is Data Art? Examples, Best practices
  • The process of creating a data art project
  • Classification of Data Art
  • The Basics of Data Visualization: Gestalt principles and visual attributes
  • Different types of charts and their limitations
Data Art Techniques: Analogue and Digital Module 2

This module is devoted to the different types of data art techniques, examples, and features of working with them. We will pay attention to sketching and collecting personal data as well as to the analysis of tools and the stages of creating projects.

  • Material and analog data art techniques and tools
  • Sketching
  • Personal data collecting
  • Digital data art techniques
  • Statics and Interactivity
  • Analysis of digital tools
Project Creation: From Idea to Prototyping Module 3

In this module, we will focus on choosing a project topic, collecting data, and also begin sketching and prototyping. I will show you the basics of Tableau and RAWGraphs software. We will work more closely on project structure and data encoding methods.

  • Choosing a project topic & collecting the data
  • Finding inspiration
  • Sketching and prototyping
  • Basics of working with the tools: Tableau, RawGraphs, Figma
  • Creating project structures and choosing data encoding methods
Data Art Project Creation and Feedback Module 4

We will finish creating your personal data art project in Figma. We will also conduct summaries, receive feedback on projects, and study the future path of data art products. We describe the process of creating your project.

  • Creating your personal data art project
  • Feedback on projects
  • The future path of data art products
Introduction to Data Art Module 1

We will discuss about the data art phenomenon and its world practices and trends. Then we will focus on the basics of data visualization.

  • What is Data Art? Examples, Best practices
  • The process of creating a data art project
  • Classification of Data Art
  • The Basics of Data Visualization: Gestalt principles and visual attributes
  • Different types of charts and their limitations
Data Art Techniques: Analogue and Digital Module 2

This module is devoted to the different types of data art techniques, examples, and features of working with them. We will pay attention to sketching and collecting personal data as well as to the analysis of tools and the stages of creating projects.

  • Material and analog data art techniques and tools
  • Sketching
  • Personal data collecting
  • Digital data art techniques
  • Statics and Interactivity
  • Analysis of digital tools
Project Creation: From Idea to Prototyping Module 3

In this module, we will focus on choosing a project topic, collecting data, and also begin sketching and prototyping. I will show you the basics of Tableau and RAWGraphs software. We will work more closely on project structure and data encoding methods.

  • Choosing a project topic & collecting the data
  • Finding inspiration
  • Sketching and prototyping
  • Basics of working with the tools: Tableau, RawGraphs, Figma
  • Creating project structures and choosing data encoding methods
Data Art Project Creation and Feedback Module 4

We will finish creating your personal data art project in Figma. We will also conduct summaries, receive feedback on projects, and study the future path of data art products. We describe the process of creating your project.

  • Creating your personal data art project
  • Feedback on projects
  • The future path of data art products
Who should Join?
mentor-image
About The Mentor
Natalia Kiseleva
Russia
Hi! I'm a software engineer and DataViz and Data Art populariser. I'm currently the editor in chief of Data2speak Inc and head of the local Flowers and Numbers - a data art community for blogging, broadcasting and digital publications on data art. I create educational data comics about data visualisation and analytics and business intelligence dashboards in Power BI and Tableau.