Program Overview

Applied Data Science: Communication & Visualization

The Applied Data Science: Communication & Visualization program is designed to equip individuals with the skills necessary to effectively communicate and visualize data insights. This program focuses on two critical areas of the data science pipeline: communication and visualization.

Program Overview

The program is tailored for individuals who work with data and wish to develop industry-level skills in analyzing and communicating with data. It is particularly suited for those engaged in big data and data analysis projects, including marketers, journalists, consultants, business owners, analysts, and academics.

Target Audience

The target audience for this program includes:

• People who work with data and want to develop industry-level skills in analyzing and communicating with data
• Individuals engaged in big data and data analysis projects
• Those seeking to switch careers or open up new opportunities in their current workplace with a formal recognition of their skills and an EPFL COS Diploma

Why Enroll

The ability to simplify complex information and analysis through stories that better reveal insights and effectively communicate findings is a key skill for anyone who works with data. Strong data visualization and communication skills will add impact to your message.

Course Curriculum

The program includes four certified courses and a customizable capstone project. Learners who successfully complete the program earn an EPFL Certificate of Open Studies Diploma and 15 ECTS credits.

Course Details

1. Basic Data Science Reports

• Getting ready with R and RStudio
• Data wrangling with the tidyverse
• Introduction to data visualization and the grammar of graphics
• Study relationships with data visualization
• Study distribution with data visualization
• Organizing reports with RMarkdown
• Case studies in time series, cartography, and network data

2. Advanced Data Science Reports

• In-depth data wrangling for visualization
• Mastering annotations on charts
• Advanced report and presentations automations
• Communicating about uncertainty
• Designing corporate themes
• Research-based best practices for charts
• Storytelling with animations
• Advanced case studies in time series, cartography, and network data

3. Interactive Data Science Visualization

• Introduction to HTML widgets ecosystems
• Rethinking visualization for interactivity
• Introduction to Shiny app architecture
• Converting static charts to Shiny apps
• Blending Shiny app and Rmarkdown reports

4. Customized Dashboards

• Best practices in Shiny app architecture
• Customizing Shiny apps with CSS and JavaScript
• Managing diverse input/output for Shiny apps
• Testing Shiny apps
• Custom visualizations with D3

5. Capstone Project

• An opportunity to showcase all the data visualization and communication skills and knowledge learned on the program by applying them to your own data communication and visualization project.

Program Details

• Duration: The course is estimated at 450 hours, including all project work.
• Format: The program consists of video trainings, written lessons, and hands-on exercises, with a focus on hands-on project work.
• Prerequisites: The program is taught at an intermediate level and requires English at B2 level, understanding of data wrangling, and prior experience with any programming language.
• Tuition Fee: The monthly subscription fee is CHF 590.
• Certification: Upon successful completion, learners earn an EPFL Certificate of Open Studies Diploma and 15 ECTS credits.