Maps tell us the “where” of the story in a glance. They are an effective visual tool for communicating ideas, explaining complex concepts, illustrating relationships or for telling a story.
Advanced Data Mapping is a two-day, hands-on certificate workshop that will allow users to take geodata in common formats and then process it to reveal the stories it contains. Participants will learn to create visually stunning, interactive maps from complex information.
You will learn:
- To display geographic data in QGIS and to use geocoding for creating static maps;
- To process geodata with QGIS/GDAL;
- To display the processed data in digital format over an online base map;
- To create a multi-layered online maps using Leaflet;
- To import real time data from a web API and display it with customized styling.
- To use and apply advanced mapping tools such as QGIS, CartoCSS and CartoDB/Torque for creating highly interactive, data driven maps.
You’ll enjoy personalized small class instruction from expert instructors. This program is an applied learning experience for intermediate to advanced practitioners in data mapping. You’ll work hands-on with the tools and create real examples of interactive maps. This assures that you will be ready to apply your new skill set immediately upon completion of the workshop and leave with concrete examples of highly effective illustrated stories with data visualizations.
Who Should Attend?
Advanced Data Mapping is ideal for career professionals interested in a rapid-paced, immersive experience in advanced data visualization mapping tools & techniques. This workshop is ideal for marketing communicators, analysts, scientists, journalists, web editors, educators and those interested in advancing their data visualization mapping skills.
Instructors & Facilitators
Instructors subject to change.
Peter Aldhous is a science and data reporter based in San Francisco. He also teaches investigative reporting and data visualization in the Science Communication Program at the University of California, Santa Cruz. Peter got his start in journalism in 1989 as a reporter for Nature in London, fresh from a PhD in animal behavior. Later he worked as European correspondent for Science, news editor for New Scientist and chief news and features editor with Nature, before moving to California in 2005 to become New Scientist‘s San Francisco bureau chief. From 2015 to 2022 he worked on the science desk at BuzzFeed News. Peter’s maps of U.S. government surveillance flights were named data visualization of the year in the Global Editors Network’s 2016 Data Journalism Awards; that project also won gold for data journalism and the overall Most Beautiful prize in the 2016 Kantar Information is Beautiful Awards. A follow-up project, which used machine learning to identify further covert spy planes, won the JSK Fellowships award for innovation in GEN’s 2018 Data Journalism Awards. He was a finalist in the Online category of the National Academies of Sciences, Engineering, and Medicine 2019 Communication Awards for his data-driven coverage of wildfires.
UC Berkeley Graduate School of Journalism
121 North Gate Hall, Berkeley, CA 94720
- All participants must bring their own laptop for use during this workshop and it must be WiFi ready.
- The level of this workshop is intermediate. Basic data visualization experience is required.
- Participants must be comfortable with technical subjects and learning in a fast-paced environment.
- Knowledge of Excel spreadsheets or Google drive is required. SPREADSHEET TUTORIAL
- A personal Google gmail account is required for this class. Please remember to bring your user login and password information with you.
- Proficiency in English.