2022 King’s Summer Data School taking waiting list
The King’s Summer School in Data Journalism is once again going online. This is the 15th consecutive year for Canada’s best and longest-running data journalism training program and it will run from June 27 to 30.
Currently the school is full, but we are taking a waiting list. Please email email@example.com to be added to the waiting list. We are at capacity at the reduced rate for freelancers, small publications and journalism students. If you go on the waiting list, you will need to pay the regular journalist rate unless someone who paid the special rate cancels.
We are also keeping a list for anyone who is interested in next year’s in-person school. Email firstname.lastname@example.org to be added to the list; we’ll then notify you when registrations open. Note: you will only have a reserved spot for 2023 when payment goes through. Rates for 2023 are not yet set.
The instructor this year will be David McKie, deputy managing editor of Canada’s National Observer and co-author of The Data Journalist, who also teaches in the graduate and undergraduate programs at King’s.You’ll learn the basics you need to find, understand, analyze and visualize data to find and tell important stories. The focus is on data literacy and basic analysis techniques using spreadsheet, mapping and visualization tools. This is the course you need if you’ve been wanting to get started with data journalism but don’t know where to begin. You’ll learn the basics of working with data, how to obtain data, prepare and clean it and find the patterns and trends that lead to stories.
The course costs $220 for post-secondary journalism students/freelancers/employees of small outlets with under 30,000 weekly circulation, $290 for other journalists, $500 for journalism faculty and $800 for all others. Rates increase after June 5. Full rate details are on the signup form. Room is limited.
We are proud to announce that once again, the school is sponsored by our partners at Investintech Inc. All registered participants will receive a free license for Able2Extract Professional, which makes it easy to extract data from PDF files. This is an approximate $200 value.
Instruction will be conducted using a mix of video modules and live sessions using video conferencing, with your classmates, instructor and guest experts. You’ll need to purchase an e-book version of the Data Journalist for about $19 plus tax. You’ll need a Kobo device, or you can download the Kobo app to your computer or mobile device. You will also need an internet-connected computer, either PC or Mac and a copy of Microsoft Excel (Chromebooks will not work and the Apple Numbers spreadsheet will not be sufficient). Everything else will be done using open-source tools or in the cloud. Before the school begins, you will receive instructions for downloading software.
All data we use will either be online, or made available for secure download.
We prefer payment by credit card, but will accept cheques. Registration will not be confirmed until payment is confirmed or the cheque has cleared. Please fill out, scan and send the signup form to email@example.com.
Note that there are limited spots at the student/freelance/small outlet price. Students must prove eligibility with a letter from their journalism program (see signup form for details). To establish freelance status, please send a list of links to at least five stories published by professional media organizations within the past six months to firstname.lastname@example.org (personal blogs to do not qualify and determination of qualifying freelance status will be at the sole discretion of the King’s data school).