Over four weeks, these classes will provide an introduction to data journalism. We will cover principles of data analysis, acquiring and cleaning data, basic spreadsheet skills, plus mapping and other forms of visualization. The emphasis will be on finding and telling stories from data.
Gentrification/Labor students will meet in 142/Library on Mondays from 8.30am - 10.00am.
Rich Con/Oakland North/Tech students will in 108/Lower Newsroom on Thursdays from 8.30am - 10.00am.
Your instructor, Peter Aldhous, will maintain office hours in B1 from 10.00am-1.00pm after each class. You are encouraged to arrange appointments to discuss your work.
How to find, acquire, and process data, Including: data search and download tricks, including Table2Clipboard and DownThemAll! Firefox plugins; processing and cleaning data with Open Refine; correcting for inflation.
We will ask specific questions of data revelant to your J200 classes, by filtering, sorting and aggregating data using Google Sheets.
We will again ask specific questions of data revelant to your J200 classes, this time by making charts and maps with Tableau Public and Google Fusion Tables.
Further reading/viewing will be recommended to support weekly class material.
Unexcused absence from two classes will result in an F. Excused absences will be permitted only in extraordinary circumstances. Regardless of the reason for an absence, students will be responsible for any assignments due and for learning material covered in class.
Students must turn off the ringers on their cell phones before class begins. Students may not check e-mail, social media sites or other websites during lecture portions of class or while working on class exercises.
The high academic standard at the University of California, Berkeley, is reflected in each degree that is awarded. As a result, it is up to every student to maintain this high standard by ensuring that all academic work reflects his/her own ideas or properly attributes the ideas to the original sources.
These are some basic expectations of students with regards to academic integrity:
Any work submitted should be your own individual thoughts, and should not have been submitted for credit in another course unless you have prior written permission to re-use it in this course from this instructor.
All assignments must use “proper attribution,” meaning that you have identified the original source of words or ideas that you reproduce or use in your assignment. This includes drafts and homework assignments!
If you are unclear about expectations, ask your instructor.
If you need disability-related accommodations in this class, if you have emergency medical information you wish to share with the instructor, or if you need special arrangements in case the building must be evacuated, please inform the instructor as soon as possible by seeing him after class or making an appointment to visit during office hours. If you are not currently listed with DSP (Disabled Students’ Program) but believe that you could benefit from their support, you may apply online.