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An op-ed by a UC Berkeley student arguing for the need for the campus' investment in data science education.

Berkeley’s data science offerings continue to grow this spring, with a variety of new courses available in departments across the campus. In addition to the courses listed below, an additional set of courses is still under development. Note that the information below is subject to change; please check back often for updates. Foundations of Data Science This spring, Berkeley’s four-unit Foundations of Data Science course...

Probability for Data Science (Stat 140) Instructor: Professor Ani Adhikari, Statistics Lecture TuTh 3:30-5:00 155 Kroeber Discussion Sections: 101: Wed 2-3 344 Evans 102: Wed 3-4 344 Evans Labs: 111: Fri 3-5 330 Evans 112: Fri 4-6 342 Evans [[{"fid":"71","view_mode":"width_300","fields":{"format":"width_300","field_file_image_alt_text[und][0][value]":false,"field_file_image_title_text[und][0][value]":false},"type":"media","link_text":null,"attributes":{"class":"width-300 media-element file-width-300"}}]] This new course introduces students to probability theory using both mathematics and computation, the two main tools of the subject. The contents have...

[[{"fid":"88","view_mode":"width_400","fields":{"format":"width_400","field_file_image_alt_text[und][0][value]":"Monsoon flooding image","field_file_image_title_text[und][0][value]":"Monsoon flooding image"},"type":"media","link_text":null,"field_deltas":{"1":{"format":"width_400","field_file_image_alt_text[und][0][value]":"Monsoon flooding image","field_file_image_title_text[und][0][value]":"Monsoon flooding image"}},"attributes":{"alt":"Monsoon flooding image","title":"Monsoon flooding image","style":"float: right;","class":"width-400 media-element file-width-400","data-delta":"1"}}]]In spring 2017, UC Berkeley data science students will have an opportunity to take a new project-based, interdisciplinary course focused on the role that hydrology plays in malaria transmission. Using data from sub-Saharan Africa, students will collaborate with each other and partners at a nonprofit organization to improve the hydrologic...

[[{"fid":"91","view_mode":"width_300","fields":{"format":"width_300","field_file_image_alt_text[und][0][value]":"Luis Macias","field_file_image_title_text[und][0][value]":"Luis Macias"},"type":"media","field_deltas":{"1":{"format":"width_300","field_file_image_alt_text[und][0][value]":"Luis Macias","field_file_image_title_text[und][0][value]":"Luis Macias"}},"attributes":{"alt":"Luis Macias","title":"Luis Macias","style":"float: right;","class":"width-400 media-element file-width-300","data-delta":"1"}}]] This fall the Data Science Initiative and the D-Lab partnered with student organizers to initiate the Data Scholars program, a community providing a welcoming environment and support resources to underrepresented students taking Foundations of Data Science (Data 8), Berkeley’s lower-division course for students of all intended majors. One of the driving forces behind the program...

This fall, more than 500 students are taking Foundations of Data Science, Berkeley's lower-division data science course for students of all majors. A survey was completed in September by nearly all of the enrolled students in the Fall course (504 out of 517), taught this fall by Professor Ani Adhikari of Statistics. Below is a snapshot of the students enrolled in the course this fall...

A team of Berkeley faculty have been awarded a $150,000 Google grant and $30,000 of in-kind credits to further develop the computing environment used in Foundations of Data Science, Berkeley’s pioneering course for lower-division students of all majors. In the Foundations course, as well as the associated “connector” courses, students become proficient with data analysis and computing by working hands-on with real data, addressing real-life...

This spring, Berkeley’s growing Data Science curriculum will take another step forward, with the introduction of a new lower-division course that allows students of all majors to learn relatively advanced statistical methods without the need for extensive prerequisites. “This course is really building on the excitement and energy of the current Data Science momentum at Berkeley,” said Statistics Professor Elizabeth Purdom. “We feel we’re meeting...

Students interested in data science at Berkeley are invited to join us for the Fall's first Data Science Social hosted by data science student groups like the Data Society Society, Undergraduate Statistics Association, ML@B, Diversatech, Haas Data Science Club, and more. Time: Thursday at 6 PM - 8 PM Location: BIDS 190 Doe Library The Data Science Social will feature: * Talks by faculty and...

Undergraduate students interested in data science have a unique opportunity to apply the skills learned in class to hands-on research projects led by UC Berkeley faculty. The Undergraduate Research Apprentice Program (URAP) is the perfect way to get involved in Berkeley’s world-renowned research and develop more advanced skills. URAP is one of the signature programs of a Berkeley education. Students can also earn 1 unit...