News

Dear campus community, We are writing with updates on Berkeley’s active engagement with the burgeoning and exciting field of data science, which has the potential to shape numerous fields of study and practice. Our undergraduates will have many options for studying data science in depth. Of note is a recently approved Data Science major in the College of Letters and Science, effective in Fall 2018...

Looking for an on ramp to get started with data science which, according to LinkedIn, is one of the fastest growing job areas in the country? It's not too late to join Data 8x, the online version of one of UC Berkeley's fastest growing undergradate class, Foundations of Data Science. To help you get started and provide a little support and comraderie, D-Lab is starting...

The Library is provide leadership and peer support in the data sciences to undergraduates conducting research in an area such as data visualization, machine learning, text analysis, regression modeling, or other data science methods. Below are all the three data science related fellowship opportunties: 2018-2019 Undergraduate Library Fellow Applications The Library is pleased to announce eight Library Undergraduate Fellowship opportunities for 2018-2019. These fellowships seek...

Learn about exciting opportunities over summer with the Division of Data Sciences: 1) Data Science Pedagogy and Practice: A Short Summer Workshop 2) Graduate Student Introduction to Data Science Pedagogy 3) Human Contexts and Ethics (HCE) Workshop 4) Request Development Support for Data Science Modules 5) Proposals for Data Science Connector Courses (Fall or Spring)

Foundations of Data Science (STAT C8) will be available during the summer session! Foundations of Data Science, or Data 8, is Berkeley's innovative introduction to core concepts of programming and statistics. Get hands-on experience working with data while exploring real-world issues ranging from racial profiling to social networks to California water usage. The course satisfies the L&S Quantitative Reasoning requirement and the statistics requirement in...

In this one-day workshop, graduate students will learn about the pedagogy of the Data Science Education Program. This workshop will cover some of the computational and statistical concepts that students learn in the Foundations of Data Science class (Data 8) and Principles and Techniques of Data Science (Data 100), as well as an overview of the Connector courses and Modules. It will also give experience...

Berkeley’s undergraduate Data Science programs include a requirement for students to learn about the human, social, and ethical contexts in which data analytics and computational inference play a central role. Human Contexts and Ethics ( HCE) classes can be taught by instructors in different areas: Instructors who address contextual and ethical issues directly in the many domain areas where data science is put to work...

This opinion piece has been contributed by Lucy C. Erickson, Natalie Evans Harris and Meredith M. Lee, three members of the D4GX community. All three authors contributed equally to this piece. With 2.5 quintillion records of data created every day, people are being defined by how they travel, surf the Internet, eat, and live their lives. We are in the midst of a “data revolution,”...

Students and campus student organizations no longer have to search far to find resources, space and a community to answer all of their data science questions. Data Science Nexus is a new program designed to help unite students interested in data science from all across campus. The program, housed on the first floor of Moffitt Library, is a collaborative program between Moffitt Library, the Division...

[[{"fid":"250","view_mode":"default","fields":{"format":"default","field_file_image_alt_text[und][0][value]":false,"field_file_image_title_text[und][0][value]":false},"link_text":null,"type":"media","field_deltas":{"3":{"format":"default","field_file_image_alt_text[und][0][value]":false,"field_file_image_title_text[und][0][value]":false}},"attributes":{"class":"media-element file-default","data-delta":"3"}}]] The National Academies of Sciences, Engineering, and Medicine will hold a one-day meeting and webcast on "Improving Reproducibility by Teaching Data Science as a Scientific Process" on March 23, 2018. The meeting will bring together data scientists and educators in academia and industry to 1) discuss how data science can help understand and improve reproducibility of scientific research, and 2) learn about several...