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Modules Computing, Data Science, and Society

Details: Students in modules learn to use the Python programming language and complete assignments in Jupyter notebooks, both gold-standard data science tools that are used in the Data Science Education Program. Instructors can share data with students, assign homework and write instructions in the cloud-based notebook (no software installation required

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2021 National Workshop on Data Science Education

Details: Online Format for Summer 2021. One day Bootcamp on teaching a Data 8 style fundamentals class. Office hours from the Berkeley professors and student staff and Labs for Data 8, Data 100 and Data Science Modules. Panels and discussions on a variety of topics Wednesday to Friday.

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Data Science Education Opportunities Computing, Data

Details: Workshops for External Professors. Second National Workshop on Data Science Education. June 24-27, 2019. UC Berkeley has pioneered an innovative undergraduate “Foundations of Data Science ” curriculum that takes an integrated approach to introductory computer science and statistics, allowing students to use data-driven methods to think critically about the world, draw …

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Data Science Academic Resource Kit Computing, Data

Details: The Data Science Education Program seeks to broaden the suite of connector offerings available to students and increase the potential to integrate data science into existing curricula. DSEP is able to provide a range of technical, pedagogical, financial, and community-building support to you in piloting a course, as well as computer lab space

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Undergraduate Data Science Education Computing, Data

Details: Empowering all students to engage as leaders and change agents in a data-rich world. Data Science Undergraduate Studies provides a diverse range of opportunities for students of all majors to engage and lead in data science.. We have empowered undergraduates to help develop curriculum, take on substantive research, etc. Hundreds of students every semester engage as full partners in curriculum

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Data Science Connector Courses Computing, Data Science

Details: The course draws on a variety of business and social science applications, including advertising, management, online marketplaces, labor markets, and education. This course, in combination with the Data 8 Foundations course, satisfies the statistics prerequisite for admission to Haas.

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HCE Teacher Training Computing, Data Science, and Society

Details: The Human Contexts and Ethics (HCE) Program is hosting a 2-hour workshop as part of the 2021 National Workshop on Data Science Education called "Towards Social Justice in the Data Science Classroom: How to teach with human contexts and why it matters." The workshop will provide an orientation to what are the social justice implicaitions of data

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Data 8: Foundations of Data Science Computing, Data

Details: Foundations of Data Science (Data C8, also listed as COMPSCI/STAT/INFO C8) is a course that gives you a new lens through which to explore the issues and problems that you care about in the world. You will learn the core concepts of inference and computing, while working hands-on with real data including economic data, geographic data and social

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Home Computing, Data Science, and Society

Details: The California Alliance for Data Science Education is a new initiative spearheaded by UC Berkeley’s Division of Computing, Data Science, and Society convening institutions of higher education from around the state of California to solve these bottlenecks and challenges.

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2020 National Workshop on Data Science Education

Details: 2020 National Workshop on Data Science Education. National Data Science Education Workshop. Hybrid Online Format June 22-26, 2020. A set of recorded talks was released on Monday, June 22nd, available on YouTube. Office hours from the Berkeley professors and student staff and Labs for Data 8, Data 100 and Data Science Modules were held on

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Data 100: Principles and Techniques of Data Science

Details: Students in Data 100 explore the data science lifecycle, including question formulation, data collection and cleaning, exploratory data analysis and visualization, statistical inference and prediction , and decision-making. The class focuses on quantitative critical thinking and key principles and techniques needed to carry out this cycle.

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Requirements Computing, Data Science, and Society

Details: The four-unit foundational Data Science course, Foundations of Data Science, or Data 8 (COMPSCI / INFO / STAT C8), satisfies the L&S Quantitative Reasoning requirement and the statistics requirement in most majors that require statistics. Majors that accept Data 8 to satisfy statistics requirements: Business Administration (Stat 88 or UGBA 96 also required)

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Background Computing, Data Science, and Society

Details: Background on the Data Science Education Program at Berkeley. Berkeley faculty across many disciplines have collaboratively created a model for a comprehensive undergraduate data science curriculum. Starting from the blueprint in the January 2015 report of the Data Sciences Education Rapid Action Team (DSERAT), the curriculum is built around a

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California Alliance for Data Science Education Computing

Details: Advancing Data Science Education for California. Mission. Board Members. Conferences. There is an urgent need to expand access, diversify participation, and support data science teaching across higher education institutions in the state of California. This sector will be fundamental to the health of the state’s economy, and a well-trained

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Curriculum Overview Computing, Data Science, and Society

Details: Berkeley’s Data Science education program aims at a comprehensive curriculum built from the entry level upward to meet students’ varied needs for data fluency. It includes a diverse constellation of connector courses that allow students to explore real-world issues related to their areas of interest and continues with intermediate and

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Academics Computing, Data Science, and Society

Details: The undergraduate Data Science Education programs include the data science major, which incorporates technical foundations and the study of human contexts and ethics, along with more than two dozen domain emphases, or areas of application. Learn more. Graduate and Professional Programs. Data science research and education activities are

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Data Science Education Workshops Computing, Data Science

Details: Data Science Education Workshops. 2019 National Workshop on Data Science Education. The Division has created a series of workshops to share resources, exchange ideas, and support integration of data science education on and off campus. At the core of these workshops is Berkeley's Foundations of Data Science curriculum, which takes an integrated

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2019 National Workshop on Data Science Education

Details: Participants will come away with an in-depth understanding of these education approaches and ways to translate them to your institution.: Foundations of Data Science: Designing a curriculum built on computational thinking with Python, inferential thinking by resampling, prediction, and machine learning.

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› Url: https://data.berkeley.edu/academics/resources/data-science-education-resources/2019-national-workshop-data-science-education Go Now

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Data Science Education Partner Institutions Computing

Details: Data Science International Ecosystem. As of February 2019, the Data Science Education Program has worked together with 60+ colleges and universities to help adopt Data 8 or Modules into their curriculum. A screenshot of all the institutions (universities, colleges, K-12) we have helped in the past is listed below.

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› Url: https://data.berkeley.edu/academics/resources/data-science-education-resources/partner-institutions Go Now

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Resources Computing, Data Science, and Society

Details: Berkeley Data Stack. The Berkeley Data Stack is a collection of open source tools that help enable large-scale data science research and education efforts across UC Berkeley, including Jupyter Interactive computing notebooks, textbooks, and autograding tools.

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Data 104: Human Contexts and Ethics of Data Computing

Details: Originally created in 2018 to serve the Data Science Education Program, Data 104 brings concepts from the research frontier down to an undergraduate level, in a compelling and interactive way. The course is connected in content to the other Data Science Backbone courses, and designed with them in mind.

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About HCE at Berkeley Computing, Data Science, and Society

Details: HCE education is a collaboration across disciplines. Social scientists, humanists, and engineers working alongside one other at every level of the university to shape HCE curriculum. Both social sciences and humanities and engineering fields get shaped and re-defined in the process of engaging HCE.

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UC Berkeley Initiative Helps to Advance Data Science

Details: The California Alliance for Data Science Education is a new initiative spearheaded by UC Berkeley’s Division of Computing, Data Science, and Society convening institutions of higher education from around the state of California to solve these bottlenecks and challenges.

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› Url: https://data.berkeley.edu/news/uc-berkeley-initiative-helps-advance-data-science-education-across-california Go Now

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Student Applicants Computing, Data Science, and Society

Details: Requirements for Ph.D. Students. The basic requirements of the DE-CDSE are as follows: 1. Students must apply to add the DE-CDSE before taking their qualifying exam. 2. Submit a complete online application. (link is external) 3.

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› Url: https://data.berkeley.edu/decdse_students Go Now

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Graduate and Professional Programs Computing, Data

Details: I School(link is external) The I School. (link is external) offers professional master’s degrees in information management, data science, and cybersecurity; an academic doctoral degree; and a Graduate Certificate in Applied Data Science. (link is external) . Learn more.

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NSF-funded CloudBank will broaden access to Berkeley’s

Details: CloudBank is the result of a mid-2019 $5 million NSF award to SDSC and its partners to develop a suite of managed services to simplify public cloud access for computer science research and education. Over the past year, the CloudBank team has been working with public cloud providers, early users, project advisors, and the broader computer

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Program Overview Computing, Data Science, and Society

Details: The CDSE program is committed to the development of new curricula and expanded programs aimed at development and propagation of the use of numerical and computational tools to further research across multiple disciplines. To that end, the CDSE program will actively support the training and multidisciplinary education of scientists, engineers

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Public Education Specialist (4168U)

Details: The Public Education Specialist position involves designing, conducting, promoting, and supporting various public educational program such as Modules: Data Made Accessible to Many and Data Scholars. The incumbent is responsible for researching and assessing educational needs and interests for targeted public segments, and develops programs

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› Url: https://data.berkeley.edu/public-education-specialist-4168u-internal-applicants-only Go Now

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UC Berkeley’s National Data Workshop Spurring Data Science

Details: The Data Science Education Program is part of the Division of Computing, Data Science, and Society (CDSS), which launched in 2019. "It was really grassroots," said Anthony Suen, director of programs for the Data Science Education Program and co-organizer of the June 22-26 event.

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Berkeley Data Stack Computing, Data Science, and Society

Details: Berkeley is partnering with UC San Diego and the University of Washington on a grant from the National Science Foundation to develop CloudBank, a suite of managed services to remove barriers to public cloud access for data science and computer science research and education. Details and updates here.

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External Resources Computing, Data Science, and Society

Details: This page contains a collection of resources for professors to use in adopting data science curricula at their own institutions. These resources have been prepared through a collaborative effort with the Data Science Education Program (DSEP) and the professors of the Department of Statistics, Computer Science, and more.

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› Url: https://data.berkeley.edu/external Go Now

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Next Generation Faculty Symposium: Enhancing STEM

Details: The Stanford.Berkeley.UCSF Next Generation Faculty Symposium held its inaugural event on October 23rd to highlight the work of exceptional early-career scientists in the broad field of quantitative biological and biomedical sciences, with a track record of research productivity and demonstrated contributions to enhancing diversity, equity, and inclusion in STEM.

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› Url: https://data.berkeley.edu/news/next-generation-faculty-symposium-enhancing-stem-diversity-higher-education Go Now

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Data Science Undergraduate Studies Computing, Data

Details: John DeNero. Associate Dean of Undergraduate Studies. Division of Computing, Data Science, and Society. Data Science Education Program.

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Human Contexts and Ethics Program Computing, Data

Details: The Human Contexts and Ethics (HCE) program is a community of students and faculty examining the dynamics of technology development and human life in a datafied world. HCE education explores how human, social, and institutional structures and practices shape technical work around computing and data, as well as how data, data analytics, machine

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Undergraduate Student Opportunities Application Hub

Details: The Campus Support teams work directly with both students and campus, providing support for data science and being amabassadors for the Data Science Undergraduate Studies Students will learn the ins-and-outs of a rapidly growing academic organization and make their mark on the largest Data Science education program in the nation by contributing

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National Data Science Education Workshop Shares Best

Details: UC Berkeley’s National Workshop for Data Science Education was created to support the increasing demand for data scientists; sharing best practices around teaching Data Science and Berkeley’s open-source curriculum, and creating a community around Data Science Education with instructors in higher education interested in developing Data

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Data Science Major Computing, Data Science, and Society

Details: The data science major incorporates technical foundations and the study of human contexts and ethics, along with more than two dozen domain emphases, or areas of application.The data science minor features a flexible design to serve students from a range of majors.. The Data Science Major and Minor programs come in response to intensifying student, faculty, business, and societal demand amid

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Declaring the Major Computing, Data Science, and Society

Details: The prerequisites to declare the L&S Data Science major are Foundations of Data Science, Calculus I, Calculus II, Linear Algebra, Program Structures, and Data Structures. All prerequisites to declare must be completed for a letter grade and passed with a 'C-' or higher. Students must achieve a 2.0 Grade Point Average in Data 8, Linear Algebra

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Christina Teller Computing, Data Science, and Society

Details: Data Science Education Program. Bio/CV: Christina Teller joins the division from UC Berkeley's Office of Undergraduate Advising within the College of Letters and Science (L&S), where she was an Assistant Director. While in that role, she served as a catalyst for change, leading the process of significant organizational change that culminated

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John DeNero Computing, Data Science, and Society

Details: Data Science Education Program. Bio/CV: John DeNero is the Giancarlo Teaching Fellow and an Associate Teaching Professor in the Department of Electrical Engineering and Computer Science at UC Berkeley. John has co-developed and teaches two of the largest courses on campus, CS 61A and Data 8. His teaching has been honored with the Distinguished

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Fall 2021 Courses Computing, Data Science, and Society

Details: The course draws on a variety of business and social science applications, including advertising, management, online marketplaces, labor markets, and education. This course, in combination with the Data 8 Foundations course, satisfies the statistics prerequisite for admission to Haas.

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Data Science Honors Program Computing, Data Science, and

Details: Data Science Honors Program. The Data Science Honors Program consists of a year-long research and thesis project, conducted over 2 consecutive semesters. Students will complete 2 courses as part of the honors program: DATA H195A (Fall semester, 2 units) assists students with writing their research proposal, beginning to collect data, and with

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Data Peer Consulting Computing, Data Science, and Society

Details: Undergraduate UC Berkeley students apply through an application and must go through an interview process. We accept applications to join the team every semester, please check the Data Science Education Program's Student Opportunities Page to learn more.

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Infrastructure: Software Development Intern Computing

Details: This opportunity is an exciting intersection between software development and data science for education. As a software development intern, you will be part of a fast-paced organization and develop features for open-source products with a global reach; our current software is used by tens of thousands of students across the country.

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Diversity, Equity, and Inclusion Computing, Data Science

Details: In education, the Division strives to create inclusive curricula, collaborate with a diverse group of faculty, create a welcoming community that expands opportunity for students from all areas of campus, and create a pipeline of programs (such as SEEDS Scholars and Berkeley Unboxing Data Science) to expose K-12 students to data science.

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Requirements: Lower Division Computing, Data Science

Details: Requirements: Lower Division. Based on changes to L&S policy, courses completed at UC Berkeley with a grade of Pass in Spring 2020, Fall 2020, Spring 2021 and Summer 2021 will count toward Data Science major requirements, including prerequisites to declare the major. Please see the L&S P/NP policy modifications. for more information.

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Discovery Exchange Computing, Data Science, and Society

Details: Introduction to Discovery Exchange. Through the Discovery Program, the UC Berkeley Division of Computing, Data Science, and Society (CDSS) has built a research incubator that leverages that wide use of data science to enhance student learning opportunities with real-world applications. To increase opportunities for student-led research, CDSS

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