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Introducing the Data Science Help Desk, a place to ask your general questions about data science including how to download software or code packages, prep for upcoming data science classes, get started with programming, connect with data science expertise, and more. No appointments required, just walk/drop in!
\n\nAt the Data Science Help Desk, we can answer general data science questions and connect you with a wealth of data science resources and expertise. The Help Desk is hosted by graduate student TAs of the Data Science Team twice a week on Tuesdays and Wednesdays from 2-3 pm subject to change to fit the needs of the UCSF community. The Data Science Help Desk is open to the UCSF community including faculty, staff, and trainees.
\n\nWe look forward to meeting you at the Data Science Help Desk!
\n\n\n\n
Access Help Desk: Zoom Link
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Introducing the Data Science Help Desk, a place to ask your general questions about data science including how to download software or code packages, prep for upcoming data science classes, get started with programming, connect with data science expertise, and more. No appointments required, just walk/drop in!
\n\nAt the Data Science Help Desk, we can answer general data science questions and connect you with a wealth of data science resources and expertise. The Help Desk is hosted by graduate student TAs of the Data Science Team twice a week on Tuesdays and Wednesdays from 2-3 pm subject to change to fit the needs of the UCSF community. The Data Science Help Desk is open to the UCSF community including faculty, staff, and trainees.
\n\nWe look forward to meeting you at the Data Science Help Desk!
\n\n\n\n
Access Help Desk: Zoom Link
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Introducing the Data Science Help Desk, a place to ask your general questions about data science including how to download software or code packages, prep for upcoming data science classes, get started with programming, connect with data science expertise, and more. No appointments required, just walk/drop in!
\n\nAt the Data Science Help Desk, we can answer general data science questions and connect you with a wealth of data science resources and expertise. The Help Desk is hosted by graduate student TAs of the Data Science Team twice a week on Tuesdays and Wednesdays from 2-3 pm subject to change to fit the needs of the UCSF community. The Data Science Help Desk is open to the UCSF community including faculty, staff, and trainees.
\n\nWe look forward to meeting you at the Data Science Help Desk!
\n\n\n\n
Access Help Desk: Zoom Link
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Introducing the Data Science Help Desk, a place to ask your general questions about data science including how to download software or code packages, prep for upcoming data science classes, get started with programming, connect with data science expertise, and more. No appointments required, just walk/drop in!
\n\nAt the Data Science Help Desk, we can answer general data science questions and connect you with a wealth of data science resources and expertise. The Help Desk is hosted by graduate student TAs of the Data Science Team twice a week on Tuesdays and Wednesdays from 2-3 pm subject to change to fit the needs of the UCSF community. The Data Science Help Desk is open to the UCSF community including faculty, staff, and trainees.
\n\nWe look forward to meeting you at the Data Science Help Desk!
\n\n\n\n
Access Help Desk: Zoom Link
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About the series
\n\nThis session is the first in a 7-session workshop series on R, A Slower Introduction to R. The series is designed for UCSF researchers who intend to begin using R in their research. The series is intended to be a (relatively) slow-paced introduction to R. It does not assume any prior exposure to R or computer programming.
\n
\nThe series has been designed to help learners approach common data-related tasks, and will draw on data examples from the health sciences (including public health and medicine).
Each session (scheduled for 1.5 hours, but we may finish earlier on occasion) will involve short mini lectures, interspersed with hands-on exercises.
\n\nRegistration for each session is required, using UCSF MyAccess.
\n\nWe plan to host intermediate-level workshops on R in Spring 2025 (dates and details pending).
\n\nAbout the session
\n\nEach session is titled in the form of a "How can I..." question. This first session is titled "How can I do math?" and will cover:
\n\nPlease install R and RStudio prior to attendance. Instructions will be sent out via email prior to the session.
\n\nPlease watch the orientation video prior to attendance. A link will be sent out via email prior to the session.
\n\nAbout the instructor
\n\nThe instructor, Yea-Hung Chen, PhD, MS, has 10 years of experience teaching R to the UCSF community. He designed and taught UCSF's first-ever R course (Biostat 213) and taught the introductory biostatistics course for UCSF's MS in Global Health program (GHS 207).
\n\nAccessibility statement
\n\nSlides will be available on the Course Learning Environment at least 24 hours prior to each session. Learners are welcome to use recording or closed-captioning features embedded in the Zoom platform. To request reasonable accommodation for this session, please email the instructor (yea-hung.chen@ucsf.edu) as soon as possible.
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\n\n
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Introducing the Data Science Help Desk, a place to ask your general questions about data science including how to download software or code packages, prep for upcoming data science classes, get started with programming, connect with data science expertise, and more. No appointments required, just walk/drop in!
\n\nAt the Data Science Help Desk, we can answer general data science questions and connect you with a wealth of data science resources and expertise. The Help Desk is hosted by graduate student TAs of the Data Science Team twice a week on Tuesdays and Wednesdays from 2-3 pm subject to change to fit the needs of the UCSF community. The Data Science Help Desk is open to the UCSF community including faculty, staff, and trainees.
\n\nWe look forward to meeting you at the Data Science Help Desk!
\n\n\n\n
Access Help Desk: Zoom Link
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Introducing the Data Science Help Desk, a place to ask your general questions about data science including how to download software or code packages, prep for upcoming data science classes, get started with programming, connect with data science expertise, and more. No appointments required, just walk/drop in!
\n\nAt the Data Science Help Desk, we can answer general data science questions and connect you with a wealth of data science resources and expertise. The Help Desk is hosted by graduate student TAs of the Data Science Team twice a week on Tuesdays and Wednesdays from 2-3 pm subject to change to fit the needs of the UCSF community. The Data Science Help Desk is open to the UCSF community including faculty, staff, and trainees.
\n\nWe look forward to meeting you at the Data Science Help Desk!
\n\n\n\n
Access Help Desk: Zoom Link
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\n\nAt the Data Science Help Desk, we can answer general data science questions and connect you with a wealth of data science resources and expertise. The Help Desk is hosted by graduate student TAs of the Data Science Team twice a week on Tuesdays and Wednesdays from 2-3 pm subject to change to fit the needs of the UCSF community. The Data Science Help Desk is open to the UCSF community including faculty, staff, and trainees.
\n\nWe look forward to meeting you at the Data Science Help Desk!
\n\n\n\n
Access Help Desk: Zoom Link
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\n\nAt the Data Science Help Desk, we can answer general data science questions and connect you with a wealth of data science resources and expertise. The Help Desk is hosted by graduate student TAs of the Data Science Team twice a week on Tuesdays and Wednesdays from 2-3 pm subject to change to fit the needs of the UCSF community. The Data Science Help Desk is open to the UCSF community including faculty, staff, and trainees.
\n\nWe look forward to meeting you at the Data Science Help Desk!
\n\n\n\n
Access Help Desk: Zoom Link
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\n\nAt the Data Science Help Desk, we can answer general data science questions and connect you with a wealth of data science resources and expertise. The Help Desk is hosted by graduate student TAs of the Data Science Team twice a week on Tuesdays and Wednesdays from 2-3 pm subject to change to fit the needs of the UCSF community. The Data Science Help Desk is open to the UCSF community including faculty, staff, and trainees.
\n\nWe look forward to meeting you at the Data Science Help Desk!
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Access Help Desk: Zoom Link
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\n\nAt the Data Science Help Desk, we can answer general data science questions and connect you with a wealth of data science resources and expertise. The Help Desk is hosted by graduate student TAs of the Data Science Team twice a week on Tuesdays and Wednesdays from 2-3 pm subject to change to fit the needs of the UCSF community. The Data Science Help Desk is open to the UCSF community including faculty, staff, and trainees.
\n\nWe look forward to meeting you at the Data Science Help Desk!
\n\n\n\n
Access Help Desk: Zoom Link
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![\"makers](\"//s3.amazonaws.com/libapps/accounts/17525/images/MakersLabLogo-web.png\")
Calling all fans of knitting, crochet, cross-stitch, sewing, and embroidery!
\n\nThis virtual meet-up is a chance for beginning and experienced UCSF crafters to come together and work on their projects in a fun and relaxed atmosphere. We hang, we chat, we work on fabulous projects, and share advice and inspiration. Join us!
\n\n\n\n
\n\n
\n\n
\n\n
Register below to receive the Zoom link and password. See all upcoming Needlecraft Meet-Ups to save your seat today!
\n\nAll Makers Lab pop-ups are open to the UCSF community. If you are a DPH employee, UCSF alum or retiree, please contact the Makers Lab to register for this pop-up.
\n\nPhoto from meetup host and UCSF staff member Ariel
\n\nHave questions about the Makers Lab? Visit the Makers Lab webpage or contact us. The Makers Lab is open by appointment for UCSF teaching, learning, and research projects. Contact the Makers Lab to schedule an appointment.
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Access Help Desk: Zoom Link
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Access Help Desk: Zoom Link
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Access Help Desk: Zoom Link
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Access Help Desk: Zoom Link
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Access Help Desk: Zoom Link
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Access Help Desk: Zoom Link
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Access Help Desk: Zoom Link
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Access Help Desk: Zoom Link
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Access Help Desk: Zoom Link
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\n\nAt the Data Science Help Desk, we can answer general data science questions and connect you with a wealth of data science resources and expertise. The Help Desk is hosted by graduate student TAs of the Data Science Team twice a week on Tuesdays and Wednesdays from 2-3 pm subject to change to fit the needs of the UCSF community. The Data Science Help Desk is open to the UCSF community including faculty, staff, and trainees.
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Access Help Desk: Zoom Link
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\n\nAt the Data Science Help Desk, we can answer general data science questions and connect you with a wealth of data science resources and expertise. The Help Desk is hosted by graduate student TAs of the Data Science Team twice a week on Tuesdays and Wednesdays from 2-3 pm subject to change to fit the needs of the UCSF community. The Data Science Help Desk is open to the UCSF community including faculty, staff, and trainees.
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Access Help Desk: Zoom Link
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About the series
\n\nThis is the first of a seven-part workshop series, A Slower Introduction to R. The series is designed for UCSF researchers who intend to begin using R in their research. The series is intended to be a (relatively) slow-paced introduction to R. It does not assume any prior exposure to R or computer programming. The series has been designed to help learners approach common data-related tasks, and will draw on data examples from the health sciences (including public health and medicine).
\n\nEach session (scheduled for 1.5 hours, but we may finish earlier on occasion) will involve short mini lectures, interspersed with hands-on exercises.
\n\nRegistration for each session requires UCSF MyAccess credentials.
\n\nWe plan to host intermediate-level workshops on R in Spring 2025 (dates and details pending).
\n\nAbout the session
\n\nEach session is titled in the form of a "How can I..." question. This first session is titled "How can I do math?" and will cover:
\n\nPlease install R and RStudio prior to attendance. Instructions will be sent out via email prior to the session.
\n\nPlease watch the orientation video prior to attendance. A link will be sent out via email prior to the session.
\n\nAbout the instructor
\n\nThe instructor, Yea-Hung Chen, PhD, MS, has 10 years of experience teaching R to the UCSF community. He designed and taught UCSF's first-ever R course (Biostat 213) and taught the introductory biostatistics course for UCSF's MS in Global Health program (GHS 207).
\n\nAccessibility statement
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\n\nAt the Data Science Help Desk, we can answer general data science questions and connect you with a wealth of data science resources and expertise. The Help Desk is hosted by graduate student TAs of the Data Science Team twice a week on Tuesdays and Wednesdays from 2-3 pm subject to change to fit the needs of the UCSF community. The Data Science Help Desk is open to the UCSF community including faculty, staff, and trainees.
\n\nWe look forward to meeting you at the Data Science Help Desk!
\n\n\n\n
Access Help Desk: Zoom Link
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\n\nAt the Data Science Help Desk, we can answer general data science questions and connect you with a wealth of data science resources and expertise. The Help Desk is hosted by graduate student TAs of the Data Science Team twice a week on Tuesdays and Wednesdays from 2-3 pm subject to change to fit the needs of the UCSF community. The Data Science Help Desk is open to the UCSF community including faculty, staff, and trainees.
\n\nWe look forward to meeting you at the Data Science Help Desk!
\n\n\n\n
Access Help Desk: Zoom Link
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About the series
\n\nThis is the second of a seven-part workshop series, A Slower Introduction to R. The series is designed for UCSF researchers who intend to begin using R in their research. The series is intended to be a (relatively) slow-paced introduction to R. It does not assume any prior exposure to R or computer programming. The series has been designed to help learners approach common data-related tasks, and will draw on data examples from the health sciences (including public health and medicine).
\n\nEach session (scheduled for 1.5 hours, but we may finish earlier on occasion) will involve short mini lectures, interspersed with hands-on exercises.
\n\nRegistration for each session requires UCSF MyAccess credentials.
\n\nWe plan to host intermediate-level workshops on R in Spring 2025 (dates and details pending).
\n\nAbout the session
\n\nEach session is titled in the form of a "How can I..." question. This second session is titled "How can I load data?" and will cover:
\n\nParticipants are strongly encouraged to attend the prior session or familiarze themselves with that session's content (slides and exercises).
\n\nAbout the instructor
\n\nThe instructor, Yea-Hung Chen, PhD, MS, has 10 years of experience teaching R to the UCSF community. He designed and taught UCSF's first-ever R course (Biostat 213) and taught the introductory biostatistics course for UCSF's MS in Global Health program (GHS 207).
\n\nAccessibility statement
\n\nSlides will be available on the Course Learning Environment at least 24 hours prior to each session. Learners are welcome to use recording or closed-captioning features embedded in the Zoom platform. To request reasonable accommodation for this session, please email the instructor (yea-hung.chen@ucsf.edu) as soon as possible.
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\n\nWe look forward to meeting you at the Data Science Help Desk!
\n\n\n\n
Access Help Desk: Zoom Link
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\n\nAt the Data Science Help Desk, we can answer general data science questions and connect you with a wealth of data science resources and expertise. The Help Desk is hosted by graduate student TAs of the Data Science Team twice a week on Tuesdays and Wednesdays from 2-3 pm subject to change to fit the needs of the UCSF community. The Data Science Help Desk is open to the UCSF community including faculty, staff, and trainees.
\n\nWe look forward to meeting you at the Data Science Help Desk!
\n\n\n\n
Access Help Desk: Zoom Link
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About the series
\n\nThis is the third of a seven-part workshop series, A Slower Introduction to R. The series is designed for UCSF researchers who intend to begin using R in their research. The series is intended to be a (relatively) slow-paced introduction to R. It does not assume any prior exposure to R or computer programming. The series has been designed to help learners approach common data-related tasks, and will draw on data examples from the health sciences (including public health and medicine).
\n\nEach session (scheduled for 1.5 hours, but we may finish earlier on occasion) will involve short mini lectures, interspersed with hands-on exercises.
\n\nRegistration for each session requires UCSF MyAccess credentials.
\n\nWe plan to host intermediate-level workshops on R in Spring 2025 (dates and details pending).
\n\nAbout the session
\n\nEach session is titled in the form of a "How can I..." question. This second session is titled "How can I do univariate analysis?" and will cover:
\n\nParticipants are strongly encouraged to attend the prior session or familiarze themselves with that session's content (slides and exercises).
\n\nAbout the instructor
\n\nThe instructor, Yea-Hung Chen, PhD, MS, has 10 years of experience teaching R to the UCSF community. He designed and taught UCSF's first-ever R course (Biostat 213) and taught the introductory biostatistics course for UCSF's MS in Global Health program (GHS 207).
\n\nAccessibility statement
\n\nSlides will be available on the Course Learning Environment at least 24 hours prior to each session. Learners are welcome to use recording or closed-captioning features embedded in the Zoom platform. To request reasonable accommodation for this session, please email the instructor (yea-hung.chen@ucsf.edu) as soon as possible.
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\n\nAt the Data Science Help Desk, we can answer general data science questions and connect you with a wealth of data science resources and expertise. The Help Desk is hosted by graduate student TAs of the Data Science Team twice a week on Tuesdays and Wednesdays from 2-3 pm subject to change to fit the needs of the UCSF community. The Data Science Help Desk is open to the UCSF community including faculty, staff, and trainees.
\n\nWe look forward to meeting you at the Data Science Help Desk!
\n\n\n\n
Access Help Desk: Zoom Link
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Introducing the Data Science Help Desk, a place to ask your general questions about data science including how to download software or code packages, prep for upcoming data science classes, get started with programming, connect with data science expertise, and more. No appointments required, just walk/drop in!
\n\nAt the Data Science Help Desk, we can answer general data science questions and connect you with a wealth of data science resources and expertise. The Help Desk is hosted by graduate student TAs of the Data Science Team twice a week on Tuesdays and Wednesdays from 2-3 pm subject to change to fit the needs of the UCSF community. The Data Science Help Desk is open to the UCSF community including faculty, staff, and trainees.
\n\nWe look forward to meeting you at the Data Science Help Desk!
\n\n\n\n
Access Help Desk: Zoom Link
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About the series
\n\nThis is the fourth of a seven-part workshop series, A Slower Introduction to R. The series is designed for UCSF researchers who intend to begin using R in their research. The series is intended to be a (relatively) slow-paced introduction to R. It does not assume any prior exposure to R or computer programming. The series has been designed to help learners approach common data-related tasks, and will draw on data examples from the health sciences (including public health and medicine).
\n\nEach session (scheduled for 1.5 hours, but we may finish earlier on occasion) will involve short mini lectures, interspersed with hands-on exercises.
\n\nRegistration for each session requires UCSF MyAccess credentials.
\n\nWe plan to host intermediate-level workshops on R in Spring 2025 (dates and details pending).
\n\nAbout the session
\n\nEach session is titled in the form of a "How can I..." question. This second session is titled "How can I perform bivariate analysis?" and will cover:
\n\nParticipants are strongly encouraged to attend the prior session or familiarze themselves with that session's content (slides and exercises).
\n\nAbout the instructor
\n\nThe instructor, Yea-Hung Chen, PhD, MS, has 10 years of experience teaching R to the UCSF community. He designed and taught UCSF's first-ever R course (Biostat 213) and taught the introductory biostatistics course for UCSF's MS in Global Health program (GHS 207).
\n\nAccessibility statement
\n\nSlides will be available on the Course Learning Environment at least 24 hours prior to each session. Learners are welcome to use recording or closed-captioning features embedded in the Zoom platform. To request reasonable accommodation for this session, please email the instructor (yea-hung.chen@ucsf.edu) as soon as possible.
","url":{"public":"https://calendars.library.ucsf.edu/event/13981391","admin":"https://calendars.library.ucsf.edu/aevent.php?c=928&m=edit&event_id=13981391"},"location":"","campus":"Online","category":[{"id":27094,"name":"Data Science"}],"owner":{"id":141632,"name":"Yea-Hung Chen"},"presenter":"Yea-Hung Chen","calendar":{"id":928,"name":"Library Events and Classes","public":"https://calendars.library.ucsf.edu/calendar/events","admin":"https://calendars.library.ucsf.edu/admin/calendar/928"},"seats":50,"registration":true,"registration_form_id":0,"registration_series_linked":false,"has_registration_opened":true,"has_registration_closed":false,"physical_seats":0,"physical_seats_taken":0,"online_seats":50,"online_seats_taken":0,"seats_taken":0,"wait_list":true,"color":"#058488","featured_image":"https://d68g328n4ug0e.cloudfront.net/data/feat_img/138/928/1734998214.png","geolocation":null,"future_dates":[],"registration_cost":0,"more_info":"","setup_time":0,"teardown_time":0,"online_user_id":0,"zoom_email":"","online_meeting_id":"","online_host_url":"","online_join_url":"https://ucsf.zoom.us/j/94716001154?pwd=HrOWgZ4RTVGWt2Eg0PUzPRx7YWqhxx.1","online_join_password":"","online_provider":"external"},{"id":13941822,"title":"Needlecraft Monthly Meet-Up","allday":false,"start":"2025-02-14T12:00:00-08:00","end":"2025-02-14T13:00:00-08:00","description":"
Calling all fans of knitting, crochet, cross-stitch, sewing, and embroidery!
\n\nThis virtual meet-up is a chance for beginning and experienced UCSF crafters to come together and work on their projects in a fun and relaxed atmosphere. We hang, we chat, we work on fabulous projects, and share advice and inspiration. Join us!
\n\n\n\n
\n\n
\n\n
\n\n
Register below to receive the Zoom link and password. See all upcoming Needlecraft Meet-Ups to save your seat today!
\n\nAll Makers Lab pop-ups are open to the UCSF community. If you are a DPH employee, UCSF alum or retiree, please contact the Makers Lab to register for this pop-up.
\n\nPhoto from meetup host and UCSF staff member Ariel
\n\nHave questions about the Makers Lab? Visit the Makers Lab webpage or contact us. The Makers Lab is open by appointment for UCSF teaching, learning, and research projects. Contact the Makers Lab to schedule an appointment.
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\n\nAt the Data Science Help Desk, we can answer general data science questions and connect you with a wealth of data science resources and expertise. The Help Desk is hosted by graduate student TAs of the Data Science Team twice a week on Tuesdays and Wednesdays from 2-3 pm subject to change to fit the needs of the UCSF community. The Data Science Help Desk is open to the UCSF community including faculty, staff, and trainees.
\n\nWe look forward to meeting you at the Data Science Help Desk!
\n\n\n\n
Access Help Desk: Zoom Link
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Introducing the Data Science Help Desk, a place to ask your general questions about data science including how to download software or code packages, prep for upcoming data science classes, get started with programming, connect with data science expertise, and more. No appointments required, just walk/drop in!
\n\nAt the Data Science Help Desk, we can answer general data science questions and connect you with a wealth of data science resources and expertise. The Help Desk is hosted by graduate student TAs of the Data Science Team twice a week on Tuesdays and Wednesdays from 2-3 pm subject to change to fit the needs of the UCSF community. The Data Science Help Desk is open to the UCSF community including faculty, staff, and trainees.
\n\nWe look forward to meeting you at the Data Science Help Desk!
\n\n\n\n
Access Help Desk: Zoom Link
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About the series
\n\nThis is the fifth of a seven-part workshop series, A Slower Introduction to R. The series is designed for UCSF researchers who intend to begin using R in their research. The series is intended to be a (relatively) slow-paced introduction to R. It does not assume any prior exposure to R or computer programming. The series has been designed to help learners approach common data-related tasks, and will draw on data examples from the health sciences (including public health and medicine).
\n\nEach session (scheduled for 1.5 hours, but we may finish earlier on occasion) will involve short mini lectures, interspersed with hands-on exercises.
\n\nRegistration for each session requires UCSF MyAccess credentials.
\n\nWe plan to host intermediate-level workshops on R in Spring 2025 (dates and details pending).
\n\nAbout the session
\n\nEach session is titled in the form of a "How can I..." question. This second session is titled "How can I make data visualizations with ggplot2?" and will cover:
\n\nParticipants are strongly encouraged to attend the prior session or familiarze themselves with that session's content (slides and exercises).
\n\nAbout the instructor
\n\nThe instructor, Yea-Hung Chen, PhD, MS, has 10 years of experience teaching R to the UCSF community. He designed and taught UCSF's first-ever R course (Biostat 213) and taught the introductory biostatistics course for UCSF's MS in Global Health program (GHS 207).
\n\nAccessibility statement
\n\nSlides will be available on the Course Learning Environment at least 24 hours prior to each session. Learners are welcome to use recording or closed-captioning features embedded in the Zoom platform. To request reasonable accommodation for this session, please email the instructor (yea-hung.chen@ucsf.edu) as soon as possible.
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Introducing the Data Science Help Desk, a place to ask your general questions about data science including how to download software or code packages, prep for upcoming data science classes, get started with programming, connect with data science expertise, and more. No appointments required, just walk/drop in!
\n\nAt the Data Science Help Desk, we can answer general data science questions and connect you with a wealth of data science resources and expertise. The Help Desk is hosted by graduate student TAs of the Data Science Team twice a week on Tuesdays and Wednesdays from 2-3 pm subject to change to fit the needs of the UCSF community. The Data Science Help Desk is open to the UCSF community including faculty, staff, and trainees.
\n\nWe look forward to meeting you at the Data Science Help Desk!
\n\n\n\n
Access Help Desk: Zoom Link
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Introducing the Data Science Help Desk, a place to ask your general questions about data science including how to download software or code packages, prep for upcoming data science classes, get started with programming, connect with data science expertise, and more. No appointments required, just walk/drop in!
\n\nAt the Data Science Help Desk, we can answer general data science questions and connect you with a wealth of data science resources and expertise. The Help Desk is hosted by graduate student TAs of the Data Science Team twice a week on Tuesdays and Wednesdays from 2-3 pm subject to change to fit the needs of the UCSF community. The Data Science Help Desk is open to the UCSF community including faculty, staff, and trainees.
\n\nWe look forward to meeting you at the Data Science Help Desk!
\n\n\n\n
Access Help Desk: Zoom Link
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About the series
\n\nThis is the sixth of a seven-part workshop series, A Slower Introduction to R. The series is designed for UCSF researchers who intend to begin using R in their research. The series is intended to be a (relatively) slow-paced introduction to R. It does not assume any prior exposure to R or computer programming. The series has been designed to help learners approach common data-related tasks, and will draw on data examples from the health sciences (including public health and medicine).
\n\nEach session (scheduled for 1.5 hours, but we may finish earlier on occasion) will involve short mini lectures, interspersed with hands-on exercises.
\n\nRegistration for each session requires UCSF MyAccess credentials.
\n\nWe plan to host intermediate-level workshops on R in Spring 2025 (dates and details pending).
\n\nAbout the session
\n\nEach session is titled in the form of a "How can I..." question. This second session is titled "How can I assign missing values or define dates?" and will cover:
\n\nParticipants are strongly encouraged to attend the prior session or familiarze themselves with that session's content (slides and exercises).
\n\nAbout the instructor
\n\nThe instructor, Yea-Hung Chen, PhD, MS, has 10 years of experience teaching R to the UCSF community. He designed and taught UCSF's first-ever R course (Biostat 213) and taught the introductory biostatistics course for UCSF's MS in Global Health program (GHS 207).
\n\nAccessibility statement
\n\nSlides will be available on the Course Learning Environment at least 24 hours prior to each session. Learners are welcome to use recording or closed-captioning features embedded in the Zoom platform. To request reasonable accommodation for this session, please email the instructor (yea-hung.chen@ucsf.edu) as soon as possible.
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\n\nAt the Data Science Help Desk, we can answer general data science questions and connect you with a wealth of data science resources and expertise. The Help Desk is hosted by graduate student TAs of the Data Science Team twice a week on Tuesdays and Wednesdays from 2-3 pm subject to change to fit the needs of the UCSF community. The Data Science Help Desk is open to the UCSF community including faculty, staff, and trainees.
\n\nWe look forward to meeting you at the Data Science Help Desk!
\n\n\n\n
Access Help Desk: Zoom Link
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Introducing the Data Science Help Desk, a place to ask your general questions about data science including how to download software or code packages, prep for upcoming data science classes, get started with programming, connect with data science expertise, and more. No appointments required, just walk/drop in!
\n\nAt the Data Science Help Desk, we can answer general data science questions and connect you with a wealth of data science resources and expertise. The Help Desk is hosted by graduate student TAs of the Data Science Team twice a week on Tuesdays and Wednesdays from 2-3 pm subject to change to fit the needs of the UCSF community. The Data Science Help Desk is open to the UCSF community including faculty, staff, and trainees.
\n\nWe look forward to meeting you at the Data Science Help Desk!
\n\n\n\n
Access Help Desk: Zoom Link
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About the series
\n\nThis is the final workshop of a seven-part series, A Slower Introduction to R. The series is designed for UCSF researchers who intend to begin using R in their research. The series is intended to be a (relatively) slow-paced introduction to R. It does not assume any prior exposure to R or computer programming. The series has been designed to help learners approach common data-related tasks, and will draw on data examples from the health sciences (including public health and medicine).
\n\nEach session (scheduled for 1.5 hours, but we may finish earlier on occasion) will involve short mini lectures, interspersed with hands-on exercises.
\n\nRegistration for each session requires UCSF MyAccess credentials.
\n\nWe plan to host intermediate-level workshops on R in Spring 2025 (dates and details pending).
\n\nAbout the session
\n\nEach session is titled in the form of a "How can I..." question. This second session is titled "How can I create new categorical variables?" and will cover:
\n\nParticipants are strongly encouraged to attend the prior session or familiarze themselves with that session's content (slides and exercises).
\n\nAbout the instructor
\n\nThe instructor, Yea-Hung Chen, PhD, MS, has 10 years of experience teaching R to the UCSF community. He designed and taught UCSF's first-ever R course (Biostat 213) and taught the introductory biostatistics course for UCSF's MS in Global Health program (GHS 207).
\n\nAccessibility statement
\n\nSlides will be available on the Course Learning Environment at least 24 hours prior to each session. Learners are welcome to use recording or closed-captioning features embedded in the Zoom platform. To request reasonable accommodation for this session, please email the instructor (yea-hung.chen@ucsf.edu) as soon as possible.
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\n\nWe look forward to meeting you at the Data Science Help Desk!
\n\n\n\n
Access Help Desk: Zoom Link
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\n\nAt the Data Science Help Desk, we can answer general data science questions and connect you with a wealth of data science resources and expertise. The Help Desk is hosted by graduate student TAs of the Data Science Team twice a week on Tuesdays and Wednesdays from 2-3 pm subject to change to fit the needs of the UCSF community. The Data Science Help Desk is open to the UCSF community including faculty, staff, and trainees.
\n\nWe look forward to meeting you at the Data Science Help Desk!
\n\n\n\n
Access Help Desk: Zoom Link
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\n\nAt the Data Science Help Desk, we can answer general data science questions and connect you with a wealth of data science resources and expertise. The Help Desk is hosted by graduate student TAs of the Data Science Team twice a week on Tuesdays and Wednesdays from 2-3 pm subject to change to fit the needs of the UCSF community. The Data Science Help Desk is open to the UCSF community including faculty, staff, and trainees.
\n\nWe look forward to meeting you at the Data Science Help Desk!
\n\n\n\n
Access Help Desk: Zoom Link
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\n\nAt the Data Science Help Desk, we can answer general data science questions and connect you with a wealth of data science resources and expertise. The Help Desk is hosted by graduate student TAs of the Data Science Team twice a week on Tuesdays and Wednesdays from 2-3 pm subject to change to fit the needs of the UCSF community. The Data Science Help Desk is open to the UCSF community including faculty, staff, and trainees.
\n\nWe look forward to meeting you at the Data Science Help Desk!
\n\n\n\n
Access Help Desk: Zoom Link
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\n\nAt the Data Science Help Desk, we can answer general data science questions and connect you with a wealth of data science resources and expertise. The Help Desk is hosted by graduate student TAs of the Data Science Team twice a week on Tuesdays and Wednesdays from 2-3 pm subject to change to fit the needs of the UCSF community. The Data Science Help Desk is open to the UCSF community including faculty, staff, and trainees.
\n\nWe look forward to meeting you at the Data Science Help Desk!
\n\n\n\n
Access Help Desk: Zoom Link
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\n\nAt the Data Science Help Desk, we can answer general data science questions and connect you with a wealth of data science resources and expertise. The Help Desk is hosted by graduate student TAs of the Data Science Team twice a week on Tuesdays and Wednesdays from 2-3 pm subject to change to fit the needs of the UCSF community. The Data Science Help Desk is open to the UCSF community including faculty, staff, and trainees.
\n\nWe look forward to meeting you at the Data Science Help Desk!
\n\n\n\n
Access Help Desk: Zoom Link
\n\n","url":{"public":"https://calendars.library.ucsf.edu/event/13926391","admin":"https://calendars.library.ucsf.edu/aevent.php?c=928&m=edit&event_id=13926391"},"location":"","campus":"Mission Bay","category":[{"id":27094,"name":"Data Science"},{"id":57369,"name":"Data Science > Help Desk"},{"id":46333,"name":"Data Science > Programming"}],"owner":{"id":91455,"name":"Fred Jiang"},"presenter":"Fred Jiang & Marlene Lin","calendar":{"id":928,"name":"Library Events and Classes","public":"https://calendars.library.ucsf.edu/calendar/events","admin":"https://calendars.library.ucsf.edu/admin/calendar/928"},"seats":"","registration":false,"color":"#058488","featured_image":"https://libapps.s3.amazonaws.com/accounts/128689/images/LibraryNavyBox.png","geolocation":null,"future_dates":[],"registration_cost":0,"more_info":"","setup_time":0,"teardown_time":0,"online_user_id":0,"zoom_email":"","online_meeting_id":"","online_host_url":"","online_join_url":"https://ucsf.zoom.us/j/98677502980?pwd=dmRzMkpNTmdPdEtBZmg1SVNLU0tXUT09","online_join_password":"","online_provider":"external"}] \ No newline at end of file diff --git a/docs/sample.html b/docs/sample.html index bf2098f..7e0a265 100644 --- a/docs/sample.html +++ b/docs/sample.html @@ -12,26 +12,31 @@ Streamlining Assessment Creation with Generative AI: A Game-Changer for UCSF Faculty