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Statistical Computing Part 2
November 14, 2019 @ 12:00 pm
-
1:00 pm
PST
Instructor: Mike Tzen
Using a very common data analysis scenario of “Group-(Split)-Apply-Combine”, we’ll show you how to make the most of cutting edge powerful hardware in both Hoffman2 and TS2.
RSVP signup via
https://forms.gle/i9fXG2Dcbw8L5AG38
slides
rscript
Details
Date:
November 14, 2019
Time:
12:00 pm - 1:00 pm
PST
Event Category:
CCPR Workshop
Event Tags:
workshop-datascience
,
workshop-demog
,
workshop-genprog
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Details
Date:
November 14, 2019
Time:
12:00 pm - 1:00 pm
PST
Event Category:
CCPR Workshop
Event Tags:
workshop-datascience
,
workshop-demog
,
workshop-genprog
CEGA-EASST Scholars from East Africa
CEGA-EASST & BRAC Fellow Seminar
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UCLA CCPR
About
What is CCPR?
Director’s Statement
CCPR Testimonials
Advisory Committees
Bylaws
People
Faculty Fellows
Faculty Affiliates
Student Affiliates
Staff
Postdocs
Visitors and External Affiliates
Alumni
Become an affiliate
Research
Demography of Family, Household, and Individual Well-Being
Featured Books
Migration and Immigration
Inequality and Health Disparities
Innovative Data Projects
Fertility and Reproductive Health
News
CCPR News
Announcements
Newsletters
Submit News
Media Contacts at UCLA
Events
Calendar
Current Seminars
Past Seminars
Local Seminars
Current Workshops
Past Workshops
Conferences
Services
Administrative
Computing
Statistics and Methods
Data
Funding
Donald J. Treiman Research Fellowship
Seed Grant Program
Course Release Program
External Sources
Funding Opportunities
Other Funding Opportunities
NIH Information
NSF Information
Working Papers
Training
CCPR Certificate in Training in Demography and Population Studies
Doctoral Programs in CHS and Sociology for students specializing in Demography
Predoctoral Training at CCPR
CCPR Demography Curriculum
NICHD Predoctoral Training Program (5T32HD007545)
Trainee FAQs
Bixby Training Program
Grant Writing Workshop Series
Acknowledge CCPR
Acknowledging CCPR in Publications
CCPR Presentation, Poster, and Zoom Templates
Complying with NIH Public Access Policy