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Harvard DataFest 2017
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#1
Quantitative Data Concepts
#2
Projects & Workflows: Introduction, Concepts, and Setting up your Data Toolbox
#3
The Data Lifecycle and the DataFest Map
#4
Where Does Data Come From: How Survey Researchers Define, Create, and Measure Things Around Us
#5
Data Concepts Panel
#6
Geospatial Data Concepts
#7
Lunch
#8
Coffee Break
#9
Versioning your Data and Scripts (Hands-on)
#10
Coffee break
#11
Tools for Reproducible Data Science (Hands-on)
#12
Coffee break
#13
Panel Discussion and Wrap-Up
#14
Continental Breakfast
#15
Finding, Accessing, Documenting: Social Science Data
#16
Finding, Accessing, Documenting: Biomedical Data
#17
Reception
#18
Understanding and Evaluating Survey Data Documentation: A User's Guide
#19
Computing Help Desk
#20
Archive-a-thon signup
#21
Archive-a-thon signup
#22
Cleaning up messy data (Hands-on)
#23
Handling Big Data: filesystems and transfers
#24
Visualization and Reporting Overview (roundtable)
#25
Multiple Approaches to Combining Data (Hands-on)
#26
Lunch
#27
Introduction to Web Scraping and Web APIs (Hands-on)
#28
Coffee Break
#29
Coffee Break
#30
Survey Research: A Critical Overview for Data Users
#31
Text Analysis with Python (Hands-on)
#32
Flexdashboard and Shiny for R (Hands-on)
#33
Data Interactives with D3js (Hands-on)
#34
Discovering spatial data and mapping with WorldMap (Hands-on)
#35
Disseminating and publishing research data using Dataverse (Hands-on)
#36
Continental Breakfast
#37
Data Interactives with Tableau (Hands-on)
#38
Geospatial Data Processing and Analysis with QGIS (Hands-on)
#39
Computing Help Desk
#40
Archive-a-thon signup
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