caldiss data science activities spring 2019...webscraping for the social sciences apr 29 intro til...

CALDISS Data Science Activities Spring 2019 FEB 18 & 25 Intro til STATA (danish) FEB 19-20 Intro to R for social science FEB 26-27 Intro to python for social science MAR 4 & 11 Intro til registerdata (danish) MAR 5-6 Working with table data in R MAR 12-13 Working with table data in python MAR 19-20 Exploratory data analysis in python MAR 26-27 Exploratory data analysis in R APR 4 Seminar: AI & samfundsvidenskab (danish) APR 9-10 Webscraping for the social sciences APR 29 Intro til STATA (danish) APR 30 Text mining with R MAY 7-8 Intro to machine learning MAY 13 & 20 Intro til registerdata (danish) MAY 14-15 Text mining with python MAY 28-29 Intro to network analysis The Computational Analytics Laboratory for Digital Social Science (CALDISS) is a physical laboratory and a research development environment for the Faculty of Social Sciences at AAU. The purpose of CALDISS is to address and explore new possibilities within digital and computational social science and help social scientists realise the potentials in digital data collection, ‘Big Data’ for social science, digital methods and machine learning algorithms. Read more and sign up at: caldiss.aau.dk

Upload: others

Post on 13-Oct-2020

4 views

Category:

Documents

0 download

Report

Download

Embed Size (px):

TRANSCRIPT

CALDISS Data Science ActivitiesSpring 2019

FEB18 & 25

Intro til STATA (danish)

FEB19-20

Intro to R for social science

FEB26-27

Intro to python for social science

MAR4 & 11

Intro til registerdata (danish)

MAR5-6

Working with table data in R

MAR12-13

Working with table data in python

MAR19-20

Exploratory data analysis in python

MAR26-27

Exploratory data analysis in R

APR4

Seminar: AI & samfundsvidenskab (danish)

APR9-10

Webscraping for the social sciences

APR29

Intro til STATA (danish)

APR30

Text mining with R

MAY7-8

Intro to machine learning

MAY13 & 20

Intro til registerdata (danish)

MAY14-15

Text mining with python

MAY28-29

Intro to network analysis

The Computational Analytics Laboratory for Digital Social Science (CALDISS) is a physical laboratory and a research development environment for the Faculty of Social Sciences at AAU. The purpose of CALDISS is to address and explore new

possibilities within digital and computational social science and help social scientists realise the potentials in digital data collection, ‘Big Data’ for social science, digital methods and machine learning algorithms.