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1. Introduction to Python for Social Scientists (1:11:23)

Date:
2019-11-01 (Creation date: 2019-11-01)
Main contributors:
Marahrens, Helge-Johannes
Summary:
Python has become the lead instrument for data scientists to collect, clean, and analyze data. As a general purpose programming language, Python is flexible and well-suited to handle large datasets...

2. Introduction to Text Mining for Social Scientists (1:41:25)

Date:
2019-02-15 (Creation date: 2019-02-15)
Main contributors:
Marahrens, Helge-Johannes
Summary:
Textual data are central to the social sciences. However, they often require several pre-processing steps before they can be utilized for statistical analyses. This workshop introduces a range of P...

3. Introduction to APIs for Social Scientists (1:27:41)

Date:
2019-02-01
Main contributors:
Marahrens, Helge-Johannes
Summary:
In recent years, social scientists have increased their efforts to access new datasets from the web or from large databases. An easy way to access such data are Application Programming Interfaces (...

4. Introduction to Python for Social Scientists (1:51:39)

Date:
2018-11-09 (Creation date: 2018-11-09)
Main contributors:
Marahrens, Helge-Johannes
Summary:
Python has become the lead instrument for data scientists to collect, clean, and analyze data. As a general purpose programming language, Python is flexible and well-suited to handle large datasets...