This workshop teaches data organization, reproducible data cleaning, and analysis of tabular data using the programming language R.
Data Carpentries for Social Sciences
Course Description
This workshop teaches management and analysis of tabular data commonly used in social sciences or any research area working with tabular data. This is a hands-on training that covers best practices for data organization in spreadsheets, reproducible data cleaning using the tool OpenRefine, and gives an introduction to data analysis and visualization using the programming language R.
This workshop will cover:
- Organization of tabular data, handling of date formatting, carrying out quality control and quality assurance and exporting data to use with downstream applications.
- Exploration, and reproducibly cleaning of tabular data.
- Import of data, calculating summary statistics, and creation of publication-quality graphics using the programming language R.
This is an introductory course aimed at researchers and PhD candidates who have little to no prior programming experience. However, all participants must bring a laptop or have access to a computer with a Mac, Linux, or Windows operating system (not a tablet, Chromebook, etc.) on which you have administrative privileges.
The location for this Data Carpentry workshop will be at TU Delft - Library - Orange Room!
Study Characteristics
- Language: english
- Academic skill: research
- ECTS: 1
- Available to: PhD students VU | Academic staff VU | All VU employees
- Start date: 14:03:2024
- End date: 15:03:2024
- Graduate school: all
- Discipline: Information Technology
- In class/online: in class
- Min. number of students: 1
- Max. number of students: 9
- Total course duration in hrs.: 16
- Number of lessons: 4
- Anticipated hrs. of study: 2 hours installation + 10 hours self study
- Sign up period: (now) – (29:02:2024)
- Concluding assessment: no
- With certificate: yes, edubadge
- Roster/schedule info:
14.03.2024 (Thursday) 09:00 - 17:00
- Data Organization in Spreadsheets
- Data Cleaning with OpenRefine
- Data Analysis and Visualisation with R
15.03.2024 (Friday), 09:00 - 17:00
- Data Analysis and Visualisation with R
-
Course Description & Study Characteristics
Course Description
This workshop teaches management and analysis of tabular data commonly used in social sciences or any research area working with tabular data. This is a hands-on training that covers best practices for data organization in spreadsheets, reproducible data cleaning using the tool OpenRefine, and gives an introduction to data analysis and visualization using the programming language R.
This workshop will cover:
- Organization of tabular data, handling of date formatting, carrying out quality control and quality assurance and exporting data to use with downstream applications.
- Exploration, and reproducibly cleaning of tabular data.
- Import of data, calculating summary statistics, and creation of publication-quality graphics using the programming language R.
This is an introductory course aimed at researchers and PhD candidates who have little to no prior programming experience. However, all participants must bring a laptop or have access to a computer with a Mac, Linux, or Windows operating system (not a tablet, Chromebook, etc.) on which you have administrative privileges.
The location for this Data Carpentry workshop will be at TU Delft - Library - Orange Room!
Study Characteristics
- Language: english
- Academic skill: research
- ECTS: 1
- Available to: PhD students VU | Academic staff VU | All VU employees
- Start date: 14:03:2024
- End date: 15:03:2024
- Graduate school: all
- Discipline: Information Technology
- In class/online: in class
- Min. number of students: 1
- Max. number of students: 9
- Total course duration in hrs.: 16
- Number of lessons: 4
- Anticipated hrs. of study: 2 hours installation + 10 hours self study
- Sign up period: (now) – (29:02:2024)
- Concluding assessment: no
- With certificate: yes, edubadge
- Roster/schedule info:
14.03.2024 (Thursday) 09:00 - 17:00
- Data Organization in Spreadsheets
- Data Cleaning with OpenRefine
- Data Analysis and Visualisation with R
15.03.2024 (Friday), 09:00 - 17:00
- Data Analysis and Visualisation with R