Data Science Summer School: A series of one-day workshops on data science methods and applications
The Data Science Summer School is a series of theoretical and practical workshops on the exciting methods and technologies currently employed by industry, government, and civil society to address the world's most complex problems.
Data Science Summer School will provide the following benefits for participants:
- Single day (4-hour) workshops covering theory and application;
- Instruction from professors, researchers, and industry experts;
- Networking opportunities with other Summer School participants;
- Certificate of Attendance, stating the workshops and the number of hours completed;
- And best of all, attendance is fully sponsored;
The Data Science Summer School is organized by the Hertie School Data Science Lab with the support of the SCRIPTS Cluster of Excellence and the Stifterverband für die Deutsche Wissenschaft.
The registration is closed. Workshops will be available on the website of the Data Science Summer School.
Schedule:
09/07/2021, 10:00 AM - 02:15 PM: Introduction to R Programming
13/07/2021, 10:00 AM - 02:15 PM: Text as Data: Quantitative Text Analysis With R
14/07/2021, 09:00 AM - 01:15 PM: Modern Survey Methods:MrP and MrsP
15/07/2021, 10:00 AM - 02:15 PM: Data Visualization with R
16/07/2021, 10:00 AM - 02:15 PM: Introduction to Python Programming
19/07/2021, 10:00 AM - 02:15 PM: Image as Data: Quantitative Image Analysis With R and Python
20/07/2021, 04:00 PM - 08:15 PM: Data Access: Web Scraping with R
21/07/2021, 10:00 AM - 02:15 PM: Research Design and Causal Analysis with R
22/07/2021, 10:00 AM - 02:15 PM: Natural Language Processing: Text Classification
23/07/2021, 10:00 AM - 02:15 PM: Natural Language Processing: Topic Modeling
26/07/2021, 10:00 AM - 02:15 PM: Network Analysis (Social Network Analysis)
26/07/2021, 03:30 PM - 07:45 PM: Experimental Designs and Experimental Methodology
27/07/2021, 10:00 AM - 02:15 PM: Social-media Based Experiments
29/07/2021, 10:00 AM - 02:15 PM: Introduction to Machine Learning
29/07/2021, 10:00 AM - 02:15 PM: Introduction to Deep Learning
30/07/2021, 10:00 AM - 02:15 PM: GeoData and Spatial Data Analysis with R
Time & Location
Jul 09, 2021 - Jul 30, 2021
Online