Digital Humanities Internship Experience

About
Privacy
Disclaimer

Graph Chatbot

Related lectures (32)

Page 3 of 4

Data Visualization: Principles and Techniques

Covers principles and techniques of data visualization, emphasizing storytelling, anomaly detection, and effective communication of results.

Collaborative Data Science: Tools and Techniques

Introduces collaborative data science tools like Git and Docker, emphasizing teamwork and practical exercises for effective learning.

Data Visualization Techniques: Applications and Principles

Discusses data visualization techniques, emphasizing their applications and principles for effective communication of complex information.

Data Journalism: Techniques and Examples

Delves into the fundamentals of data journalism and showcases its impact through real-world examples from The Pudding and The Guardian.

Digital Urban History: QGIS Practical Session

Covers the practical use of QGIS for spatial data analysis and visualization, including georeferencing historical maps and manipulating vector data.

Scientific Python: Data Analysis with Pandas and Matplotlib

Covers data analysis with Pandas and Matplotlib for weather data.

Oil Spills Analysis

Covers the analysis of oil spill events and demonstrates how to filter and analyze data for insights.

Car Data Analysis: ICC Workspace

Explores car data analysis in Python using the ICC workspace and covers reading, processing, and analyzing car information.

Exploratory Data Analysis: Binning and Histograms

Covers statistical frequency, binning, histograms, and R data analysis basics.

Digital History and Digitized Press

Delves into the 'digital turn' in history, examining historical research using digitized newspapers and exploring text reuse, word embeddings, and data visualization.