Digital Humanities Internship Experience

Related lectures (32)

Page 2 of 4

Covers the essentials of data science, including data handling, visualization, and analysis, emphasizing practical skills and active engagement.

Covers Principal Component Analysis for dimension reduction in biological data, focusing on visualization and pattern identification.

Covers the NABEL Data Analysis Assignment, emphasizing data analysis skills and report formatting for air pollution concentrations and meteorology.

Explores data visualization principles, including chart navigation, histograms, scatter plots, box plots, and color usage.

Covers the analysis of KMnO4 concentrations using data from a CSV file.

Emphasizes the importance of data visualization techniques and practices for effective data analysis and communication.

Covers the analysis of ECG figures using Excel to create vectograms.

Explores trend analysis in Excel using rent data from 1995 to 2023.

Explores data manipulation, exploration, and visualization in data science projects using Python.

Covers the analysis of ECG heart rate data and respiratory flow measurements using Excel.