Digital History and Digitized Press

Related lectures (32)

Page 3 of 4

Introduces a course on Genetics & Genomics, focusing on R programming with interactive exercises.

Covers the fundamentals of data science, emphasizing breadth over depth and practical application in machine learning and data analysis.

Explores the analysis of velocity data in biomechanics using Excel for visualization and interpretation.

Introduces LabVIEW for data processing and visualization, covering topics like waveform synchronization and color lookup tables.

Explores data visualization techniques, design impact, and interactive applications for effective information communication.

Explores parametric spectrum estimation methods, including line and smooth spectra, and delves into heart rate variability analysis.

Covers best practices and guidelines for big data, including data lakes, typical architecture, challenges, and technologies used to address them.

Explores data representation, databases, cloud computing, and challenges in the cloud environment.

Covers the analysis of air pollution data, focusing on R basics, visualizing time series, and creating summaries of pollutant concentrations.

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