Reproducible Research: Principles and Tools

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Related lectures (32)

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Data Visualization: Techniques, Tools & Concepts

Covers data visualization techniques, tools, and concepts for effective data representation.

Git Basics: Version Control Systems and Software Development

Introduces git basics, version control systems, and software development, emphasizing the importance of VCS and distributed backups.

Quantum Chemistry

Covers topics in Quantum Chemistry, including history, tools, color & draw techniques, shapes, and mathematical conversions.

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.

Model Formulas in R: Basics and Applications

Explores model formulas in R, covering basics, interactions, ANOVA, and factorial designs with practical examples.

Exploratory Data Analysis: Binning and Histograms

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

Vectorworks Basics & Attributes

Covers the basics of Vectorworks software and attributes like fill types and shadow settings.

Introduction to LabVIEW

Covers the basics of LabVIEW, including its importance, history, functions, and tools available.

Spectroscopy Fundamentals

Covers the fundamentals of spectroscopy, including selection rules and transitions.

Collaborative Data Science: Tools and Git Workflow

Explores tools like Git and Docker for collaborative data science projects.