Managing Columns in Professor Recruitment List

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Covers the basics of creating and customizing charts in Excel.

Covers stylized facts in finance and reproducible research in scientific computing.

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

Introduces the course structure and fundamental concepts of machine learning, including supervised learning and linear regression.

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

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

Explores systemic environmental assessment, national material flow analysis, and urban metabolism dashboard development for Zurich using open data.

Delves into the application of machine learning in enhancing human rights documentation and advocacy for organizations like HURIDOCS.

Introduces the basics of machine learning, covering supervised and unsupervised learning, linear regression, and data understanding.

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