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Economy-wide material flow analysis: from exercises to projects
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Data Visualization: Techniques, Tools & Concepts
Covers data visualization techniques, tools, and concepts for effective data representation.
Big Data Best Practices and Guidelines
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Principal Component Analysis: Dimension Reduction
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Data Science Essentials: Pandas, Numpy, Matplotlib
Introduces Pandas, Numpy, and Matplotlib for data analysis and visualization in Python.
Data Wrangling and Analysis
Covers a homework assignment on data wrangling and analysis using Python's pandas library for real-world datasets.
Super-vision: Celebrating EPFL's Doctoral Theses History
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Data Analysis Techniques: Amplitude Shift Keying and Graphical Methods
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Data Visualization & Storytelling
Delves into data physicalization, expressiveness, feminist visualization, and the balance between exploration and explanation in data visualization.
Introduction to Applied Data Analysis
Introduces the Applied Data Analysis course at EPFL, covering a broad range of data analysis topics and emphasizing continuous learning in data science.
Data Visualization: Principles and Practices
Explores data visualization principles, including chart navigation, histograms, scatter plots, box plots, and color usage.
