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Related lectures (32)
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Hydrostatic Pressures Figure in ECG
Analyzes hydrostatic pressures in ECG using Excel tools for data visualization.
Dimensionality Reduction: PCA & t-SNE
Explores PCA and t-SNE for reducing dimensions and visualizing high-dimensional data effectively.
Urban Metabolism Analysis
Explores systemic environmental assessment, national material flow analysis, and urban metabolism dashboard development for Zurich using open data.
Data Science Essentials: Pandas, Numpy, Matplotlib
Introduces Pandas, Numpy, and Matplotlib for data analysis and visualization in Python.
Structuring exploratory spatial data analysis
Explores the structured approach to exploratory spatial data analysis, emphasizing the importance of analytical frameworks and the Visual Seeking Mantra.
Data Science for Engineers: Part 2
Explores data manipulation, exploration, and visualization in data science projects using Python.
Big Data Best Practices and Guidelines
Covers best practices and guidelines for big data, including data lakes, architecture, challenges, and technologies like Hadoop and Hive.
PCA: Directions of Largest Variance
Covers PCA, finding directions of largest variance, data dimensionality reduction, and limitations of PCA.
Biomechanics: Velocity Analysis
Explores the analysis of velocity data in biomechanics using Excel for visualization and interpretation.
Data Science: Python for Engineers - Part II
Explores data wrangling, numerical data handling, and scientific visualization using Python for engineers.