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Lecture
Data Visualization: Principles and Practices
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Related lectures (31)
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Data Wrangling with Hive: Managing Big Data Efficiently
Covers data wrangling techniques using Apache Hive for efficient big data management.
Data Science: Python for Engineers - Part II
Explores data wrangling, numerical data handling, and scientific visualization using Python for engineers.
Collaborative Data Science: Tools and Techniques
Introduces collaborative data science tools like Git and Docker, emphasizing teamwork and practical exercises for effective learning.
Principal Component Analysis: Dimension Reduction
Covers Principal Component Analysis for dimension reduction in biological data, focusing on visualization and pattern identification.
Data Visualization: Principles and Techniques
Covers principles and techniques of data visualization, emphasizing storytelling, anomaly detection, and effective communication of results.
Data Wrangling and Analysis
Covers a homework assignment on data wrangling and analysis using Python's pandas library for real-world datasets.
Dimensionality Reduction: PCA & t-SNE
Explores PCA and t-SNE for reducing dimensions and visualizing high-dimensional data effectively.
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.
Introduction to Data Stream Processing: Concepts and Applications
Covers the principles of data stream processing and its applications in real-time data analysis.
Data Wrangling Techniques: HBase and Hive Integration
Covers data wrangling techniques using HBase and Hive, focusing on integration and practical applications.