Data Visualization: Principles and Practices

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Related lectures (56)

PCA: Directions of Largest Variance Log in to Mediaspace to watch this video

Covers PCA, finding directions of largest variance, data dimensionality reduction, and limitations of PCA.

Unsupervised Learning: Dimensionality Reduction and Clustering Log in to Mediaspace to watch this video

Covers unsupervised learning, focusing on dimensionality reduction and clustering, explaining how it helps find patterns in data without labels.

Dimensionality Reduction: PCA and LDA Log in to Mediaspace to watch this video

Covers dimensionality reduction techniques like PCA and LDA, clustering methods, density estimation, and data representation.

Principal Component Analysis: Olympic Medals & Image Compression Log in to Mediaspace to watch this video

Explores PCA for predicting medals distribution and compressing face images.

Data Preparation for Machine Learning: Categorical and Numerical Data Log in to Mediaspace to watch this video

Explores data preparation for machine learning, emphasizing categorical to numerical conversion and effective data visualization techniques.

Data Visualization: Techniques, Tools & Concepts Log in to Mediaspace to watch this video

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

Data Visualization: Techniques and Applications Log in to Mediaspace to watch this video

Explores data visualization techniques, design impact, and interactive applications for effective information communication.

Matplotlib: Types of Graphs Log in to Mediaspace to watch this video

Explores different types of graphs achievable with Matplotlib, showcasing a variety of visualization techniques.

Data Wrangling: Transforming Data for Analysis Log in to Mediaspace to watch this video

Covers the process of data wrangling, focusing on transforming and preparing data for analysis.

Matplotlib: Overview Log in to Mediaspace to watch this video

Covers a wide range of topics in Matplotlib, including simple plots, subplots, and various types of charts.

Data Wrangling: Structuring and Cleaning Data Log in to Mediaspace to watch this video

Explores data wrangling techniques, error detection, functional dependencies, denial constraints, and data temporality.

Statistical Analysis: Boxplot and Normal Distribution Log in to Mediaspace to watch this video

Introduces statistical analysis concepts like boxplot and normal distribution using real data examples.

Data Science Visualization with Pandas Log in to Mediaspace to watch this video

Covers data manipulation and exploration using Python with a focus on visualization techniques.

Data Visualization Techniques: Applications and Principles Log in to Mediaspace to watch this video

Discusses data visualization techniques, emphasizing their applications and principles for effective communication of complex information.

Digital History and Digitized Press Log in to Mediaspace to watch this video

Delves into the 'digital turn' in history, examining historical research using digitized newspapers and exploring text reuse, word embeddings, and data visualization.

Data Visualization & Storytelling Log in to Mediaspace to watch this video

Delves into data physicalization, expressiveness, feminist visualization, and the balance between exploration and explanation in data visualization.

Document Analysis: Topic Modeling Log in to Mediaspace to watch this video

Explores document analysis, topic modeling, and generative models for data generation in machine learning.

Unsupervised Learning: Principal Component Analysis Log in to Mediaspace to watch this video

Covers unsupervised learning with a focus on Principal Component Analysis and the Singular Value Decomposition.

Data Representations and Processing in Machine Learning Log in to Mediaspace to watch this video

Covers data representations and processing techniques essential for effective machine learning algorithms.

LabVIEW: Data Processing and Visualization Log in to Mediaspace to watch this video

Introduces LabVIEW for data processing and visualization, covering topics like waveform synchronization and color lookup tables.

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