Data Mining Courses and Certifications

UofU Data Science

Data Mining: Frequent Directions and Random Projections - Spring 2023

Explore dimensionality reduction techniques through random projections, frequent directions, and SVD, with practical applications including the Linformer architecture for data mining.

• YouTube
• 1 hour 19 minutes
• Self-Paced
• Free Video

UofU Data Science

Random Projection in Data Mining - Spring 2023

Explore random projection techniques in data mining, from PCA and SVD fundamentals to Johnson-Lindenstrauss lemma, with practical algorithms and theoretical foundations.

• YouTube
• 38 minutes
• Self-Paced
• Free Video

UofU Data Science

Nonlinear Regression and Regularization in Data Mining - Spring 2023

Master nonlinear regression concepts, from polynomial mappings to regularization techniques, while learning practical implementation in Python and understanding cross-validation for model optimization.

• YouTube
• 1 hour 18 minutes
• Self-Paced
• Free Video

UofU Data Science

Data Mining: Count-Min Sketch and Count Sketch Algorithms - Spring 2023

Dive into advanced data mining techniques, focusing on Count-Min Sketch algorithms, space optimization, and comparative analysis with Misra-Gries method for efficient data processing.

• YouTube
• 54 minutes
• Self-Paced
• Free Video

UofU Data Science

Data Mining: Sketch Algorithms and Count-Min Sketch Analysis - Spring 2023

Explore advanced sketch algorithms including Misra-Gries and Count-min techniques for efficient data mining, with detailed analysis and practical applications.

• YouTube
• 1 hour 24 minutes
• Self-Paced
• Free Video

UofU Data Science

Data Mining: Streaming Algorithms and the Misra-Gries Algorithm - Spring 2023

Master streaming algorithms and frequency estimation through Misra-Gries techniques, spectral clustering, and majority algorithms for efficient data mining solutions.

• YouTube
• 1 hour 3 minutes
• Self-Paced
• Free Video

UofU Data Science

Spectral Clustering and Graph Partitioning - Data Mining Spring 2023

Master spectral clustering concepts through graph theory, Laplacians, eigenvalues, and practical algorithms for data partitioning and similarity analysis.

• YouTube
• 1 hour 20 minutes
• Self-Paced
• Free Video

UofU Data Science

Data Mining: Understanding Hierarchical Clustering - Spring 2023

Master hierarchical clustering techniques, from basic concepts to advanced validation methods, including cluster proximity measures, stopping criteria, and efficiency considerations.

• YouTube
• 1 hour 19 minutes
• Self-Paced
• Free Video

UofU Data Science

Understanding Distance Metrics in Data Mining - Spring 2023

Explore various distance metrics in data mining, from Euclidean and Manhattan to Mahalanobis and Angular, learning their applications, limitations, and relationships to LSH algorithms.

• YouTube
• 1 hour 20 minutes
• Self-Paced
• Free Video

UofU Data Science

Data Mining: Choosing k for MinHashing - Spring 2023

Delve into advanced min hashing concepts, exploring PAC learning, Central Limit Theorem, and Chernoff-Hoeffding Inequality to optimize k-value selection for accurate Jaccard similarity estimates.

• YouTube
• 21 minutes
• Self-Paced
• Free Video

UofU Data Science

Min Hashing in Data Mining - Spring 2023

Master min-hashing techniques for data mining, from basic concepts to fast implementation, including characteristic matrices, crucial properties, and practical exercises for efficient similarity estimation.

• YouTube
• 1 hour 22 minutes
• Self-Paced
• Free Video

UofU Data Science

Data Mining: K-grams and Jaccard Similarity - Spring 2023

Dive into k-grams and Jaccard similarity concepts through practical examples and exercises, covering set similarities and fundamental data mining principles for effective text analysis.

• YouTube
• 1 hour 20 minutes
• Self-Paced
• Free Video

International Centre for Theoretical Sciences

Data Mining the Many-body Problem - From Equilibrium to Driven Systems by Marcello Dalmonte

Explore data mining techniques for many-body systems, from equilibrium to driven states. Learn to analyze complex quantum phenomena and their applications in theoretical physics.

• YouTube
• 52 minutes
• Self-Paced
• Free Video

Society for Industrial and Applied Mathematics

Surviving a Ph.D. and Career Options in Data Mining - Doctoral Forum Panel

Expert panel discusses strategies for Ph.D. success and post-doctoral career paths in academia, industry, and research labs, offering valuable insights for data mining doctoral students.

• YouTube
• 1 hour 58 minutes
• Self-Paced
• Free Video

UofU Data Science

Data Mining: Distances and Similarities - Lecture 4

Explore distance metrics and similarity measures, focusing on Jaccard distance, k-grams implementation, and their practical applications in measuring text similarities.

• YouTube
• 1 hour 20 minutes
• Self-Paced
• Free Video