Mining Courses

NPTEL;  IIT Kharagpur

Data Mining

45 ratings

Covers core data-mining algorithms—from preprocessing and Apriori association rules to classification and clustering—with implementations and industrial case studies.

• YouTube
• 16 hours
• Self-Paced
• Free Video

Mining Massive Datasets

24 ratings

The course is based on the text Mining of Massive Datasets by Jure Leskovec, Anand Rajaraman, and Jeff Ullman, who by coincidence are also the instructors for the course.

• edX
• 7 weeks, 5-10 hours a week
• Self-Paced
• Free Online Course (Audit)

• Best of All Time

Pattern Discovery in Data Mining

21 ratings

Mine frequent, closed, and sequential patterns from massive transactional data with Apriori, SPADE, and PrefixSpan, evaluate them using null-invariant measures, and apply pattern mining to text and trajectories.

• Coursera
• 5 weeks, 3 hours a week
• Self-Paced
• Paid Course

Coal: From Mining to Electricity Generation and Future Outlook

2 ratings

Comprehensive exploration of coal's lifecycle, from mining to electricity generation, examining environmental impacts, economics, and future prospects in the energy landscape.

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

Eindhoven University of Technology

Process Mining: Data science in Action

18 ratings

Learn to mine event logs: discover process models with the Alpha-algorithm and Petri nets, check conformance, and enhance models with bottleneck and social analysis.

• Coursera
• 6 weeks, 4 hours a week
• Self-Paced
• Paid Course

Coal - Mining, Processing, Transportation, and Environmental Impacts

Explore coal's role in energy, from mining and processing to electricity generation, environmental impacts, and future economic prospects in this comprehensive Stanford lecture.

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

Coal - Mining, Processing, Transportation, and Environmental Impacts

Explore coal's significance, mining processes, transportation, electricity generation, environmental impacts, and economic future in this comprehensive Stanford energy lecture.

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

Text Mining and Analytics

10 ratings

Mine text statistically: discover paradigmatic and syntagmatic word associations, build PLSA and LDA topic models, cluster and categorize documents, and analyze sentiment with ordinal regression.

• Coursera
• 7 weeks, 5 hours a week
• Self-Paced
• Paid Course

Text Mining with Bag-of-Words in R

139 ratings at DataCamp

It is estimated that over 70% of potentially usable business information is unstructured, often in the form of text data.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Mining Financial Model & Valuation

53 ratings at Corporate Finance Institute

Build a DCF valuation model for a mining asset in Excel

• Corporate Finance Institute
• 1 hour 40 minutes
• Self-Paced
• Paid Course

Text Mining in R

Discover text mining in R and learn how to extract exciting insights from tweets, product reviews, and books through sentiment analysis in R.

• DataCamp
• 16 hours
• Self-Paced
• Free Trial Available

Knowledge Mining With Azure AI Search

1 rating at Udacity

In this course, you'll learn how to build end-to-end solutions with Azure Cognitive Search. You'll learn how to import data into Cognitive Search, enrich data using built-in and custom skills, and consume data from Cognitive Search in your applications.…

• Udacity
• 13 hours
• Self-Paced
• Paid Course

Applied Text Mining in Python

3827 ratings at Coursera

Mine text with Python: manipulate text using the nltk framework, search and clean it with regular expressions, classify documents, and detect topics through topic modelling.

• Coursera
• 4 weeks, 6 hours a week
• Self-Paced
• Paid Course

Cluster Analysis in Data Mining

7 ratings

Learn clustering methods for data mining: partitioning with k-means, hierarchical BIRCH, density-based DBSCAN/OPTICS, plus validation techniques for evaluating clustering quality.

• Coursera
• 6 weeks, 3 hours a week
• Self-Paced
• Paid Course

Data Mining in Python

14 ratings at Coursera

Extract knowledge from large datasets: represent data as itemsets, vectors, matrices and sequences, then mine frequent patterns and similarity measures like Jaccard and edit distance.

• Coursera
• 4 weeks, 13 hours a week
• Self-Paced
• Paid Course