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About Data MiningLearn More

Data mining is the process of sorting through a set of big data that identifies patterns and relationships and helps solve business problems through data analysis. Data mining is a key part of data analysis in general and one of the main disciplines in data science that uses advanced analysis techniques to find useful information in datasets.
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Courses

Subtitle
Building Features from Text Data
Pluralsight Janani Ravi
Janani Ravi
Building Features from Text Data
2:35:59
English subtitles
01/18/2023
Predictive Analytics Essential Training: Data Mining
Linkedin Learning Keith McCormick
Keith McCormick
Predictive Analytics Essential Training: Data Mining
1:54:53
01/07/2023
Learning Data Governance
Linkedin Learning Jonathan Reichental
Jonathan Reichental
Learning Data Governance
1:24:12
01/07/2023
Requirements Elicitation and Analysis
Linkedin Learning Angela Wick
Angela Wick
Requirements Elicitation and Analysis
1:22:14
12/21/2022
Summarizing Data and Deducing Probabilities
Pluralsight Janani Ravi
Janani Ravi
Summarizing Data and Deducing Probabilities
2:50:08
12/09/2022
Subtitle
Summarizing Data and Deducing Probabilities
Pluralsight Janani Ravi
Janani Ravi
Summarizing Data and Deducing Probabilities
2:50:24
English subtitles
12/08/2022
Configuring Prometheus 2 to Collect Metrics
Pluralsight Chris Green
Chris Green
Configuring Prometheus 2 to Collect Metrics
1:24:06
12/08/2022
Applied Data Science and Machine Learning in R for Beginners
Udemy Asmi Ariv
Asmi Ariv
Applied Data Science and Machine Learning in R for Beginners
8:50:50
12/03/2022
Time Series Data Collection Using Telegraf
Linkedin Learning Samantha Wang
Samantha Wang
Time Series Data Collection Using Telegraf
53:15
12/03/2022
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Books

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SQL Server Advanced Troubleshooting and Performance Tuning: Best Practices and Techniques PDF
SQL Server Advanced Troubleshooting and Performance Tuning: Best Practices and Techniques
Dmitri Korotkevitch
Data Mining
Advanced Analytics with PySpark: Patterns for Learning from Data at Scale Using Python and Spark PDF
Advanced Analytics with PySpark: Patterns for Learning from Data at Scale Using Python and Spark
Akash Tandon
Data Analysis
Python for Data Analysis: Data Wrangling with pandas, NumPy, and Jupyter PDF
Python for Data Analysis: Data Wrangling with pandas, NumPy, and Jupyter
Wes McKinney
Python
Data Quality Fundamentals: A Practitioner's Guide to Building Trustworthy Data Pipelines PDF
Data Quality Fundamentals: A Practitioner's Guide to Building Trustworthy Data Pipelines
Molly Vorwerck
Data Mining
Learning Google Analytics PDF
Learning Google Analytics
Mark Edmondson
Google Analytics
GPT-3: Building Innovative NLP Products Using Large Language Models PDF
GPT-3: Building Innovative NLP Products Using Large Language Models
Sandra Kublik
Natural Language Processing
Learning Ray: Flexible Distributed Python for Machine Learning PDF
Learning Ray: Flexible Distributed Python for Machine Learning
Max Pumperla
Python
Scaling Python with Ray: Adventures in Cloud and Serverless Patterns PDF
Scaling Python with Ray: Adventures in Cloud and Serverless Patterns
Holden Karau
Python
Embedded Analytics: Integrating Analysis with the Business Workflow PDF
Embedded Analytics: Integrating Analysis with the Business Workflow
Donald Farmer
Data Analysis
Data Quality Engineering in Financial Services: Applying Manufacturing Techniques to Data PDF
Data Quality Engineering in Financial Services: Applying Manufacturing Techniques to Data
Brian Buzzelli
Data Mining
Trino: The Definitive Guide: SQL at Any Scale, on Any Storage, in Any Environment PDF
Trino: The Definitive Guide: SQL at Any Scale, on Any Storage, in Any Environment
Matt Fuller
Data Mining
Data Management at Scale: Modern Data Architecture with Data Mesh and Data Fabric PDF
Data Management at Scale: Modern Data Architecture with Data Mesh and Data Fabric
Piethein Strengholt
Data Modeling
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