Data Science Foundations
Data Mining
All data science begins with good data. Data mining is a framework for collecting, searching, and filtering raw data in a systematic matter, ensuring you have clean data from the start. It also helps you parse large data sets, and get at the most meaningful, useful information. This course,
Contents:
- Introduction
- 1. Preliminaries
- 2. Data Reduction
- 3. Clustering
- 4. Classification
- 5. Anomaly Detection
- 6. Association Analysis
- 7. Regression Analysis
- 8. Sequential Patterns
- 9. Text Mining
- Conclusion
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Rating | Not enough ratings |
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Length | 4h 40m |
Starts | On Demand (Start anytime) |
Cost | $29/month (Access to entire library- free trial available) |
From | LinkedIn Learning |
Instructor | Barton Poulson |
Download Videos | Only via the LinkedIn Learning mobile app |
Language | English |
Subjects | Data Science Business IT & Networking |
Tags | Data Analysis Business IT Business Intelligence Big Data Data Mining Web Analytics |
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Head of Data Science $131k
Assistant Director 1 of Data Science $133k
Owner Director of Data Science $149k
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Rating | Not enough ratings |
---|---|
Length | 4h 40m |
Starts | On Demand (Start anytime) |
Cost | $29/month (Access to entire library- free trial available) |
From | LinkedIn Learning |
Instructor | Barton Poulson |
Download Videos | Only via the LinkedIn Learning mobile app |
Language | English |
Subjects | Data Science Business IT & Networking |
Tags | Data Analysis Business IT Business Intelligence Big Data Data Mining Web Analytics |
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