• Oracle Advanced Analytics: Concepts and Techniques

Oracle Advanced Analytics: Concepts and Techniques

The Oracle Advanced Analytics: Concepts and Techniques course provides instructions on introductory right through to advanced business analytics, machine learning, data science techniques as well as data visualisation, big data and data warehouse development methods for activities based on real-life work scenarios.

On successful Completion of this course you will be able to:


  • Understand Predictive Analytics and Data Mining Concepts
  • Explain data mining concepts and describe the benefits of predictive analysis
  • Understand the Oracle Advanced Analytics (OAA) Option
  • Understand Oracle R Enterprise (ORE) / Machine Learning for R (OML4R)
  • Understand Predictive Analytics and Data mining and their role within Information Warehouse Architecture
  • Understand primary data mining tasks
  • Describe the key steps of a data mining process
  • Deploy various Predictive Analytics Methods and Techniques
  • Explore Predictive Analytics Case studies
  • Use the Oracle Data Miner to build, evaluate, apply, and deploy multiple data mining models
  • Use Oracle Data Mining's predictions and insights to address various kinds of business problems
Course Requirements
Prerequisites Some knowledge of SQL, Statistics and relational database systems
Target Audience
Audience Data Scientists Business Analysts Developers Functional Implementer Business Intelligence Developer

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Oracle Advanced Analytics: Concepts and Techniques

  • Brand: Weblearning Publishing
  • Product Code: Oracle Advanced Analytics: Concepts and Techniques
  • Reward Points: 100
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  • £99.99
  • £79.99

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Tags: Database Management, Oracle Database, DB2, SQL, DBA, Analytics, Data Warehouse, BI