Oracle - Advanced Analytics II and Data Mining (ORA9)
Databases, Oracle
This course expands participants' knowledge of advanced analytics, statistical methods and data mining in the Oracle environment. After a clear overview of analytic functions, we focus on time series, period-to-period comparison and advanced aggregations.
You will learn to handle text data and use Oracle's Model Clause for Excel-like transformations, perform regression analysis and hypothesis testing, apply association rules, and use sampling, percentiles and partitioned joins for robust predictive workflows.
Location, current course term
The course:
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Oracle Advanced Analytic Functions
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Oracle Analytics – summary of analytic functions
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Filling missing values
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Time series
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Period-to-period calculations
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Oracle Text Analysis
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Text data analysis – searching via a text index
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Comparison of methods for text analysis
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Oracle Advanced Analytic
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Pivoting and unpivoting – comparison of methods
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Approximate aggregate functions – purpose and use
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Oracle Model Clause – Excel-like processing
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Data sampling – methods and comparison
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Partitioned outer join and its usage
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Regression analysis
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Statistical aggregates (median and similar)
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Percentile and inverse percentile
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Hypothesis testing
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Linear algebra in Oracle
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Oracle Data Mining
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Introduction to data mining in Oracle
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Overview of Oracle methods for Data Mining
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Association rules and Market Basket Analysis
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Assumed knowledge:
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Basic knowledge of SQL and Oracle database concepts.
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Recommended previous course:
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Oracle - Advanced Analytics I. (ORA7)
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Schedule:
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2 days (9:00 AM - 5:00 PM )
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Course price:
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580.00 € ( 701.80 € incl. 21% VAT)
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Language:
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