Oracle – Advanced Analytics II and Data Mining (ORA9)

Databases, Data Analytics

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.

THIS TRAINING COURSE WILL HELP YOU:

  • Analyze time series and calculate missing values
  • Work with unstructured text and text indexes
  • Transform data using Model Clause and advanced functions
  • Build predictive models and apply statistical tests

WHO SHOULD ATTEND?

  • Data analysts handling large data volumes
  • Developers and data engineers transforming data
  • SQL experts learning text and predictive methods
  • BI specialists applying statistical models

COURSE LOCATION AND AVAILABLE DATES



Choose whether to attend in person in our classroom or join online. You can select your preferred format during registration. Learn more about hybrid training.

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Course content:

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  • Oracle Advanced Analytic Functions
    1. Oracle Analytics – summary of analytic functions
    2. Filling missing values
    3. Time series
    4. Period-to-period calculations
  • Oracle Text Analysis
    1. Text data analysis – searching via a text index
    2. Comparison of methods for text analysis
  • Oracle Advanced Analytic
    1. Pivoting and unpivoting – comparison of methods
    2. Approximate aggregate functions – purpose and use
    3. Oracle Model Clause – Excel-like processing
    4. Data sampling – methods and comparison
    5. Partitioned outer join and its usage
    6. Regression analysis
    7. Statistical aggregates (median and similar)
    8. Percentile and inverse percentile
    9. Hypothesis testing
    10. Linear algebra in Oracle
  • Oracle Data Mining
    1. Introduction to data mining in Oracle
    2. Overview of Oracle methods for Data Mining
    3. Association rules and Market Basket Analysis
Prerequisites:
Basic knowledge of SQL and Oracle database concepts.
Recommended previous course:
Oracle – Advanced Analytics I. (ORA7)
Schedule:
2 days (9:00-17:00)
Price per person:
580.00 € ( 701.80 € incl. 21% VAT)

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