Oracle - Statistics using SQL
Course Overview
| ID | 2102005 |
| Duration | 2.0 days |
| Methods | Lecture with examples and exercises. |
| Prerequisites | Oracle SQL, PL / SQL |
| Target group | Business Intelligence Developer |
| Vorgängerkurs | 2102001 |
Overview
Oracle developers, and marketing/controlling professionals who have direct access to the Oracle database using SQL or PL/SQL can perform statistical analysis for descriptive statistics and inferential statistics using SQL queries and PL/SQL procedures and PL/SQL functions. This course presents you the numerous functions that are available directly in the Oracle database by making heavy use of scripting examples. The statistical concepts of central tendency, dispersion, correlation and regression, and statistical testing for distribution tests, contingency analysis and the analysis of variance (ANOVA) are also a part of this training.
Dates
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Your benefits at a glance
- Flexible preferred date
- Customized content
- Intensive exchange
- High practical relevance
Description
Use Oracle and SQL functions for descriptive and inductive data analysis, i.e., describing data and proving statements as well as modeling.
Services
- Lunch / catering
- Help with hotel / travel
- Comelio certificate
- Flexible: free cancellation up to one day before
Comelio Media
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Content
Data analysis using Descriptive Statistics
Central tendency: Frequencies using COUNT, mode using STATS_MODE, mean values ??using AVG, MEDIAN - quantiles using PERCENTILE_CONT and PERCENTILE_DISC - Measures of dispersion: range using MIN and MAX, standard deviation using STDDEV, STDDEV_POP and STDDEV_SAMP, variance using VAR_POP, VAR_SAMP and VARIANCE - Rank and distribution using CUME_DIST, DENSE_RANK, RANK, and PERCENT_RANK
Correlation analysis
Covariance using COVAR_POP and COVAR_SAMP - correlation using CORR (Bravais-Pearson) - rank correlation using CORR_S (Spearman's rho) and CORR_K (Kendall's tau)
Regression analysis
Linear regression and the least squares method - linear equation derived using REGR_SLOPE and REGR_INTERCEPT - coefficient of determination using REGR_R2 - averages using REGR_AVGX and REGR_AVGY - model check using REGR_COUNT, REGR_SXX, REGR_SYY and REGR_SXY - prediction and residual analysis
Contingency
contingency and categorical variables - Chi-Square test using CHISQ_OBS and CHISQ_DF - significance using CHISQ_SIG - Contingency: Phi Coefficient using PHI_COEFFICIENT, Cramer's V using CRAMERS_V, Contingency Coefficient using CONT_COEFFICIENT and Cohen's Kappa using COHENS_K
Statistical Tests
Overview of probability theory - introduction to test theory - t-test using STATS_T_TEST_ONE (one sample), STATS_T_TEST_PAIRED (two samples), STATS_T_TEST_INDEP (two independent samples) and STATS_T_TEST_INDEPU (two independent samples with unequal variance) - variance comparison using STATS_F_TEST - distribution tests using STATS_BINOMIAL_TEST - Mann-Whitney test using STATS_MW_TEST - Kolmogorov-Smirnov function using STATS_KS_TEST - Wilcoxon signed ranks using STATS_WSR_TEST
Analysis of Variance (ANOVA)
Analysis of Variance - ANOVA performed using STATS_ONE_WAY_ANOVA: Sum of Squares using SUM_SQUARES_BETEEN and SUM_SQUARES_WITHIN, mean squares using MEAN_SQUARES_BETWEEN and MEAN_SQUARES_WITHIN, F-value using F_RATIO and significance using SIG
Instructor
Our Oracle trainer, Marco Skulschus, studied economics with a focus on business informatics in Wuppertal and Paris and has been working as an Oracle trainer and Oracle DB developer for data warehousing and reporting solutions for over 10 years. He has published several books on Oracle SQL and Oracle PL/SQL.
Publications
- Oracle SQL (Comelio Medien )
978-3-939701-41-5 - Oracle PL/SQL (Comelio Medien )
978-3-939701-40-8 - Oracle PL/SQL - Objektrelationale Techniken (Comelio Medien )
978-3-939701-42-2 - Oracle, PL/SQL und XML (Comelio Medien )
978-3-939701-49-1 - Oracle 10g: Programmierung mit PL/SQL, Java, PHP und C++ (Galileo Computing )
978-3898423144