Home | Darpan | Volume 3 | Issue 3 July-Sep 2010 | FDP session 18th,19th & 20th July 2010

FDP session 18th,19th & 20th July 2010

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FDP session 18th,19th & 20th July 2010

various session of AICTE FDP was conducted on 19th July and 20th July 2010

18th Sunday Excursion-cum Learning Trip

On 19th July, 2010, Monday, Session I started at 10-11:30 am which was based on Univariate Analysis and Session II that was between 11:45-1:15 pm was continuation of Univariate Analysis. The Key note Speaker for this Session was Dr. V. K. Jain, Director Pioneer Institute of Professional Studies, Indore.

On 19th July, 2010, Session III, and Session IV was based on SPSS Training Session, conducted by Dr. A.K. Singh (DAVV).

In his lecture, he said that SPSS has become a leader in predictive analytics technologies through a combination of commitment to innovation and dedication to customers. We find SPSS customers in virtually every industry, including telecommunications, banking, finance, insurance, healthcare, manufacturing, retail, consumer packaged goods, higher education, government, and market research.
He highlighted on:
•    Descriptive statistics: Cross tabulation, Frequencies, Descriptives, Explore, Descriptive Ratio Statistics
•    Bivariate statistics: Means, t-test, ANOVA, Correlation (bivariate, partial, distances), Nonparametric tests
•    Prediction for numerical outcomes: Linear regression
•    Prediction for identifying groups: Factor analysis, cluster analysis (two-step, K-means, hierarchical), Discriminant

On 20th July, 2010, Tuesday Session I started at 10-11:30 am which was based on Bivariate Analysis and Session II that was between 11:45-1:15 pm was continuation of Bivariate Analysis. The Key note Speaker for this Session was Dr. V. K. Jain, Director Pioneer Institute of Professional Studies, Indore.

On 20th July, 2010, Session III, and Session IV was based on SPSS and Factor Analysis, conducted by Dr. A.K. Singh (DAVV).
The available modules he discussed were:
•    SPSS Programmability Extension (added in version 14). Allows Python programming control of SPSS.
•    SPSS Data Validation (added in version 14). Allows programming of logical checks and reporting of suspicious values.
•    SPSS Regression Models - Logistic regression, ordinal regression, multinomial logistic regression, and mixed models.
•    SPSS Advanced Models - Multivariate GLM and repeated measures ANOVA (removed from base system in version 14).
•    SPSS Classification Trees. Creates classification and decision trees for identifying groups and predicting behaviour.
•    SPSS Tables. Allows user-defined control of output for reports.
•    SPSS Exact Tests. Allows statistical testing on small samples.
•    SPSS Categories
•    SPSS Trends
•    SPSS Conjoint
•    SPSS Missing Value Analysis. Simple regression-based imputation.
•    SPSS Map
•    SPSS Complex Samples (added in Version 12). Adjusts for stratification and clustering and other sample selection biases.

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