Tuesday, June 13, 2017

SPSS Training in Kathmandu Nepal

SPSS Training in Kathmandu Nepal
SPSS Training in Kathmandu Nepal
Open Eyes IT Solution is going to start new session on Advance SPSS Training in Kathmandu Nepal.
Hurry up seat are limited. Enroll Now! Further more details call us at: 977-1-4104372, 977-9843617299. And our mailing address: info@openeyesit.com.

Requirements
Knowledge of SPSS and the basis of statistics. Course participant should complete the training of SPSS Statistics Predictive Analytics Software.

SPSS Training in Kathmandu Nepal
SPSS Training in Kathmandu Nepal
Overview Overview
Goal:

Mastering the skill work independently with the program SPSS for advanced use, dialog boxes, and command language syntax for the selected analytical techniques.
SPSS Training in Kathmandu Nepal
SPSS Training in Kathmandu Nepal

The addressees:

Analysts, researchers, scientists, students and all those who want to acquire the ability to use SPSS package and advanced level and learn the selected statistical models. Training takes universal analysis problems and it is dedicated to a specific industry
SPSS Training in Kathmandu Nepal
SPSS Training in Kathmandu Nepal

Course Outline Course Outline
Preparation of a database for analysis

management of data collection
operations on variables
transforming the variables selected functions (logarithmic, exponential, etc.)
Parametric and nonparametric statistics, or how to fit a model to the data

SPSS Training in Kathmandu Nepal
SPSS Training in Kathmandu Nepal
measuring scale
distribution type
outliers and influential observations (outliers)
sample size
central limit theorem
Study the differences between the characteristics of statistical

tests based on the average and media
Analysis of correlation and similarities

SPSS Training in Kathmandu Nepal
SPSS Training in Kathmandu Nepal
Correlations
principal component analysis
cluster analysis
Prediction - single regression analysis and multivariate

Method of least squares
Linear Model
instrumental variable regression models (dummy, effect, orthogonal coding)





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