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
- 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
- correlations
- principal component analysis
- cluster analysis
Prediction - single regression analysis and multivariate
- method of the least squares
- Linear Model
- instrumental variable regression models (dummy, effect, orthogonal coding)
Statistical Inference
Requirements
Knowledge of SPSS and the basis of statistics. Course participant should complete the training of SPSS Statistics Predictive Analytics Software.
Testimonials (8)
The pace was just right and the relaxed atmosphere made candidates feel at ease to ask questions.
Rhian Hughes - Public Health Wales NHS Trust
Course - Introduction to Data Visualization with Tidyverse and R
We were using road accident data for practicals
Maphahamiso Ralienyane - Road Safety Department
Course - Statistical Analysis using SPSS
The flexible and friendly style. Learning exactly what was useful and relevant for me.
Jenny
Course - Advanced R
The subject matter and the pace were perfect.
Tim - Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada
Course - Programming with Big Data in R
That Haytham started with the basics and gave us enough time to do the examples and ensure that we were at the same page before we moved on to the next topic.
Jaco Dreyer - Africa Health Research Institute
Course - R Fundamentals
I really was benefit from the real life practical examples.
Wioleta
Course - Data and Analytics - from the ground up
the clarity with which he explained the entire course, as well as the willingness to return to the syllabus when necessary
Carlos Eloy - AMERICAN EXPRESS COMPANY MEXICO
Course - Data Analytics With R
Machine Translated
Very tailored to needs.