Udemy – Advanced Data Science Techniques in SPSS 2020-12

Description

Advanced Data Science Techniques in SPSS course. Within days you can master some of the most complex data analysis techniques available in SPSS software. Even if you are not a professional mathematician or statistician, you will understand these techniques well and be able to apply them in practical and real situations. Let’s see what you will learn:

• Stepwise regression
• Non-linear regression
• K nearest neighbor
• Decision trees
• Neural networks
• Two-stage cluster analysis
• Survival analysis

What you will learn in this course

• Perform advanced linear regression using predictive selection techniques
• Perform any type of non-linear regression analysis
• Prediction using the k nearest neighbor (KNN) technique.
• Using binary trees (CART) for prediction (both regression and classification trees)
• Using non-binary (CHAID) trees for prediction (both regression and classification trees)
• Construction and training of a multilayer perceptron (MLP)
• Construction and training of a radial basis neural network (RBF)
• Perform two-way clustering analysis
• Carrying out survival analysis using the Kaplan-Meier method
• Performing survival analysis using Cox regression
• Validation of prediction techniques (KNN, trees, neural networks) using validation set and cross-validation approach
• Save a predictive analytics model and use it to predict future new data

This course is suitable for people who

• Students
• Doctoral students
• Academic researchers
• Business researchers
• University professors
• Anyone interested in data analytics and data science

Advanced Data Science Techniques in SPSS course specifications

• Publisher:  Udemy
• Lecturer:  Bogdan Anastasiei
• Training level: beginner to advanced
• Training duration: 6 hours and 41 minutes
• Number of courses: 87

Course headings

Advanced Data Science Techniques in SPSS course prerequisites

• SPSS program installed (version 21+)
• Basic SPSS knowledge
• Basic or intermediate statistics knowledge

Course images

Sample video of the course

download link

Download file – 831 MB

File(s) password: www.downloadly.ir

File size

831 MB