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Statistical Data Analysis with SPSS: a practical approach
Rating: 4.5 out of 5(79 ratings)
1,653 students

Statistical Data Analysis with SPSS: a practical approach

From comparative analyses to multiple predictive models
Last updated 4/2023
English

What you'll learn

  • To handle data in SPSS
  • To perform basic and advanced analysis in SPSS
  • To perform comparative analyses using t-tests, ANOVA, ANCOVA and multivariate ANOVA
  • To test simple and multiple linear regression models, logistic models and many other models

Course content

5 sections22 lectures2h 55m total length
  • Introduction to the project9:16

    Students will get acquainted with the project that will be followed in this course

  • Defining variables in SPSS17:33

    Students will be able to define variables in SPSS

  • Introducing data into SPSS4:23

    Students will be able to introduce the responses from a questionnaire in SPSS

  • Importing databases into SPSS3:04

    Students will be able to import databases into SPSS

Requirements

  • Basic knowledge of Statistics or the desire to acquire it quickly
  • Access to SPSS

Description

In this course, you will learn how to perform statistical data analysis with one of the best statistical software in the world, called SPSS (Statistical Package for Social Sciences).

SPSS is indeed one of the best statistical software for many fields of research, such as social sciences, business intelligence, psychology, forensic research, medical research, and many others.

This course will present you with a research project that you will follow from the primary data generated by a survey, to a large set of statistical procedures able to extract valuable information from this data.

In this journey, you will learn to perform the following procedures in SPSS: to define variables and to introduce data, to import data, to transform and recode variables, to reverse and compute variables, to perform descriptive analysis, to perform independent and repeated measures t-tests, to perform independent and repeated Analysis of Variance (ANOVA), to perform multivariate ANOVA analysis, to perform ANCOVA analysis, to perform correlations, to test simple and multiple linear regression models, to test logistic models, and all other procedures that a well-trained analyst should know.

For each presentation, there are several exercises and databases attached as downloadable resources, which you can use to consolidate your knowledge about how to use SPSS properly.

Finally, this course is an ongoing process, which means that each new week or month, there will be constantly uploaded new lectures in order to upgrade your knowledge continuously.

So, what are we waiting for? Let's go!

Who this course is for:

  • Students, professionals, entrepreneurs and any other person interested in understanding data
  • Psychologists, sociologists, business researchers, data scientists, data analysts, entrepreneurs