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IT & SoftwareOther IT & SoftwareData Analysis

Learn Statistics with JASP (a FREE alternative to SPSS)

From basic to advanced procedures
Rating: 4.4 out of 54.4 (29 ratings)
407 students
Created by Sebastian Pintea
Last updated 3/2022
English
English [Auto]

What you'll learn

  • To handle databases and results in JASP
  • To perform data analysis with JASP, from basic to advanced
  • To construct an validate complex predictive models with JASP
  • To find patterns in the data with JASP

Requirements

  • Basic knowledge of arithmetic and algebra
  • Basic knowledge of statistics is an advantage

Description

JASP is a free multi-platform open-source statistics package, developed and continually updated by a group of researchers at the University of Amsterdam. It has a simple drag and drop interface, easy access menus, intuitive analysis with real-time computation, and a display of all results. JASP can perform from basic data analysis (descriptive statistics such as central tendency, dispersion, histograms, scatter plots, box-plots, raincloud plots, comparisons between groups and between measures such as t-test, Analysis of Variance, non-parametric tests such as Mann-Whitney, Wilcoxon, Kruskal-Wallis, Friedman, parametric and non-parametric correlations, simple and multiple regressions, linear mixed models, generalized linear mixed models) to more advanced data analysis such as factorial analysis, networks analysis, meta-analysis, structural equation modeling, visual modeling, machine learning and many more.

I think that everybody who is interested in data analysis deserves to know about JASP and to learn how to use it.

I invite you to join me on this learning journey. At this moment, there are several analytical modules from JASP for which I have already generated learning tutorials, but this is an ongoing process, and this course is growing from one week to another.

I need a companion on this journey. So what are you waiting for? Let's go!

Who this course is for:

  • Students from a large diversity of sciences (data science, engineering, sociology, psychology, anthropology, economics, marketing, business etc))
  • Managers and entrepreneurs who want to gain valuable information by analyzing data in their domains
  • Professionals who want to take a big step further in their careers by adding new cognitive tools to their belt

Instructor

Sebastian Pintea
Associate Professor, PhD
Sebastian Pintea
  • 4.6 Instructor Rating
  • 105 Reviews
  • 3,115 Students
  • 4 Courses

Sebastian Pintea is an associate professor in one of the main universities in Europe. He has two bachelor's degrees, one in Sociology and one in Psychology, and a Ph.D. in Entrepreneurial Psychology. He followed two postdoctoral programs, one in the field of clinical psychology and the other in the field of functional genomics, biomedicine, and translational medicine. He has 20 years of experience in the academic environment, with relevant contributions for both research and teaching.

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