13.10.2022, 10:46
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Complete Introduction in Statistics in R, SPSS, JASP
Published 05/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 101 lectures (9h 18m) | Size: 10.5 GB
Theory, and applications in R, SPSS, JASP
What you'll learn
Learn statistics through an award-winning didactical concept
Get to know statistics in an applied way: We will not cover stuff you never need. We focus 100% on important quantitative research skills.
Learn about statistical concepts
Apply statistical procedures in different software packages: R, IBM SPSS Statistics, JASP
Requirements
No statistical knowledge required
It is helpful to have an idea about a own application of statistics (e.g., a thesis).
Description
Many struggle understanding or applying statistics-and it is not really difficult to understand why. The typical statistics textbook wants you to have a PhD in mathematics BEFORE engaging with it.
I've built this course in cooperation with the International School of Management to provide one coherent resource for learning about applied statistics.
I've packed my whole experience of practicing statistics and teaching statistics in it-that's more than a decade of each and it also includes multiple research awards and high-impact publications (i.e., I know what I am doing) and four teaching awards (i.e., I know how to teach it to you).
It really became a one-stop shop for anything that you could be interested in when taking your first steps in quantitative analysis (this definitely includes Bachelor's and Master's levels, it may also include doctoral level, if you use quantitative analyses to complement more qualitative work).
Each unit is not only packed with video lessons, but it also includes references to further reading, assignments, and exercises. The course contains own data, scripts you could follow, etc. In short: It's all in there!
And in case that the course does not work out for you, please do not forget that you have a 30-days refund window, no questions asked.
Yours
Dominik
Who this course is for
Persons that want to take up a thesis project
Individuals generally interested in statistics
People interested in learning about different software applications for statistics
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