<< WIN UDEMY SpSS FOR RESEARCH TUTORIAL-KEISO nzb
UDEMY SpSS FOR RESEARCH TUTORIAL-KEISO nzb
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Category Applications
PlatformWindows
GenreEducational
Date 09/03/2017, 07:57
Size 7.04 GB
Spotted with Spotnet 1.8.6.3
Website https://nzbindex.nl/search/?q=UDEMY+SpSS+FOR+RESEARCH+TUTORIAL-KEISO+nzb
Sender ThePingPong (CX3x2g)
Tag PingPong
Searchengine Search
NZB NZB
Number of spamreports 0

Post Description

▓█▓▄    █▄▀▀█▌ ▄ ▄█▓▀                                     ▀▓█▄ ▄ ▀█▀▀▄█    ▄▓█▓
▀▓█▓▄▄▓████▄▄▄██▀▀ RELEASE INFORMATION ▀▀██▄ ▄████▓▄▄▓█▓▀
▀▓████▀▓█▀ ▀▓▀ ▀▓ ▀█▓▀████▓▀
█ ▀█▓▓██▄▄██ TITLE: SPSS For Research ██▄▄██▓▓█▀ █
█▀ ▐█▒▓██░██ ██░██▓▒█▌ ▀█
█▀ █▓███▒█▌ ▐█▒███▓█ ▀█
█▀ ▐█▓███▓█░ ░█▓███▓█▌ ▀█
█▀ ▐██████▌ PUBLISHER..........: UDEMY ▐██████▌ ▀█
█▀ ▀▀████▓ LINK...............: https://v.gd/zjKg2b ▓████▀▀ ▀█
▌ ▓██▌▄ ▀▀ AUTHOR.............: Bogdan Anastasiei ▀▀ ▄▐██▓ ▐
▌▐███░▒███▌ LEVEL..............: All Levels ▐███▒░███▌▐
▌ ████▓████ RUNTIME............: 843 minutes ████▓████ ▐
█ ▐▓█▀█████░ LANGUAGE...........: ENGLISH ░█████▀█▓▌ █
█▀ ▀▄█▄▄▀▀█▓ RELEASE TYPE.......: RETAIL ▓█▀▀▄▄█▄▀ ▀█
█▀▄ ▄▀███▓▄ RELEASE FORMAT.....: ISO ▄▓███▀▄ ▄▀█
█▀█ ▐▓▄▀████ STORE DATE:........: 2015.04.28 ████▀▄▓▌ █▀█
█▀█ ▐█▌▓██▓ RELEASE DATE.......: 2017.03.08 ▓██▓▐█▌ █▀█
▓▀█ ▓▌░██▓ ISO SIZE...........: 6,625,738,752 ▓██░▐▓ █▀▓
▒▀█ █ ▓█▓ ISO CHECKSUM.......: 7057AEFD ▓█▓ █ █▀▒
░ █ ▌░██ DISKCOUNT..........: 67 * 100MB ██░▐ █ ░
▓█▌▓█▌ SAVED MONEY........: YOU DID! ▐█▓▐█▓
░ ▒█▐██ DISKNAME...........: keiso_usr ██▌█▒ ░
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█▀ ▓░ ▄ █▄▌██ ▄ ▀ ▀█▌▐▓▀ TUTORIAL ▀▓▌▐█▀ ▀ ▄ ██▐▄█ ▄ ░▓ ▀█
▄▀ ▄ ▀▄ ▀▌▓█ ▀▄▄ ▀ ▀▄ ▄▀ ▀ ▄▄▀ █▓▐▀ ▄▀ ▄ ▀▄
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█▀█ ▄▓ ▄ ▐▌ ▐▌ ▄ ▓▄ █▀█
█▀█ █▓ ▄▓▄▀ Become an expert in statistical analysis with the ▀▄▓▄ ▓█ █▀█
█▀█ ▓▒ ▒ most extended SPSS course at Udemy: 146 video ▒ ▒▓ █▀█
█▀█ ▒░ ░ lectures covering about 15 hours of video! ░ ░▒ █▀█
▓▀█ ▒░ ░▒ █▀▓
▒▀█ ░▓ Within a very short time you will master all the ▓░ █▀▒
░ █ ▒ essential skills of an SPSS data analyst, from the ▒ █ ░
▓ ░ simplest operations with data to the advanced ░ ▓
░ ▒ ░ multivariate techniques like logistic regression, ░ ▒ ░
░ multidimensional scaling or principal component analysis. ░
░ ░
░ The good news û you don't need any previous experience with ░
░ SPSS. If you know the very basic statistical concepts, that ░
░ will do. ░
░ ░
░ And you don't need to be a mathematician or a statistician to take ░
░ this course (neither am I). This course was ░
░ especially conceived for people who are not ░
░ professional mathematicians û all the ░
░ statistical procedures are presented in a simple, ░
░ straightforward manner, avoiding the technical ░
░ jargon and the mathematical formulas as much as ░
░ possible. The formulas are used only when it is ░
░ absolutely necessary, and they are thoroughly ░
░ explained. ░
░ ░
░ Are you a student or a PhD candidate? An academic researcher ░
░ looking to improve your statistical analysis skills? Are you ░
░ dreaming to get a job in the statistical analysis field some ░
░ day? Are you simply passionate about quantitative analysis? This ░
░ course is for you, no doubt about it. ░
░ ░
░ Very important: this is not just an SPSS tutorial. ░
░ It does not only show you which menu to select or ░
░ which button to click in order to run some ░
░ procedure. This is a hands-on statistical analysis ░
░ course in the proper sense of the word. ░
░ ░
░ For each statistical procedure I provide the ░
░ following pieces of information: ░
░ ░
░ * a short, but comprehensive description (so you understand what ░
░ that technique can do for you) ░
░ * how to perform the procedure in SPSS (live) ░
░ * how to interpret the main output, so you can check your ░
░ hypotheses and find the answers you need for your research) ░
░ ░
░ The course contains 56 guides, presenting 56 statistical ░
░ procedures, from the simplest to the most advanced ░
░ (many similar courses out there don't go far beyond ░
░ the basics). ░
░ ░
░ The first guides are absolutely free, so you can ░
░ dive into the course right now, at no risk. And ░
░ don't forget that you have 30 full days to ░
░ evaluate it. If you are not happy, you get your ░
░ money back. ░
░ ░
░ So, what do you have to lose?




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