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Quality Score

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Overall Score : 98 / 100

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Course Description

This introductory course is for SAS software users who perform statistical analyses using SAS/STAT software. The focus is on t tests, ANOVA, and linear regression, and includes a brief introduction to logistic regression.

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Instructor Details

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Jordan Bakerman holds a Ph.D. in statistics from North Carolina State University. His dissertation centered on using social media to forecast real world events, such as civil unrest and influenza rates. As an intern at SAS, Jordan wrote the SAS Programming for R Users course for students to efficiently transition from the R to SAS using a cookbook style approach. As an employee, Jordan has developed courses demonstrating how to integrate open source software within SAS products. He is passionate about statistics, programming, and helping others become better statisticians.

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Reviews

4.9

10 total reviews

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By Tuhin on 2-Sep-19

jl

By Christopher W on 29-Oct-19

best course to learn n rewind concepts. helped me at lot for my placement preparations

By Amlan D on 29-Oct-19

Intense introduction to SAS/STAT using SAS Studio,

By Yinan W on 30-Aug-19

Very good course

By Ruan P R T on 2-Aug-19

Excellent presentation.

By Wei F on 19-Jul-19

It's a course which requires lot of focus.

By Pranas B on 5-Jul-19

Muy buen curso. Aunque la traducción podría ayudar mucho más

By Qinzhe Z on 1-Jul-19

This course is really fantastic!I love SAS, and I love analysisHope this will help me in my Ph. D studying career

By Sam S on 21-Jul-19

Good Course

By Michael B on 5-Sep-19

The best course for statistics I've ever seen. I've learned statistics here not in university. Big like to all those people provide this valuable course for us. Thanks a million.