Statistical Concepts Explained and Applied in R
Coupon Verified on February 25th, 2025
Course Name : Statistical Concepts Explained and Applied in R
Students : 16.7K+
Duration : 5.5 hrs
Avg Rating : 4.7
Original Price : $119.99
Discount Price : 100%OFF
Instructor / Provider : Udemy
Course Type : Self Paced Online Course. Lifetime Access
Coupon : Click on ENROLL NOW to apply discount code
What you’ll learn
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Thorough understanding of basic and advanced statistical theory
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How to perform simple and advanced statistical analyses in R
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How to fully and correctly interpret the results
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How to correctly present the results in papers or reports
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How to get reproducible results with every type of analysis carried out in the course
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How to make accurate predictions based on your regression results
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How to deal with real issues in statistical modeling
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The concepts are made simple and the understanding about them is at an advanced level once you finish the course
Who this course is for:
- Undergraduate/graduate/academic scholars/managers who wish to perform a statistical analysis from beginning to end
- Anyone who is serious about a job involving statistical analyses
- Beginner-level students interested in the correct appliances of statistical analyses from theory to completed analysis
Deal Score0
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FAQs on Udemy Coupon
Are there any limitations to access udemy coupon Code?
Yes, Statistical Concepts Explained and Applied in R coupon code is valid for the first 1,000 enrollments or for 30 days, whichever comes first. After that, the coupon will expire.
Is Statistical Concepts Explained and Applied in R free download available?
No, you cannot download Udemy course directly from the website. However, Udemy’s mobile app for iOS and Android allows you to download courses for offline viewing within the app.
Can I get a refund for the Statistical Concepts Explained and Applied in R course, If I purchased with a coupon?
Yes, Udemy offers a 30-day money-back guarantee for all courses purchased on the website, even if you used a coupon to purchase the course.
