A gentle yet thorough introduction to Data Science, Statistics and R using real life examples
Affiliate disclosure: if you enroll through links on this page, the course provider may pay us a commission. This comes at no extra cost to you and does not influence how we describe courses.
Master key concepts and practical skills through structured learning modules. By completing this curriculum, you'll gain valuable expertise applicable to real-world scenarios.
Harness R and R packages to read, process and visualize data
Understand linear regression and use it confidently to build models
Understand the intricacies of all the different data structures in R
Use Linear regression in R to overcome the difficulties of LINEST() in Excel
Draw inferences from data and support them using tests of significance
This comprehensive Learn By Example: Statistics and Data Science in R curriculum is designed to take you from foundational concepts to advanced implementation. Each module builds upon the previous, ensuring a structured learning path that maximizes knowledge retention and practical application.
Understand what you need to succeed in this course and determine if it's the right fit for your learning goals
What you need before starting this Learn By Example: Statistics and Data Science in R course:
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Everything you need to know about this online course, from duration to certification
Course Instructor
Loony Corn
Expert instructor with industry experience
Course Language
English
All materials in English
This online course offers comprehensive training with expert instruction, practical exercises, and a certificate of completion. Join thousands of students advancing their careers through quality online education.
Professional Course
Investment around $99.99
Pricing may vary. Check the course provider for current promotions and exact pricing.
Affiliate disclosure: if you enroll through links on this page, the course provider may pay us a commission. This comes at no extra cost to you and does not influence how we describe courses.
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