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Applied Statistical Modeling for Data Analysis in R

Develop essential life sciences skills with expert instruction and practical examples.

Online Course
Self-paced learning
Flexible Schedule
Learn at your pace
Expert Instructor
Industry professional
Certificate
Upon completion
What You'll Learn
Master the fundamentals of life sciences
Apply best practices and industry standards
Build practical projects to demonstrate your skills
Understand advanced concepts and techniques

Skills you'll gain:

Professional SkillsBest PracticesIndustry Standards
Prerequisites & Target Audience

Skill Level

IntermediateSome prior knowledge recommended

Requirements

Basic understanding of life sciences
Enthusiasm to learn
Access to necessary software/tools
Commitment to practice

Who This Course Is For

Professionals working in life sciences
Students and career changers
Freelancers and consultants
Anyone looking to improve their skills
Course Information

About This Course

APPLIED STATISTICAL MODELING FOR DATA ANALYSIS IN RCOMPLETE GUIDE TO STATISTICAL DATA ANALYSIS & VISUALIZATION FOR PRACTICAL APPLICATIONS IN R Confounded by Confidence Intervals. Pondering Over p-values. Hankering Over Hypothesis Testing.

Hello, My name is Minerva Singh and I am an Oxford University MPhil (Geography and Environment) graduate. I recently finished a PhD at Cambridge University (Tropical Ecology and Conservation). I have several years of experience in analyzing real-life data from different sources using statistical modelling and producing publications for international peer-reviewed journals.

If you find statistics books & manuals too vague, expensive & not practical, then you're going to love this course. I created this course to take you by hand teach you all the concepts, and take your statistical modelling from basic to an advanced level for practical data analysis. With this course, I want to help you save time and learn what the arcane statistical concepts have to do with the actual analysis of data and the interpretation of the bespoke results.

Frankly, this is the only course you need to complete in order to get a head start in practical statistical modelling for data analysis using R. My course has 9. 5 hours of lectures and provides a robust foundation to carry out PRACTICAL, real-life statistical data analysis tasks in R, one of the most popular and FREE data analysis frameworks.

Provider
Udemy
Estimated Duration
10-20 hours
Language
English
Category
Science & Academia

Topics Covered

Life Sciences

Course Details

Format
Online, Self-Paced
Access
Lifetime
Certificate
Upon Completion
Support
Q&A Forum
Course Details
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This course includes:

Lifetime access to course content
Access on mobile and desktop
Certificate of completion
Downloadable resources

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