Home

Learning Statistics: Concepts and Applications in R

Learning Statistics: Concepts and Applications in R

Learning Statistics: Concepts and Applications in R

Taught by Professor Talithia Williams of Harvey Mudd College, this course surveys college-level statistics through dozens of exercises conducted in R, a free statistical programming language with millions of users worldwide. From describing and visualizing the data you have, to methods such as ANOVA and multiple regression for reaching broader inferences, you learn the most widely used statistical measures, concepts, and techniques.

Price
Paid
Platform
Great Courses
Categories
Mathematics Applied Mathematics Mathematical Theory
Learn More

Related Courses

Explore similar courses.

R for Everyone: Advanced Analytics and Graphics

R for Everyone: Advanced Analytics and Graphics

Using the open source R language, you can build powerful statistical models to answer many of your most challenging questions. R has traditionally been difficult for non-statisticians to learn, and most R books assume far too much knowledge to be of help. R for Everyone is the solution. Drawing on his unsurpassed experience teaching new users, professional data scientist Jared P. Lander has written the perfect tutorial for anyone new to statistical programming and modeling.

InformIT Learn more
Digital Marketing Certification Training

Digital Marketing Certification Training

A self-paced course that helps you to understand the various Statistical Techniques from the very basics and how each technique is employed on a real world data set to analyze and conclude insights. Statistics and its methods are the backend of Data Science to 'understand, analyze and predict actual phenomena'. Machine learning employs different techniques and theories drawn from statistical & probabilistic fields.

Edureka Learn more

Get the latest news!