DataCamp

Experimental Design in R

Engineering and Technology

Add Bookmark Visit Course

Short Description

In this course you'll learn about basic experimental design, a crucial part of any data analysis.

Long Description

Experimental design plays a vital role in the analysis of data across various industries, including business, healthcare, and technology. To effectively utilize data for answering questions, it is essential to develop a well-designed experiment. This course aims to provide a comprehensive understanding of fundamental experimental design principles, encompassing block and factorial designs, along with commonly employed statistical tests like t-tests and ANOVAs. Throughout the course, participants will work with pre-existing R data and real-world datasets, including the CDC NHANES survey, SAT Scores from NY Public Schools, and Lending Club Loan Data. By the end of the course, individuals will possess the skills necessary to design and analyze their own experiments.

Related Courses

Course Details

Duration
4 hours
Format
Short Course
Price
USD39.00
Course Link
More Information
DataCamp
DataCamp
Description
DataCamp is an online learning platform that offers interactive courses and tutorials for data science and analytics. It provides a wide range of courses covering topics such as Python, R, SQL, machine learning, data visualization, and more. The platform offers a hands-on learning experience through coding exercises and projects, allowing users to practice and apply their skills in real-world scenarios. DataCamp also offers a personalized learning experience with adaptive learning technology that adjusts the course content based on the user's skill level and progress. It is widely used by individuals, professionals, and organizations to enhance their data science skills and stay up-to-date with the latest trends and technologies in the field.
Learn more