Inference for Categorical Data in R

Mathematics and Statistics

Short Description

In this course you'll learn how to leverage statistical techniques for working with categorical data.

Long Description

Categorical data is pervasive in various domains, including opinion polling, genomics research, and the vast datasets amassed by internet companies for targeted product marketing. This course aims to equip you with the skills to effectively analyze such data, enabling you to distinguish meaningful patterns from random noise. You will acquire valuable techniques for discerning when the structure within categorical data signifies noteworthy phenomena, ensuring you can make informed and insightful interpretations.

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Course Details

Duration: 4 hours
Format: Short Course
Price: USD39.00
Course Link

DataCamp

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.

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