DataCamp

Modeling with Data in the Tidyverse

Mathematics and Statistics

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Short Description

Discover different types in data modeling, including for prediction, and learn how to conduct linear regression and model assessment measures in the Tidyverse.

Long Description

This course focuses on the principles and techniques of data modeling. The objective is to develop models that capture the relationship between an outcome variable and a set of explanatory or predictor variables. These models serve both explanatory and predictive purposes. For instance, they can be used to understand the impact of professors' ages on their teaching evaluation scores or to predict house prices based on factors like size and condition. Throughout the course, you will apply your skills in the tidyverse framework to construct and interpret these models. The emphasis is on linear regression, which is widely used and easily comprehensible. Linear regression is a fundamental approach to modeling that finds applications in various fields, including statistics, causal inference, machine learning, and artificial intelligence. By mastering this modeling technique, you will gain valuable insights applicable across diverse domains.

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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.
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