Inference for Numerical Data in R

Mathematics and Statistics

Short Description

In this course you'll learn techniques for performing statistical inference on numerical data.

Long Description

This course offers comprehensive instruction on utilizing statistical techniques to draw inferences and make estimations based on numerical data. It employs two distinct approaches to these fundamental tasks. The first approach employs bootstrapping and permutation methods to generate resample-based tests and confidence intervals. The second approach relies on theoretical findings and the t-distribution to achieve comparable outcomes. Throughout the course, you will acquire the knowledge and skills necessary to proficiently conduct t-tests, construct confidence intervals, and perform ANOVA analyses.

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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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