Linear Algebra for Data Science in R

Mathematics and Statistics

Short Description

This course is an introduction to linear algebra, one of the most important mathematical topics underpinning data science.

Long Description

Linear algebra is a fundamental and indispensable set of tools extensively utilized in the fields of applied mathematics and data science. This course aims to equip you with the necessary skills to effectively manipulate vectors and matrices, solve matrix-vector equations, conduct eigenvalue/eigenvector analyses, and employ principal component analysis for dimension reduction on real-world datasets. Throughout the course, all analyses will be conducted using R, a highly renowned and widely adopted programming language globally.

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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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