Precalculus: Relations and Functions
Master essential function concepts and their applications in data modeling. Perfect foundation for future calculus and science courses.
Master essential function concepts and their applications in data modeling. Perfect foundation for future calculus and science courses.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Precalculus through Data and Modelling Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
4.7
(199 ratings)
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What you'll learn
Model data using single and multivariable functions
Visualize and analyze data using different technologies
Understand and apply properties of different function types
Perform vector operations to analyze geometry in space
Skills you'll gain
This course includes:
3.35 Hours PreRecorded video
9 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
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There are 4 modules in this course
This comprehensive course builds foundational material for using mathematics as a modeling tool. Students learn about various functions, their properties, and applications to data analysis. The curriculum covers basic functions, linear and quadratic equations, exponential and logarithmic functions, and their real-world applications. The course emphasizes practical skills through real-life data examples and regular assessments.
Basics and Common Functions
Module 1 · 2 Hours to complete
Equations of Lines, Quadratics, and More Functions
Module 2 · 3 Hours to complete
Exponential and Logarithmic Functions
Module 3 · 2 Hours to complete
Properties of Logarithms
Module 4 · 1 Hours to complete
Fee Structure
Instructor
Associate Teaching Professor and Director of Online Programs at Johns Hopkins University
Dr. Joseph W. Cutrone is an Associate Teaching Professor and the Director of Online Programs at Johns Hopkins University, where he specializes in mathematics education. He earned his PhD in Mathematics from Johns Hopkins University, with research interests focused on higher-dimensional algebraic geometry. Since 2006, Dr. Cutrone has taught mathematics at various levels, both online and in traditional classroom settings, holding positions at Johns Hopkins, Northwestern University, Towson University, and Goucher College. His commitment to education is reflected in his extensive teaching portfolio, which includes courses such as Algebra, Applied Calculus with Python, and Linear Algebra. Dr. Cutrone is also active in online education, contributing to platforms like Coursera. His scholarly work includes several publications on topics related to algebraic geometry and has been recognized for its impact within the mathematical community.
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4.7 course rating
199 ratings
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