Complete Guide to Calculus Foundations for Data Science
With Megan Silvey
Liked by 88 users
Duration: 10h 56m
Skill level: Intermediate
Released: 4/21/2025
Course details
Description
What is this course about?
This course covers the essentials of calculus, focusing on limits, derivatives, and integrals.. With practical explanations and examples, instructor Megan Silvey guides you through the core concepts and skills required to work with functions, limits, derivatives, continuity, and integrals—just like a traditional university-level course. Along the way, develop a thorough understanding of limits, derivatives, and integrals and how to successfully perform calculations with each. This course is an ideal fit for data scientists and data professionals seeking to advance their knowledge of the tools used in their profession and develop a deeper understanding of the mathematical science that drives the world of data.Objectives
What will I be able to do by the end of this course?
- Evaluate limits of various functions, including polynomial, rational, trigonometric, logarithmic, and exponential functions, using multiple techniques such as direct substitution, factoring, and the squeeze theorem.
- Demonstrate proficiency in finding the derivatives of common functions and applying differentiation rules—including the product, quotient, chain, and power rules—to efficiently calculate derivatives.
- Analyze the behavior of functions using derivatives, including finding extreme values, applying the Mean Value Theorem, solving optimization and related rates problems, and using techniques such as linear approximations, L'Hôpital's Rule, and Newton's Method.
- Practice integration techniques, such as substitution, integration by parts, and partial fraction decomposition, to evaluate both indefinite and definite integrals of various function types.
- Apply integral calculus to solve real-world problems, including calculating areas between curves, volumes of solids, arc lengths, and solving problems related to work, energy, and probability.
Audience
Who is this course for?
- Data scientists and data professionals (and those in training) who want to develop a deeper understanding of the math behind data
Skills you’ll gain
Earn a sharable certificate
Share what you’ve learned, and be a standout professional in your desired industry with a certificate showcasing your knowledge gained from the course.
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Showcase on your LinkedIn profile under “Licenses and Certificate” section
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Download or print out as PDF to share with others
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Share as image online to demonstrate your skill
Meet the instructor
Learner reviews
Contents
What’s included
- Test your knowledge 15 quizzes
- Learn on the go Access on tablet and phone
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