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Calculus through Data & Modeling: Differentiation Rules
Coursera
Course
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Calculus through Data & Modeling: Differentiation Rules

Johns Hopkins University

This course develops rules for differentiation that simplify finding derivatives of various functions without using the limit definition.

Unknown7 weeksEnglish6,115 enrolled

About this Course

Calculus through Data & Modeling: Differentiation Rules continues the study of differentiable calculus by developing new rules for finding derivatives without having to use the limit definition directly. These differentiation rules will enable the calculation of rates of change with relative ease the derivatives of polynomials, rational functions, algebraic functions, exponential and logarithmic functions, and trigonometric and inverse trigonometric functions. Once these rules are developed, they are then applied to solve problems involving rates of change and the approximation of functions

What You'll Learn

  • Apply new differentiation rules to compute derivatives
  • Find derivatives of various functions easily
  • Solve problems related to rates of change
  • Estimate multivariable functions using differentiation rules
  • Understand applications of differentiation in modeling and data analysis

Prerequisites

  • Basic familiarity with the topic and its common terminology
  • Readiness to practice through applied exercises or case-based work

Instructors

J

Joseph W. Cutrone, PhD

Associate Teaching Professor and Director of Online Programs

Topics

Math and Logic
Data Analysis
Data Science
Calculus
Geometry
Mathematical Modeling
Algebra
Trigonometry
Applied Mathematics
Advanced Mathematics

Course Info

PlatformCoursera
LevelUnknown
PacingUnknown
PriceFree

Skills

الرياضيات والمنطق
تحليل البيانات
علوم البيانات
حساب التفاضل
الهندسة
النمذجة الرياضية
الجبر
حساب المثلثات
Applied Mathematics
Advanced Mathematics

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