Calculus through Data & Modeling: Limits & Derivatives (Coursera)

Calculus through Data & Modeling: Limits & Derivatives (Coursera)

This first course on concepts of single variable calculus will introduce the notions of limits of a function to define the derivative of a function. In mathematics, the derivative measures the sensitivity to change of the function. For example, the derivative of the position of a moving object with respect to time is the object's velocity: this measures how quickly the position of the object changes when time advances. This fundamental notion will be applied through the modelling and analysis of data.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

Course 2 of 4 in the Differential Calculus through Data and Modeling Specialization

Syllabus

WEEK 1
The Limit of a Function
One of the goals in studying Calculus is to analyze rates of change and movement. In this module, we introduce the central ideas which will help us achieve this goal: the notions of the limit and the derivative. Rather than evaluating a function at a single point, the limit allows for the study of the behavior of a function in an interval around that point. In this module, you will find limits of functions by a variety of methods, both visually and algebraically. Finally, we will apply limits to define the key idea of Differentiable Calculus, the derivative.

WEEK 2
The Limit Laws
Using calculators or graphs is an imprecise way to find the limit of a function. In this module, we will state and use algebraic properties of limits, called the Limit Laws, to calculate the exact values of limits. A solid understanding of these laws will allow us to derive theorems which in turn can be used to study the behavior of more advanced functions.

WEEK 3
Continuity
In the last module, there were several types of functions where the limit of a function as x approaches a number could be found by simply calculating the value of the function at the number. Functions with this property will be called continuous and in this module, we use limits to define continuity. We will see that the mathematical definition of continuity will correspond closely with the English meaning of the word continuity used in every day language.

WEEK 4
Limits at Infinity
In this module, we allow for x to become arbitrarily large in the positive or negative direction to understand the end-behaviors of functions. This will allow for the formal definition of a horizontal asymptote and to provide classifications of end-behavior of certain types of functions.

WEEK 5
Derivatives
The problem of finding the slope of the tangent line to a curve and the problem of finding the instantaneous velocity of an object both involve finding the same type of limit. This special type of limit is called the derivative and in this module, we will see that this notion of the derivative can be interpreted as a rate of change in any of the natural or social sciences or engineering.

WEEK 6
Final Project
In this final project, we will apply the tools and language of differentiable calculus to analyze trends in data. This project will focus on modelling and analyzing gender ratios in educational attainment over time in several regions of the world.

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Jugar y Aprender Matemática en aulas heterogéneas (Coursera) Coursera
Universidad Austral

Jugar y Aprender Matemática en aulas heterogéneas (Coursera)

Cuando se asume la enseñanza de la matemática con el compromiso de la participación de todos los alumnos en una comunidad de producción, en la que se resuelven problemas con distintos procedimientos, se comparan producciones, se analiza la validez de las afirmaciones que se hacen, la tarea resulta todo un desafío. En el caso del plurigrado, el desafío parece aún mayor. ¿Cómo presentar problemas que involucren en este trabajo reflexivo a niños y niñas de distintas edades y con distintos conocimientos?

Jun 8th 2026
4 Weeks
Calculus through Data & Modelling: Integration Applications (Coursera) Coursera
Johns Hopkins University

Calculus through Data & Modelling: Integration Applications (Coursera)

This course continues your study of calculus by focusing on the applications of integration. The applications in this section have many common features. First, each is an example of a quantity that is computed by evaluating a definite integral. Second, the formula for that application is derived from Riemann sums. Rather than measure rates of change as we did with differential calculus, the definite integral allows us to measure the accumulation of a quantity over some interval of input values.

Jun 8th 2026
4 Weeks
Calculus: Single Variable Part 3 - Integration (Coursera) Coursera
University of Pennsylvania

Calculus: Single Variable Part 3 - Integration (Coursera)

Calculus is one of the grandest achievements of human thought, explaining everything from planetary orbits to the optimal size of a city to the periodicity of a heartbeat. This brisk course covers the core ideas of single-variable Calculus with emphases on conceptual understanding and applications. The course is ideal for students beginning in the engineering, physical, and social sciences.

Jun 8th 2026
4 Weeks
Aprendizaje de las matemáticas de primaria (Coursera) Coursera
Universidad de los Andes

Aprendizaje de las matemáticas de primaria (Coursera)

En este segundo curso de acceso gratuito* del programa especializado Educación Matemática para profesores de primaria, conocerás las cuestiones particulares sobre el aprendizaje de las matemáticas y las dificultades y los errores más frecuentes que tienen que enfrentar los estudiantes al aprenderlas. El curso tiene una duración aproximada de seis semanas, con una dedicación promedio de 4 horas semanales. Todas las evaluaciones tienen retroalimentación y podrás descargar la mayoría de los recursos del curso.

Jun 8th 2026
5-12 Weeks
Generalized Linear Models and Nonparametric Regression (Coursera) Coursera
University of Colorado Boulder

Generalized Linear Models and Nonparametric Regression (Coursera)

In the final course of the statistical modeling for data science program, learners will study a broad set of more advanced statistical modeling tools. Such tools will include generalized linear models (GLMs), which will provide an introduction to classification (through logistic regression); nonparametric modeling, including kernel estimators, smoothing splines; and semi-parametric generalized additive models (GAMs). Emphasis will be placed on a firm conceptual understanding of these tools.

Jun 8th 2026
4 Weeks
Calculus through Data & Modelling: Techniques of Integration (Coursera) Coursera
Johns Hopkins University

Calculus through Data & Modelling: Techniques of Integration (Coursera)

In this course, we build on previously defined notions of the integral of a single-variable function over an interval. Now, we will extend our understanding of integrals to work with functions of more than one variable. First, we will learn how to integrate a real-valued multivariable function over different regions in the plane. Then, we will introduce vector functions, which assigns a point to a vector. This will prepare us for our final course in the specialization on vector calculus. Finally, we will introduce techniques to approximate definite integrals when working with discrete data and through a peer reviewed project on, apply these techniques real world problems.

Jun 8th 2026
4 Weeks
Advanced Linear Models for Data Science 2: Statistical Linear Models (Coursera) Coursera
Johns Hopkins University

Advanced Linear Models for Data Science 2: Statistical Linear Models (Coursera)

Welcome to the Advanced Linear Models for Data Science Class 2: Statistical Linear Models. This class is an introduction to least squares from a linear algebraic and mathematical perspective. Before beginning the class make sure that you have the following: a basic understanding of linear algebra and multivariate calculus; a basic understanding of statistics and regression models; at least a little familiarity with proof based mathematics; basic knowledge of the R programming language.

Jun 8th 2026
4 Weeks
Calculus: Single Variable Part 4 - Applications (Coursera) Coursera
University of Pennsylvania

Calculus: Single Variable Part 4 - Applications (Coursera)

Calculus is one of the grandest achievements of human thought, explaining everything from planetary orbits to the optimal size of a city to the periodicity of a heartbeat. This brisk course covers the core ideas of single-variable Calculus with emphases on conceptual understanding and applications. The course is ideal for students beginning in the engineering, physical, and social sciences.

Jun 8th 2026
5-12 Weeks