Duke University

Data Science Math Skills

Taught in English

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448,177 already enrolled

Course

Gain insight into a topic and learn the fundamentals

Daniel Egger
Paul Bendich

Instructors: Daniel Egger

4.5

(11,687 reviews)

Beginner level
No prior experience required
13 hours to complete
3 weeks at 4 hours a week
Flexible schedule
Learn at your own pace

Details to know

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Assessments

14 quizzes

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There are 5 modules in this course

This short module includes an overview of the course's structure, working process, and information about course certificates, quizzes, video lectures, and other important course details. Make sure to read it right away and refer back to it whenever needed

What's included

1 video2 readings

This module contains three lessons that are build to basic math vocabulary. The first lesson, "Sets and What They’re Good For," walks you through the basic notions of set theory, including unions, intersections, and cardinality. It also gives a real-world application to medical testing. The second lesson, "The Infinite World of Real Numbers," explains notation we use to discuss intervals on the real number line. The module concludes with the third lesson, "That Jagged S Symbol," where you will learn how to compactly express a long series of additions and use this skill to define statistical quantities like mean and variance.

What's included

10 videos4 readings4 quizzes

This module builds vocabulary for graphing functions in the plane. In the first lesson, "Descartes Was Really Smart," you will get to know the Cartesian Plane, measure distance in it, and find the equations of lines. The second lesson introduces the idea of a function as an input-output machine, shows you how to graph functions in the Cartesian Plane, and goes over important vocabulary.

What's included

8 videos3 readings3 quizzes

This module begins a very gentle introduction to the calculus concept of the derivative. The first lesson, "This is About the Derivative Stuff," will give basic definitions, work a few examples, and show you how to apply these concepts to the real-world problem of optimization. We then turn to exponents and logarithms, and explain the rules and notation for these math tools. Finally we learn about the rate of change of continuous growth, and the special constant known as “e” that captures this concept in a single number—near 2.718.

What's included

7 videos3 readings3 quizzes

This module introduces the vocabulary and notation of probability theory – mathematics for the study of outcomes that are uncertain but have predictable rates of occurrence. We start with the basic definitions and rules of probability, including the probability of two or more events both occurring, the sum rule and the product rule, and then proceed to Bayes’ Theorem and how it is used in practical problems.

What's included

8 videos4 readings4 quizzes

Instructors

Instructor ratings
4.5 (3,310 ratings)
Daniel Egger
Duke University
8 Courses1,131,683 learners
Paul Bendich
Duke University
2 Courses448,277 learners

Offered by

Duke University

Recommended if you're interested in Math and Logic

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4.5

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