À propos de ce cours
4.5
1,503 notes
349 avis
100 % en ligne

100 % en ligne

Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Dates limites flexibles

Dates limites flexibles

Réinitialisez les dates limites selon votre disponibilité.
Niveau débutant

Niveau débutant

Heures pour terminer

Approx. 15 heures pour terminer

Recommandé : Four weeks, 3-5 hours per week....
Langues disponibles

Anglais

Sous-titres : Anglais

Compétences que vous acquerrez

Bayes' TheoremBayesian ProbabilityProbabilityProbability Theory
100 % en ligne

100 % en ligne

Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Dates limites flexibles

Dates limites flexibles

Réinitialisez les dates limites selon votre disponibilité.
Niveau débutant

Niveau débutant

Heures pour terminer

Approx. 15 heures pour terminer

Recommandé : Four weeks, 3-5 hours per week....
Langues disponibles

Anglais

Sous-titres : Anglais

Programme du cours : ce que vous apprendrez dans ce cours

Semaine
1
Heures pour terminer
18 minutes pour terminer

Welcome to Data Science Math Skills

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...
Reading
1 vidéo (Total 3 min), 2 lectures
Reading2 lectures
Course Information5 min
Weekly feedback surveys10 min
Heures pour terminer
4 heures pour terminer

Building Blocks for Problem Solving

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....
Reading
10 vidéos (Total 93 min), 4 lectures, 4 quiz
Video10 vidéos
Sets - Medical Testing Example11 min
Sets - Venn Diagrams7 min
Numbers - The Real Number Line9 min
Numbers - Less-than and Greater-than6 min
Numbers - Algebra With Inequalities10 min
Numbers - Intervals and Interval Notation7 min
Sigma Notation - Introduction to Summation9 min
Sigma Notation - Simplification Rules7 min
Sigma Notation - Mean and Variance12 min
Reading4 lectures
A note about the video lectures in this lesson3 min
A note about the video lectures in this lesson10 min
A note about the video lectures in this lesson10 min
Feedback10 min
Quiz4 exercices pour s'entraîner
Practice quiz on Sets15 min
Practice quiz on the Number Line, including Inequalities25 min
Practice quiz on Simplification Rules and Sigma Notation20 min
Graded quiz on Sets, Number Line, Inequalities, Simplification, and Sigma Notation35 min
Semaine
2
Heures pour terminer
3 heures pour terminer

Functions and Graphs

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....
Reading
8 vidéos (Total 72 min), 3 lectures, 3 quiz
Video8 vidéos
Cartesian Plane - Distance Formula10 min
Cartesian Plane - Point-Slope Formula for Lines8 min
Cartesian Plane: Slope-Intercept Formula for Lines7 min
Functions - Mapping from Sets to Sets7 min
Functions - Graphing in the Cartesian Plane11 min
Functions - Increasing and Decreasing Functions10 min
Functions - Composition and Inverse10 min
Reading3 lectures
A note about the video lectures in this lesson3 min
A note about the video lectures in this lesson3 min
Feedback10 min
Quiz3 exercices pour s'entraîner
Practice quiz on the Cartesian Plane15 min
Practice quiz on Types of Functions20 min
Graded quiz on Cartesian Plane and Types of Function40 min
Semaine
3
Heures pour terminer
3 heures pour terminer

Measuring Rates of Change

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....
Reading
7 vidéos (Total 66 min), 3 lectures, 3 quiz
Video7 vidéos
Tangent Lines - The Derivative Function9 min
Using Integer Exponents7 min
Simplification Rules for Algebra using Exponents11 min
How Logarithms and Exponents are Related12 min
The Change of Base Formula4 min
The Rate of Growth of Continuous Processes11 min
Reading3 lectures
A note about the video lectures in this lesson10 min
A note about the video lectures in this lesson3 min
Feedback10 min
Quiz3 exercices pour s'entraîner
Practice quiz onTangent Lines to Functions10 min
Practice quiz on Exponents and Logarithms40 min
Graded quiz on Tangent Lines to Functions, Exponents and Logarithms45 min
Semaine
4
Heures pour terminer
3 heures pour terminer

Introduction to Probability Theory

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....
Reading
8 vidéos (Total 66 min), 4 lectures, 4 quiz
Video8 vidéos
Joint Probabilities6 min
Permutations and Combinations12 min
Using Factorial and “M choose N”6 min
The Sum Rule, Conditional Probability, and the Product Rule8 min
Bayes’ Theorem (Part 1)10 min
Bayes’ Theorem (Part 2)5 min
The Binomial Theorem and Bayes Theorem8 min
Reading4 lectures
A note about the video lectures in this lesson3 min
A note about the video lectures in this lesson3 min
A note about the video lectures in this lesson3 min
Feedback10 min
Quiz4 exercices pour s'entraîner
Practice quiz on Probability Concepts25 min
Practice quiz on Problem Solving25 min
Practice quiz on Bayes Theorem and the Binomial Theorem25 min
Probability (basic and Intermediate) Graded Quiz50 min
4.5
349 avisChevron Right
Orientation de carrière

40%

a commencé une nouvelle carrière après avoir terminé ces cours
Avantage de carrière

33%

a bénéficié d'un avantage concret dans sa carrière grâce à ce cours

Meilleurs avis

par ASJan 12th 2019

Effective way to refresh and add the Data Science math skills! Thanks a lot! At the time of the study some of the quizzes content were not rendering correctly on mobile devices (both iPad and Android)

par PSJul 23rd 2017

This is neat little course to revise math fundamentals. I generally find learning probability a little tricky. This course helped me a lot in better understanding Bayes Theorem. Thank you professors.

Enseignants

Avatar

Daniel Egger

Executive in Residence and Director, Center for Quantitative Modeling
Pratt School of Engineering, Duke University
Avatar

Paul Bendich

Assistant research professor of Mathematics; Associate Director for Curricular Engagement at the Information Initiative at Duke
Mathematics

À propos de Université Duke

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Foire Aux Questions

  • Une fois que vous êtes inscrit(e) pour un Certificat, vous pouvez accéder à toutes les vidéos de cours, et à tous les quiz et exercices de programmation (le cas échéant). Vous pouvez soumettre des devoirs à examiner par vos pairs et en examiner vous-même uniquement après le début de votre session. Si vous préférez explorer le cours sans l'acheter, vous ne serez peut-être pas en mesure d'accéder à certains devoirs.

  • Lorsque vous achetez un Certificat, vous bénéficiez d'un accès à tout le contenu du cours, y compris les devoirs notés. Lorsque vous avez terminé et réussi le cours, votre Certificat électronique est ajouté à votre page Accomplissements. À partir de cette page, vous pouvez imprimer votre Certificat ou l'ajouter à votre profil LinkedIn. Si vous souhaitez seulement lire et visualiser le contenu du cours, vous pouvez accéder gratuitement au cours en tant qu'auditeur libre.

  • No. Completion of a Coursera course does not earn you academic credit from Duke; therefore, Duke is not able to provide you with a university transcript. However, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

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