Data science courses contain math—no avoiding that! This course is designed to teach learners the basic math you will need in order to be successful in almost any data science math course and was created for learners who have basic math skills but may not have taken algebra or pre-calculus. Data Science Math Skills introduces the core math that data science is built upon, with no extra complexity, introducing unfamiliar ideas and math symbols one-at-a-time.
Data Science Math Skills
Université DukeÀ propos de ce cours
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Résultats de carrière des étudiants
35%
ont commencé une nouvelle carrière après avoir terminé ce cours
30%
ont bénéficié d'un avantage concret dans leur carrières grâce à ce cours
Certificat partageable
Obtenez un Certificat lorsque vous terminez
100 % en ligne
Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Dates limites flexibles
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Niveau débutant
Approx. 13 heures pour terminer
Anglais
Sous-titres : Français, Portugais (brésilien), Russe, Anglais, Espagnol
Compétences que vous acquerrez
Bayes' TheoremBayesian ProbabilityProbabilityProbability Theory
Résultats de carrière des étudiants
35%
ont commencé une nouvelle carrière après avoir terminé ce cours
30%
ont bénéficié d'un avantage concret dans leur carrières grâce à ce cours
Certificat partageable
Obtenez un Certificat lorsque vous terminez
100 % en ligne
Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Dates limites flexibles
Réinitialisez les dates limites selon votre disponibilité.
Niveau débutant
Approx. 13 heures pour terminer
Anglais
Sous-titres : Français, Portugais (brésilien), Russe, Anglais, Espagnol
Offert par
Université Duke
Duke University has about 13,000 undergraduate and graduate students and a world-class faculty helping to expand the frontiers of knowledge. The university has a strong commitment to applying knowledge in service to society, both near its North Carolina campus and around the world.
Programme du cours : ce que vous apprendrez dans ce cours
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
18 minutes pour terminer
1 vidéo (Total 3 min), 2 lectures
1 vidéo
2 lectures
Course Information5 min
Weekly feedback surveys10 min
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.
4 heures pour terminer
10 vidéos (Total 93 min), 4 lectures, 4 quiz
10 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
4 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
4 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
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.
3 heures pour terminer
8 vidéos (Total 72 min), 3 lectures, 3 quiz
8 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
3 lectures
A note about the video lectures in this lesson3 min
A note about the video lectures in this lesson3 min
Feedback10 min
3 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
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.
3 heures pour terminer
7 vidéos (Total 66 min), 3 lectures, 3 quiz
7 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
3 lectures
A note about the video lectures in this lesson10 min
A note about the video lectures in this lesson3 min
Feedback10 min
3 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
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.
3 heures pour terminer
8 vidéos (Total 66 min), 4 lectures, 4 quiz
8 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
4 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
4 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
Avis
Meilleurs avis pour DATA SCIENCE MATH SKILLS
par VC16 mai 2020
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 VS22 sept. 2020
This course syllabus is great. It starts wonderfully. Week 1 to 4 is taught by Paul Bendich, and Daniel Egger the instruction is awesome. Effective way to refresh and add the Data Science math skills!
par RS5 mai 2020
This was mostly review for me though probability especially Beyes Theorem derivation was new. The instructors provided clear often refreshing ways to look at material. Thank you for a great class!!
par AS11 janv. 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)
Foire Aux Questions
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À quoi ai-je droit si j'achète le Certificat ?
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Will I receive a transcript from Duke University for completing this course?
Puis-je obtenir des crédits universitaires si je réussis le Cours ?
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