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Data Science Math Skills, Universidad Duke

4.5
1,679 calificaciones
391 revisiones

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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. Learners who complete this course will master the vocabulary, notation, concepts, and algebra rules that all data scientists must know before moving on to more advanced material. Topics include: ~Set theory, including Venn diagrams ~Properties of the real number line ~Interval notation and algebra with inequalities ~Uses for summation and Sigma notation ~Math on the Cartesian (x,y) plane, slope and distance formulas ~Graphing and describing functions and their inverses on the x-y plane, ~The concept of instantaneous rate of change and tangent lines to a curve ~Exponents, logarithms, and the natural log function. ~Probability theory, including Bayes’ theorem. While this course is intended as a general introduction to the math skills needed for data science, it can be considered a prerequisite for learners interested in the course, "Mastering Data Analysis in Excel," which is part of the Excel to MySQL Data Science Specialization. Learners who master Data Science Math Skills will be fully prepared for success with the more advanced math concepts introduced in "Mastering Data Analysis in Excel." Good luck and we hope you enjoy the course!...

Principales revisiones

por AS

Jan 12, 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)

por PS

Jul 23, 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.

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384 revisiones

por Aftab Ahmad

Mar 20, 2019

This course is really helpful to data science student.I was very weak in probability and statistics but this course really polish my skills.

por Aman Garg

Mar 20, 2019

The course is well structured and good for the newbies and the ones who are not from mathematics background.

por Eugenio Enrique Contreras Sanchez

Mar 19, 2019

The first half it was great. After that I felt really confused with the probability examples and the exercises was really tricky. Besides of that, it's a good course.

por rinki bansal

Mar 12, 2019

Very good course

por Ashish Krishan Sharma

Mar 11, 2019

better

por Amit kumar meena

Mar 11, 2019

good

por Soumya Ranjan Rath

Mar 11, 2019

Too good content and practice sessions.

por Manish Pradhan

Mar 11, 2019

This is awesome in refreshing your math skills

por Shin Jae Hyeong

Mar 10, 2019

good working man

por Marc Porlier

Mar 09, 2019

Good intro or refresher, but needs more concrete examples in the probability theory section.