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Data Science Math Skills

Coursera · Duke University · 2 HN comments

HN Academy has aggregated all Hacker News stories and comments that mention Coursera's "Data Science Math Skills" from Duke University.
Course Description

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!

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Provider Info
This course is offered by Duke University on the Coursera platform.
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Hacker News Stories and Comments

All the comments and stories posted to Hacker News that reference this url.
If you're looking for books, have a look at Schaum's Outline of Precalculus [0]. Khan Academy [1] is also good and there's this MOOC on coursera called Data Science Math Skills [2].




Coincidentally, today is the first day for the coursera course 'Data Science Math Skills'[1]. I've signed up. Hopefully this is what we are looking for.


Thanks for the link. The last two weeks of the course pique my interest esp. the "Introduction to Probability Theory" section. Is this apart of a sequence of courses in data science? It wasn't clear to me if this is a standalone course or apart of a larger sequence.
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