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Data Science Math Skills

Duke University via Coursera

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  • Provider Coursera
  • $ Cost Free Online Course (Audit)
  • Session Upcoming
  • Language English
  • Certificate Paid Certificate Available
  • Start Date
  • Duration 4 weeks long

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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!

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Reviews for Coursera's Data Science Math Skills
3.0 Based on 2 reviews

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  • 1
Benjamin P
4.0 2 months ago
by Benjamin completed this course, spending 15 hours a week on it and found the course difficulty to be medium.
Summary of Course Review:

I was fairly satisfied with the course as an introduction to the math for data science specifically and given there aren't many math courses built specifically for an introduction to Data Science provided by a credible University and professor, I'm glad this one exists as I suspect many of the concepts studied will come up again in my studies of data science.

Course Intended Audience:

Note that this course is specifically targeted at business persons working with data scientists and people who lack the math background who would l…
Was this review helpful to you? Yes
Míša C
2.0 5 months ago
by Míša partially completed this course, spending 2 hours a week on it and found the course difficulty to be medium.
The beginning of the course was great, the first teacher explained everything slowly and thoroughly - even trivial basics, but it seems necessary in this kind of the course.

The second teacher on the other hand was explaining thing in complicated way assuming you understand everything at first sight, juggeling quickly with formulas and not explaining the background of what is happening in the formula.
Was this review helpful to you? Yes
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