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Overall Score : 88 / 100
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Course Description
Data science courses contain mathno 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 precalculus. Data Science Math Skills introduces the core math that data science is built upon, with no extra complexity, introducing unfamiliar ideas and math symbols oneatatime. 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 xy 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!
Instructor Details
 4.4 Rating
 144 Reviews
Daniel Egger
Daniel Egger has more than seventeen years experience creating new software products and services, as founder and CEO of a series of venturebacked information technology companies, and as Managing Partner in a venture capital fund. Egger is Executive in Residence in Duke University's Master of Engineering Management Program and has taught courses in entrepreneurship and venture capital at Duke since 2003. He was formerly the Howard Johnson Foundation EntrepreneurinResidence in Duke's Markets and Management Program for undergraduates.
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