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.
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Data Science Math Skills
Duke UniversityÜber diesen Kurs
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- Bayes' Theorem
- Bayesian Probability
- Probability
- Probability Theory
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Probieren Sie Coursera for Business ausLehrplan - Was Sie in diesem Kurs lernen werden
Welcome to Data Science Math Skills
Building Blocks for Problem Solving
Functions and Graphs
Measuring Rates of Change
Introduction to Probability Theory
Bewertungen
- 5 stars63,79 %
- 4 stars28,01 %
- 3 stars5,77 %
- 2 stars1,60 %
- 1 star0,81 %
Top-Bewertungen von DATA SCIENCE MATH SKILLS
Great refresher and primer. The section on Probability and Bayes Theory needs a lot more support material (video and notes) as it can get tricky and abstract, especially when doing the quizzes.
Please include integration, algorithm analysis (big O, theta, omega), recursion and induction. Your course is helpful, thank you. If you add those things I've mentioned it would be absolute gold.
I thought this course was a nice refresher on basic mathematical concepts and it introduced me to set theory and probability very well! I think I am better prepared for data science afterward!
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!!
Häufig gestellte Fragen
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Was bekomme ich, wenn ich das Zertifikat erwerbe?
Ist finanzielle Unterstützung möglich?
Will I receive a transcript from Duke University for completing this course?
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