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學生對 杜克大学 提供的 Data Science Math Skills 的評價和反饋

8,683 個評分
1,966 條評論


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!...



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)


This course syllabus is great. It starts wonderfully. Week 1 to 4 is taught by Paul Bendich, and Daniel Egger the instruction is awesome. Effective way to refresh and add the Data Science math skills!


1576 - Data Science Math Skills 的 1600 個評論(共 1,947 個)

創建者 Patrick C


Insightful course. Would recommend to anyone within the field.

創建者 gouraV S


It's great pleasure to enjoy such course from respected sir's.

創建者 Habibie A


Well informed and structured sample case approach to real life

創建者 Shashank S


Good Course to understand the Maths behind Machine Learning.

創建者 Maria


Great course, but hard to understand without math background

創建者 Parth R


Last Week was bit confusing and not clear. Rest it was good.

創建者 Animesh S


Good Course. The probability section needs some improvement.

創建者 vaibhav m


probablity part could be explained more with more examples.

創建者 Selvaganapathy


very steep learning curve, but good info on lot of formulas

創建者 Ahmed O B


More exerciser required. Specially in probabilities theorem

創建者 Pratima D


The most fundamental course explained in the most easy way.

創建者 Benitta P


The Bayes theorem and binomial theorem needs more examples.

創建者 Aditya G


Would have liked a more advanced discussion on Probability.

創建者 Nilesh V


Very nice course clear all basic and intermediate concepts

創建者 sudha s


I learn so much basic topic ,so it's really helpful for me

創建者 Sonal G


Really good but wish week 4 lectures were bit more clearer

創建者 Aravindan G


It was Indeed an Amazing Experience taking up this course.

創建者 Maia M


Very interesting, but the overall acuracy is not optimum.

創建者 Khan F B


Experience was amazing, I got to learn lot of new things.

創建者 Steven Y


Could have spent more time explaining when to apply what.

創建者 纪雪丽



創建者 Sasha L


still difficult to apply the theory to real life examples

創建者 Terri B


More practice problems would have made the course easier

創建者 Jennifer M


A great fast introduction into Data Science Math Skills.

創建者 Mohamed M A M


Great course except for the instructor videos for week 4