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学生对 杜克大学 提供的 Data Science Math Skills 的评价和反馈

2,095 个评分
466 个审阅


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!...



Jan 12, 2019

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)


Jul 23, 2017

This is neat little course to revise math fundamentals. I generally find learning probability a little tricky. This course helped me a lot in better understanding Bayes Theorem. Thank you professors.


251 - Data Science Math Skills 的 275 个评论(共 458 个)

创建者 Herbaut J P M

Jul 14, 2019

Great expérience for me.

Thanks You

Herbaut Julien

创建者 Juan N R B

Sep 05, 2019

Excellent! Very useful and simple to understand!

创建者 MaheshKrishna C

Sep 18, 2019

Good Content and well Structured

创建者 Samuel J

Oct 04, 2019

I am a high school sophomore and I loved this course. I learned so much in a short period of time. Now I want to go into data science as a career. Thank you!

创建者 Alieldin R

Oct 14, 2019

The course was very good and well thought of, a great refresher for very important concepts, the instructors are very good at simplifying the material and making it very understandable.

创建者 Mahnaz K

Oct 22, 2019

The course overall was great. So much math was covered that it is hard to believe it was all done in 4-5 weeks required to complete the course. It was well taught-- very relevant and clear for the most part. I have had all this math in the past so I had a frame of reference but without it I think it would be hard to follow. Having said that, I found the Probability lectures hard to follow. It seemed you need to know a lot of probability theory beforehand. Also the videos were too short in this sections and went very fast. The videos need to be 20-25 minutes with more examples. The quizzes in this section were the hardest because not many examples were given in the lecture. Overall though I feel accomplished and feel I can tackle the math that comes my way when I pursue my data science degree. Thank you for putting together a course with the background math needed for data science.

创建者 Yan T

Nov 01, 2019

Great course brushing off math skills with quiz in the end of each module. The last module is the most difficult, it'll be better if more examples be demonstrated. Good pace and a good course for those who need to get an idea of some topics.

创建者 Abhishek R

Nov 07, 2019

Every part covered gives a good introduction to the world of data science as intended. However in my personal opinion the part on probability was covered a bit hastily, though the quizzes will force you get some in-depth understanding

创建者 Francine S

Nov 09, 2019

Step by step course! Perfect for beginners. I highly recommend it.

创建者 Vivien P

Nov 28, 2018

Great course to be back on tracks with mathematics and probability.

创建者 Luan d S

Dec 30, 2018

It's a excellent course with all of the basic concepts to start in the Data Science World.

Great regards and thank you for the course.

创建者 Augustine Y

Dec 30, 2018

Introduction to the basic knowledge preparation of college level math.

创建者 Carlos V

Feb 18, 2019









































in the past and also asses some voids in our knowledge of calculus and probability. Thanks!!!!

创建者 Ahmed O B

Feb 07, 2019

More exerciser required. Specially in probabilities theorem

创建者 Aman G

Mar 20, 2019

The course is well structured and good for the newbies and the ones who are not from mathematics background.

创建者 Eugenio E C S

Mar 19, 2019

The first half it was great. After that I felt really confused with the probability examples and the exercises was really tricky. Besides of that, it's a good course.

创建者 Warunee S

Jan 27, 2019

Great course

创建者 宋雅风

Jan 08, 2019

A very basic introduction of math. You can use this course to recap the relative knowledges

创建者 Marc P

Mar 09, 2019

Good intro or refresher, but needs more concrete examples in the probability theory section.

创建者 Soumya R R

Mar 11, 2019

Too good content and practice sessions.

创建者 Ashish K S

Mar 11, 2019


创建者 Raghu R P

Jul 11, 2018

Very good refresher course on Probability

创建者 Sandy H S H

Sep 25, 2018

Great course for beginner. But this course need some improvement at week 4 material!

创建者 Claudio C

Oct 19, 2018

Very useful to review some math basics that everybody forgets after school. Interesting the part on baesyan probability which I only knew on a game theory point of view

创建者 Hein Z

Nov 06, 2018

Nice start math for Data Science