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Data Science Math Skills(으)로 돌아가기

듀크대학교의 Data Science Math Skills 학습자 리뷰 및 피드백

4.5
stars
2,205개의 평가
491개의 리뷰

강좌 소개

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!...

최상위 리뷰

AS

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)

PS

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.

필터링 기준:

Data Science Math Skills의 482개 리뷰 중 401~425

교육 기관: Raghu R P

Jul 11, 2018

Very good refresher course on Probability

교육 기관: Amir G

Jul 12, 2019

Nice but It was obvious and easy stuff.

교육 기관: Soumya R R

Mar 11, 2019

Too good content and practice sessions.

교육 기관: Hein Z

Nov 06, 2018

Nice start math for Data Science

교육 기관: 郑昕妍

May 06, 2017

very coherent class! Thank you!

교육 기관: saurabh

Nov 22, 2019

Please send the certificate

교육 기관: Vincent S

Sep 24, 2019

No answers for some tests

교육 기관: Jamal R

Apr 10, 2018

improve week 4 videos

교육 기관: Hans H

Aug 21, 2017

Overall good refresh

교육 기관: Шмаков А А

Aug 18, 2019

Для совсем новичков

교육 기관: Kiran M

May 05, 2018

A beginner's course

교육 기관: Daniel C

Sep 11, 2017

Very useful course

교육 기관: Anshul D

May 05, 2017

Very good course

교육 기관: Satyam G

Dec 07, 2017

way too simple.

교육 기관: Hector V

Aug 12, 2017

So far so good.

교육 기관: tubay g e

Nov 03, 2017

perfect course

교육 기관: Warunee S

Jan 27, 2019

Great course

교육 기관: Srikanth R

Jul 10, 2019

It was goos

교육 기관: TIRUMALANADHUNI P K

May 28, 2018

excellent

교육 기관: Satyam T

Jan 22, 2017

nice one!

교육 기관: Ashish K S

Mar 11, 2019

better

교육 기관: aankitakaur

Aug 29, 2017

Thanks

교육 기관: Amin A

Sep 04, 2019

.

교육 기관: Nagaraj A M

May 09, 2019

.

교육 기관: Susmito R

Jul 13, 2019

The first two weeks of the course were great! The instructor was very clear in his explanations and made the material very intuitive. The video companion pdf's were also very well written. But from the third week onward, when the other instructor took over, not only did the explanations suffer significantly, the video companion material also ceased to be of much help. He did not explain any of the intuition behind any of the formulas and he didn't even try to explain the intuition behind when and where the formulas would apply. I didn't take this course just to be given a bunch of formulas. I really wanted to understand the material because I knew these are foundational concepts that needed to be mastered. Khan Academy explains a lot of the material of weeks 3 and 4 much better. I really wish someone had explained how the version of the binomial theorem that was presented in this course is related to the traditional version that we learned in school while doing binomial expansions in algebra.