Data Science Math Skills(으)로 돌아가기

듀크대학교의 Data Science Math Skills 학습자 리뷰 및 피드백

4.5
별점
9,329개의 평가
2,118개의 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

VS
2020년 9월 22일

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!

RS
2020년 5월 5일

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.\n\nThank you for a great class!!

필터링 기준:

Data Science Math Skills의 2,097개 리뷰 중 2001~2025

교육 기관: Rafael B

2018년 2월 24일

Lost if it is a basic or a intermediate level course.

교육 기관: Nathaniel L

2017년 12월 27일

The materials could be more advanced for data science

교육 기관: Marco A

2020년 5월 1일

This require more practical refernce to data science

교육 기관: Muhammad Z I N

2020년 6월 5일

The probability part explanation is very confusing.

교육 기관: Ashish p b

2020년 6월 30일

Instructor was not so good but questions are tough

교육 기관: Bola T

2017년 6월 2일

last week is not good at all i didn't get it all

교육 기관: Piyush G

2018년 9월 13일

Probability concepts could be more descriptive.

교육 기관: Pavel S

2020년 3월 31일

I think some basic statistics should be added

교육 기관: SHOURYA Y

2021년 3월 9일

The videos were a bit tough to understand.

교육 기관: LATIFF E

2021년 1월 23일

The teaching does not feel very intuitive.

교육 기관: Ruben L

2020년 6월 19일

La parte de probabilidad no esta muy clara

교육 기관: Shekh R

2020년 9월 18일

Give right information about the subject

교육 기관: Dixit K

2020년 4월 29일

It is good for refreshing your concepts

교육 기관: Colin X

2020년 7월 14일

Last part, part 4 needs improvement.

교육 기관: ahmed s

2019년 11월 29일

the lectures of last week r very bad

교육 기관: THOTAKURA B

2020년 8월 25일

It is not that much effective.

교육 기관: Binoy K P

2020년 7월 6일

T%his course is purely basic.

2020년 6월 19일

good course but expected more

교육 기관: Aydar A

2017년 8월 28일

too superficial to be usefull

2019년 1월 11일

1st 2 weeks were very basic.

교육 기관: Vijay G

2020년 7월 12일

Great mathematical analysis

교육 기관: Snigdha G

2020년 10월 13일

Can I get a Certificate?

교육 기관: Hugh J

2020년 9월 27일

Needs more statistics

교육 기관: Elvin G

2018년 10월 19일

It is too low level

교육 기관: Korkrid A

2018년 4월 27일

Good for beginners.