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Avis et commentaires pour d'étudiants pour Data Science Math Skills par Université Duke

4.5
étoiles
10,429 évaluations
2,326 avis

À propos du cours

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!...

Meilleurs avis

VC

16 mai 2020

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)

VS

22 sept. 2020

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!

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2276 - 2300 sur 2,328 Avis pour Data Science Math Skills

par Amanda H

26 mars 2021

The second professor isn't great. I don't think it's his fault, but a lot of information was crammed into 2 weeks and I had to do a lot of self-teaching.

par Saleem G

30 avr. 2020

Week 1 and Week 2 material is very well presented. Week 3 was presented very poorly but reading the notes and youtube helped. Week 4 went over my head

par Maria K

21 nov. 2020

Materials provided are not sufficient to fully understand the concepts. One has to look for additional books and forums on the internet.

par Jomon K S

11 mai 2020

The content of the course was simple. But the quiz were above average. The classes were not sufficient to answer the questions.

par Esaú C

25 avr. 2020

I

t's a good review for the people that know something but will be very hard for students that don't have a background in Maths

par Vaibhav J

10 févr. 2019

Found the title of the course mis-leading! School level Math skills are taught. Found the title to be similar to "click-baits"

par Hubert W A E

12 avr. 2021

It was too short, I think they must add additional mathematics course to make this program complete for Data Science needs

par Ahmed K A

13 juin 2022

I did most of the learning on my own to solve the assignment. Sadly the professors didn't prepare the material well.

par Xose C

6 avr. 2020

You'd spend lots of time checking other sources as they do not explain things in detail. They assume many things.

par Peter G

4 mars 2018

I enjoyed the first 2 weeks. Weeks 3 and 4 were harder to follow. Too few examples, particularly in week 4.

par Andersson F R A

17 mai 2020

A pesar de que el curso es básico, la parte de probabilidad no está muy bien explicada.

par Nayaung L

30 juin 2020

The last probability course is really horrible It should be changed or make it easier.

par vivek a

12 avr. 2020

The course name should be Bais Mathematics instead of Data Science Maths Skills.

par PRASAD K

23 mai 2020

Concepts from Probability up to Bayes' Theorem could have been explained better

par Saurabh S

11 juil. 2017

Week 1 and week 2 are good. rest of the weeks are very fast and not clear.

par Jonathan H

8 févr. 2017

Very basic course... probably won't teach you a lot of new things

par Kabir P

6 juil. 2022

Concepts were skipped and not explained with enough examples

par 小洋xiaoyang

27 déc. 2020

Wish there will be more example question in the lectures

par A M A

24 déc. 2017

Probability part is good others are elementary math

par Kavitha B

6 avr. 2022

did not understand bayes theorem and probabilty

par Rodrigue S

24 juin 2020

This is really basic basic.

par Derek S

29 mars 2018

last week was very hard

par Deeraj

30 avr. 2020

It's nice to learn

par Stan M

15 févr. 2021

dropped

par Kishore R

17 févr. 2022

Good