Retour à Data Science Math Skills

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

4.5
étoiles
10,297 évaluations
2,294 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)

RS

5 mai 2020

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!!

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## 2126 - 2150 sur 2,295 Avis pour Data Science Math Skills

par Juan T

17 août 2021

Extremely basic at start and then ramp up too fast. Videos of the 3rd and 4th week were poorly descriptive and add little or no concepts

par Stephanie M

5 juil. 2020

Modules 1-3 were great. But the 4th module on probability was not only very difficult but I finished the course still not understanding.

par Antonio M H

7 févr. 2019

The material covered was very useful for a beginner/intermediate course, however, the style of the presenters was not always very clear.

par Maximilian T

16 déc. 2021

pretty ok - don't know if thats the math you need for data science... The last part about probabilities was quite interesting for me.

par Michael O

22 avr. 2021

First two weeks are excellent but the last two are difficult to follow with little assistance to make it easier to understand.

par Leon L

12 déc. 2017

it's the foundation for data science, but these contents are too simple. I think it's not enough for a good data analyst.

par Shah F

5 juil. 2020

Statistics and probability part is a bit difficult to grasp.

Anything that can be done to make it easier would be great.

par phung s

16 mars 2021

Probability and Function sections are too hard to understand

Exercise is sometimes so confused and seems wrong answers

par Martino V

29 mai 2017

a good selection of topics, but way too formula based rather than understanding based, especially in the second half.

par Felix H

30 mars 2020

Some of the quiz questions have mathematical errors (e.g. inside of a log cannot be negative) or are quite unclear.

par Hunain K

8 sept. 2021

I THINK MATHS PROBLEMS SHOULD BE MORE . THERE WERE LESS PRACTISE PROBLEMS . HOPEFULLY YOU WILL GET TO KNOW THIS.

par Dipyaman G

23 juil. 2021

The final course on Probability can definitely be reworked upon. Otherwise, the entire module was pretty good.

par Manish G

26 sept. 2019

The last module could have been done better. More examples to be included for explaining probability problems.

par L J

15 août 2020

the first two weeks were brilliant, but I had a really hard time comprehending the 3rd and 4th week material.

par Paola G

15 août 2020

Thee explanation of week 4 was not comprehensive and the quizzes were too complicated for what was covered.

par Ammar E M

14 avr. 2020

I notice that the quizzes questions not reflect 100% to what we got already !, However, the course great

par shai z

18 juin 2020

its ok, i felt the statistical part wasnt explained well, and went from pretty easy to hard too quickly

par Garvit r

25 juin 2020

i am giving 3 star just because of professor efforts .Difficulty level of this course is not of level

par Ethan R

12 mai 2021

Goes through the basics, but the last part with the most important information was not very helpful.

par Hariti A

27 avr. 2020

Some points in probability was not clear and doesn't been explicit.

par kavya

23 sept. 2020

I completed the Course but I didn't receive certificate..

Good to understand it's useful for us

par Zarmeen S

11 juil. 2020

The course should be improved from last topics with simple examples. It was good at the start.

par M

5 nov. 2020

The course might not be entirely introductory. Part of it was breezed through very quickly.

par Wasin W

7 juin 2020

In first 3 week, i learned berfore, so i can understand.

In last weeks, it is new knowledge.

par Michał F

30 août 2017

Basics knowledge, i liked first part about functions, but second was not quite good for me.