Retour à Data Science Math Skills

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

4.5
étoiles
10,288 évaluations
2,291 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

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!

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)

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## 2251 - 2275 sur 2,292 Avis pour Data Science Math Skills

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 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

par Mohana N

5 août 2021

E

par Eray C

25 janv. 2021

With all due respect but this was honestly the worst paid education-experience I've EVER had in my whole life! What is this?

Okay let's summarize the problems:

First of all. This course does NOT provide any useful math skills. No, in the first 3 courses, you learn a tiny piece of minimum basics of college math.

And then comes week 4....... what.. is... this... why.. Any note written on the screen looks like the drafts of college times, where we had no pleasure to even write.

It's totally hard to even understand what is being "explained" nor to even READ what is being written! It's a total loss of time and money. The only thing worth in this course is the title of the course, written on the certificate. But there absolutely NO quality behind it! I'm honestly disappointed.

Half of the quiz-questions are very misleading because of lacking a proper, clear and distinctive use of language (is this math or not???)!! The theory PDFs are okay at the beginning then get worse with each week. There is such a lack of clarity proper explanation!

please just delete this course.

PS: it seems, the discussion forum is not even touched by providers. Why? There are a ton of suggestions to improve the course. I mean... there WERE... if someone would read them to actually improve the course.

PPS: And HOW did this course get 4.5 Stars?? Makes no sense to me.

par John Z

7 mai 2021

This course was pure garbage. Though it seemed promising in the beginning, it was clearly too ambitious and poorly designed. The topics are too quickly covered, and don't build upon each other. It's a very disconnected learning experience. The probability modules are completely useless. The "instructor" just read some definitions and sloppily wrote some formulas on a virtual whiteboard. Though I appreciate the exposure to a wide array of topics, my time would have been better spent reading a book on the same concepts - an exercise I will inevitably now have to do.

par Suresh K

16 sept. 2021

T​he course is divided into 4 weeks. Topics in Week 1 and 2 are explained very well. But Week 3 and Week 4 are just useless. There is no teaching in Week 3 and Week 4, just writing down the formulas present in texbooks.

T​he reason anyone wants to take courses like this, online is to understand how the formulas shown in text books work and have a deeper understanding of the topic.

B​ut unfortunately the topics in Week 3 and Week 4 were just presented as it would appear in a text book, no teaching there.

par Katrina E

1 oct. 2020

I chose this course because it said it was for beginners but the content was extremely difficult and was not at a beginner level at all. The presenter assumed knowledge and the presenter himself made errors during his presentation and did not explain concepts well. The quiz was very difficult to attempt because the questions often went beyond what was in the course. Do not attempt this course if you do not have actuarial science level.

par Mahdi S

15 oct. 2020

I expected much much much more than what I was exposed to in this course. The video companions could be more detailed, having more examples (I believe math is learnt via examples) and the lectures, especially in the third and fourth weeks were amazingly disengaging.

par Krishnachandran R

29 déc. 2020

Please give the certificate sir.

Why didn't i get certificate? I have tried a lot to get this one, i have lost sleep for many nights. Im coming from a poor family. I dont have enough money with me. If i get this certificate it will help for my career.

Help me sir..

par Fernando M M E

11 mai 2021

I think this is not the best course to start with for the data science learning path. The first half was maybe too easy and the second half was hard and confusing. It's discouraging for a person who is just starting with data science.

par Sitalakshmi I

19 sept. 2020

The course was not properly taught. There should have been more quizzes, more systemic approach to explaining the problems and solutions. Also the feedback after exams and quizzes were non existent