Chevron Left
Volver a Data Science Math Skills

Opiniones y comentarios de aprendices correspondientes a Data Science Math Skills por parte de Universidad Duke

10,452 calificaciones

Acerca del Curso

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!...

Principales reseñas


11 de ene. de 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)


5 de may. de 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.

Thank you for a great class!!

Filtrar por:

2276 - 2300 de 2,335 revisiones para Data Science Math Skills

por Sandeep M

21 de may. de 2020

The weeks 1-3 although elementary were explained well but the change of professor on the last one really did nothing. There were far better tutors on youtube teaching the same things he did more clearly.

por Jayprakash C

1 de sep. de 2020

Concepts not covered well enough, just for the sake of teaching. Pure time waste. Bayesian Theory was not taught up to the mark, I had to refer external resources to understand it well.

por Gaurav A

25 de may. de 2020

the video learning was good, but the quiz questions were at a very different difficulty levels. I would just like to say that this was supposed to be an beginner level course.

por E M

27 de jul. de 2017

This course is very short. I've completed it in about 4 hours. Nothing was told about linear algebra, statistics, optimization. It is not enough even to learn Data Science.

por Dan S

2 de sep. de 2021

A mixed bad. The younger professor is a much better and more engaged teacher. Week 4 in particular, taught by the older professor, comes across very low-effort and messy.

por Ashraf S

17 de ene. de 2019

This course dos not contain enough examples which needed to train and practice ,PDF is not clear enough and does not contain any problems to practice.


por Amanda H

26 de mar. de 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.

por Saleem G

30 de abr. de 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

por Maria K

21 de nov. de 2020

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

por Jomon K S

11 de may. de 2020

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

por Esaú C

25 de abr. de 2020


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

por Vaibhav J

10 de feb. de 2019

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

por Bernadette O

8 de ago. de 2022

Overall this course did not spend enough time explaining probability, which is a huge portion in understanding data science.

por Hubert W A E

12 de abr. de 2021

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

por Ahmed K A

13 de jun. de 2022

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

por Xose C

6 de abr. de 2020

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

por Peter G

4 de mar. de 2018

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

por Andersson F R A

17 de may. de 2020

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

por Nayaung L

30 de jun. de 2020

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

por vivek a

12 de abr. de 2020

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


23 de may. de 2020

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

por Saurabh S

11 de jul. de 2017

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

por Jonathan H

8 de feb. de 2017

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

por Kabir P

6 de jul. de 2022

Concepts were skipped and not explained with enough examples

por 小洋xiaoyang

27 de dic. de 2020

Wish there will be more example question in the lectures