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Вернуться к Data Science Math Skills

Отзывы учащихся о курсе Data Science Math Skills от партнера Университет Дьюка

4.5
звезд
Оценки: 10,434

О курсе

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!...

Лучшие рецензии

AS

11 янв. 2019 г.

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 сент. 2020 г.

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 из 2,332 отзывов о курсе Data Science Math Skills

автор: E M

27 июля 2017 г.

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.

автор: Dan S

2 сент. 2021 г.

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.

автор: Ashraf S

17 янв. 2019 г.

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.

Thanks

автор: Amanda H

26 мар. 2021 г.

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.

автор: Saleem G

30 апр. 2020 г.

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

автор: Maria K

21 нояб. 2020 г.

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

автор: Jomon K S

11 мая 2020 г.

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

автор: Esaú C

25 апр. 2020 г.

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

автор: Vaibhav J

10 февр. 2019 г.

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

автор: Bernadette O

8 авг. 2022 г.

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

автор: Hubert W A E

12 апр. 2021 г.

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

автор: Ahmed K A

13 июня 2022 г.

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

автор: Xose C

6 апр. 2020 г.

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

автор: Peter G

4 мар. 2018 г.

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

автор: Andersson F R A

17 мая 2020 г.

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

автор: Nayaung L

30 июня 2020 г.

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

автор: vivek a

12 апр. 2020 г.

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

автор: PRASAD K

23 мая 2020 г.

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

автор: Saurabh S

11 июля 2017 г.

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

автор: Jonathan H

8 февр. 2017 г.

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

автор: Kabir P

6 июля 2022 г.

Concepts were skipped and not explained with enough examples

автор: 小洋xiaoyang

27 дек. 2020 г.

Wish there will be more example question in the lectures

автор: A M A

24 дек. 2017 г.

Probability part is good others are elementary math

автор: Kavitha B

6 апр. 2022 г.

did not understand bayes theorem and probabilty

автор: Rodrigue S

24 июня 2020 г.

This is really basic basic.