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

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2,231 reseña

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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

22 de sep. de 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!

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.\n\nThank you for a great class!!

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326 - 350 de 2,228 revisiones para Data Science Math Skills

por Jason A F

24 de abr. de 2020

I learned the main topics of maths to have more confidence in Data Science. I feel satisfied. Thank you so much!

por Samitha R

29 de jul. de 2020

Really helpful course. Recommend for anyone. Clear explanations. Appreciate the effort of both the professors

por Nilesh A

6 de ene. de 2022

Amazing introductory course for anyone wanting to dive into Data science. A quick course. Completed in 2 days.

por C D

6 de ago. de 2020



28 de jul. de 2020

Very Short, simple and Understandable. Complex concepts are broken own. Everything is Digestable!! Thanks!! :}

por Damodar

19 de jun. de 2017

Thanks a lot for a wonderful course. Gave a quick overview of the basic Math skills required for Data Science.

por Chavdar P G

18 de ene. de 2022

It's a excellent course. I have the chance to recall some basics, but very important math theorems and rules.

por Kalindu S

30 de ago. de 2020

Excellent course gives good knowledge on mathematics skills needs for data science without unnecessary facts.

por colinyuran

9 de jul. de 2018

this course is very good, it helps me to recall my math logic which may be used in data analysis very quickly


22 de sep. de 2020

We need a more practical example to increase understanding. But, indeed, thank you for the knowledge so far.

por Sajjini V

6 de jun. de 2020

The lectures were very precise and moves from easy to hard across the module. I highly recommend the course.

por Toan L T

26 de jun. de 2018

Great course. Help me to refresh my knowledge on basic maths which is necessary for my following study plan.

por Suhaib K

19 de may. de 2021

A must-have for ML/ DS; and the way things are explained is exceptional and notes sprinkles sweets on it :)

por Chris K

10 de may. de 2021

Great course. Really needed it. Could have used more practice problems, but otherwise, excellent work guys.

por Victor L

24 de may. de 2020

The course is great, the fourth week will test your probability concepts, so practice carefully and slowly.

por Pawan K Y

3 de abr. de 2020

Instructor videos can be improved a lot by providing more examples.

The reading material should be improved.

por Vijay R

13 de nov. de 2017

Very easy to understand explained clearly by the professors. Suited for anyone with 12th grade math skills.

por anil k

25 de sep. de 2020

good content to revise our data science math concepts. thanks to everyone to make such a wonderful course.

por Andrey M

4 de jul. de 2020

Thank you so much for present course. This course helped me refresh the probability knowledge in my brain.

por احمد ع

15 de may. de 2020

This course was great, but in the module of probability, there is a big gap between videos and questions .

por Priya P

6 de may. de 2020

Very good course. Gained lot of information about data science and math skills. Seminar sessions was good.

por Daniel C

15 de oct. de 2018

Great course! I would recommend this course to get familiar with data science basic terms and definitions.

por Kristen D

22 de ago. de 2020

Loved both of these professors the work was challenging but accessible - the practice quizzes help a ton!

por Guilherme F D

3 de ago. de 2020

Gostei muito da forma que o material foi apresentado, com vários exemplos e explicações diretas e claras.

por Ronik G

29 de jul. de 2020

One of the best courses offered by Duke University, USA in collaboration with Coursera's online platform.