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

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## Acerca del Curso

Data science courses contain mathâ€”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 Bayesâ€™ 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 reseÃ±as

VS

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!

AS

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)

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## 176 - 200 de 2,419 revisiones para Data Science Math Skills

por Elisa M d M S C

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11 de ene. de 2022

Uma grande e boa revisÃ£o de conceitos importantes para Data Science. Ãšltimo mÃ³dulo pobre em explicaÃ§Ã£o para quem vem sem base em probabilidade, mas sintÃ©tico para quem precisa sÃ³ revisar.

por Bayu W

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9 de jul. de 2020

I learned basic math of data science from based to Bayes' theorem. Lecturer explained material clearly and easy to understand. It helps me to start my journey in data science. Thank you.

por KESHA R

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6 de jul. de 2020

The instructors for this course have a very calm, awesome demeanor. They are very confident and efficient in their methodology overall. This course has reawakened my desire for learning.

por Alieldin R

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14 de oct. de 2019

The course was very good and well thought of, a great refresher for very important concepts, the instructors are very good at simplifying the material and making it very understandable.

por salim m

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25 de dic. de 2020

This course gives a basic foundational math needed for machine learning at high level. I loved this course as the instructor kept it interesting problem solving quizzes gives hands on.

por Syed A Z

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27 de abr. de 2020

An excellent course to learn, Thanks to to Instructor and Duke University and Thanks "Coursera" for this online platform for giving us the flexibility to learn as per learners comfort.

por Lymeng C

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2 de mar. de 2019

I don't quite understand the last chapter about probability. Please use more examples like in quiz to demonstrate the concept one by one. Thanks for making education free to all of us.

por Bharani J

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11 de ene. de 2021

The Topics were clearly articulated. The quizzes tested the understanding. One suggestion i would say is to have solutions provided to the last quiz on Probability. It was challenging

por James L M

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1 de jun. de 2020

This is really hard for me but this gives me a great deal lessons and guidance on what math lessons to learn for Data Science. The final week is very challenging. Thank you for this.

por Tiong S C

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14 de nov. de 2017

Great course. First three weeks are a bit basic, and the fourth week is more challenging. Highly recommended. Hope there will be more on derivatives and courses like this. Thank you!

por Shepherd M

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19 de may. de 2020

At face value it looks like a very simple course but it is very challenging and extremely demanding course.I had to continously recap on the concepts by the lecturers.great indeed

por Shashank K

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5 de oct. de 2017

The Basics were covered pretty nicely. The instructors had given it their all to explain the concepts. The tests did test you pretty well on the concepts you learnt from the videos

por Andrew E T T

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20 de sep. de 2020

Make sure to polish up on every concept regarding probability from the beginning of the videos. That way you won't lose your way at the end. Everything else was simpler to follow.

por Jenny F

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11 de sep. de 2020

I wish I could learn more about data science since I really enjoyed this course. I have mathematics background because I'm an engineering graduate but this course taught me a lot!

por Luis A B

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4 de ago. de 2021

The course is very good. Maybe more topics could be included. The videos would be better if direct writing is not used, sometimes it leads to confusion with letters and numbers.

por Shah M A R

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16 de sep. de 2020

I never take MOOC training before,but after taking this course, i was really impressed .Now i highly recommended this course to every one who wish to increase mathemetical skills

por BERNARDO A M G

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4 de jul. de 2020

Estoy muy contento, porque el curso me ha permitido crear una adecuada ruta de aprendizaje de las habilidades matemÃ¡ticas que se requieren en la ciencia de datos. Muchas gracias

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25 de jun. de 2020

The course was important especially the topics of probability. The videos are very useful and I can easily followed the flow and topics of this course. Thank ypu for this course

por Rishwanth T

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2 de nov. de 2020

Amazing course with great professors teaching it. The more and more I progressed with the course, I became more eager to learn the contents of the course. Overall, thanks Duke!

por shashank m

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30 de jul. de 2022

i am very thrilled with this course. Got to learn many intresting and exciting concepts and am very glad that i finished it. Thanks alot COURSERA for giving this oppurtuninty.

por William W

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10 de oct. de 2017

Excelent course! I am studying at the Data Science Math Skills to fill some math gaps, and also doing the Data Scientist Toolbox . All of them are really great courses. Enjoy!

por Audrey T

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2 de may. de 2021

This is helpful, it helps me a lot to improve my math skills and prepare for my future studies. The lecturers are patient and present the key knowledge in an interesting way.

por Chinmaya M

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4 de ago. de 2020

The course is well structured and helps in acquiring the essential knowledge of mathematics for Data Science. Thanks Daniel Egger and Paul Bendich for this wonderful course.

por Benjamin M

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26 de jul. de 2020

Both instructors we're awesome, it's easy to understand the distinction and level of knowledge in top professors at a top university like Duke. Really appreciate those dudes.

por Vineet K

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3 de abr. de 2020

A very holistic course on mathematics required for machine learning. I hope the Probability bit could have been covered more in details. Also, very good on exercises as well.