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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

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)

RS

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!!

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## 126 - 150 de 2,422 revisiones para Data Science Math Skills

por Mahyar

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22 de ago. de 2017

Good course because it focuses on basic statistical science needed in Data Science. Only issue I had with this course was it was pretty short. Shorter than I thought by looking at the syllabus. Also the agenda is very simple in the first couple of weeks until it gets to the last week.

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26 de jul. de 2020

Would have been better if real-time tool were used such as PTC Math-cad or Mathworks Matlab then the Simulation based learning approach could have been much better. Well this course has vas potential and can be be released as series with capstone simulation project. I loved it though

por Rahul K

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29 de abr. de 2020

very nice, this course helps me a lot for a basic understanding of the different concept of math. The course is also design in very well manner for understanding each and every concept clearly.i also very thankful to the teacher association who created this course for helping me.

por Muhammed B K

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5 de oct. de 2020

Great course for starters. For first three weeks there can be some advanced examples as extras and for the last week, it would be better if several complex examples solved by instructors since Bayes and Conditional probability can be confusing sometimes. Thanks for the course.

por Rajat P T

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20 de jul. de 2020

The course explained all the basic mathematical concepts really well, especially Bayes' theorem and probability theory.The best thing that I liked about this course is that it also explained some simple real world test scenarios where these mathematical concepts can be used.

por Priti B

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28 de may. de 2019

I came for this course after working on data science for sometime. While initial 2 weeks were easy and known, last 2 weeks were really helpful. My probability concepts become much clearer after going through the lecture and tests. Very precise and clear course. Thanks a lot!

por Pavel A

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14 de nov. de 2021

Thank you for your work and for free access to the course. It was very helpful for my university Machine Learning course. After completing the course I want to notice the following: - course is siutable almost for evevryone - highly qualified teachers - good visual support

por Omar L

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31 de ago. de 2022

Thank you so much professors Paul Bendich and Daniel Egger for this amazing course. It really covers all the fundamental aspects required in data science. I needed this course to be ready for my Masters in Data Science starting next month. Thanks again and have a good one.

por Christopher C M

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5 de may. de 2022

As a fellow educator found this course to be very helpful. Could like to see an area, and maybe I just didn't look hard enough for it that had some more practice problems to hone some of these skills. Especially the probablity towards the end with Bayes Thrm.

Thank you

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15 de oct. de 2020

Effective way to refresh and add the Data Science math skills! Thanks a lot! Please include integration, algorithm analysis (big O, theta, omega), recursion and induction. Your course is helpful, thank you. If you add those things I've mentioned it would be absolute gold.

por James T

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2 de abr. de 2018

Everything I've tried diving into in regards to data science after having been out of school for a while (I'm 34) has been stuff I haven't learned or forgot. This course was perfect. Nothing was too difficult for someone who still remembers basic math and I learned a lot.

por JosuÃ© R G S M

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3 de ene. de 2018

Los contenidos son en inglÃ©s pero los profesores tienen una perfecta dicciÃ³n y no hablan rÃ¡pido de tal modo que los puedes entender perfectamente con sÃ³lo un poco de inglÃ©s. Los contenidos matemÃ¡ticos estÃ¡n debidamente dosificados y muy interesantes. Recomiendo el curso

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15 de jun. de 2020

Even though I have learnt quite a bit of math in college, my basics weren't very clear. This course helped me clear up my basic doubts which were causing problems. The instructors explain the concepts quite comprehensively using easy-to-understand real-world examples.

por Daryna S

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14 de ago. de 2017

This is a real good and inspirational start in data science education, especially for people, who have some fear of math (like me:)). This course is enough complicate to learn something new, but simultaneously not too hard, so you dont loose motivation for studying.

por Jeni S

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17 de sep. de 2020

The course is helpful both as a refresher and a introduction. It made me understood all the basic math skills behind the data science Field. Very good explanation of probability part and so on. I found the week 4 content quite challenging, but got there in the end!

por J. M I P S

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12 de dic. de 2020

I learned all the necessary basic mathematical skills for Data Science through this course. Good explanation from the lecturers. I highly recommend this course for new and intermediate students who are learning Data Science to improve their mathematical knowledge.

por Matthew A D

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4 de may. de 2020

I had a really easy time going through the first 3 weeks of the course, but then the 4 weeks were so hard. I got through it, but it was hard. The 1st-3rd weeks were just going through the same things I had learned again, but the 4th week was almost completely new.

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5 de feb. de 2021

Great course, it gives me a brief review about the topic that might be needed as Data Scientist. Week 4 videos have room for improvement. It might need a longer time to explain the topics so learners could understand better the topics that is discussed in Week 4.

por Richard B

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9 de oct. de 2017

I think this course helped me identify certain areas of weakness within my education that I have already received. As a result, I know where to start in order to shore up the gaps that formal education has solidified. Overall it is a great introductory course.

por Baijnath G

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13 de dic. de 2020

Cleared my concepts through this course .I had some basic knowledge regarding this modules so it was not hard for me to complete it.

The way tutors explained was commendable!!

I would love to suggest my fellow to enroll in this course to brush up their skills.

por Osama B A

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9 de abr. de 2020

Thank you, Coursera for this course for free. It was really helpful. It covers almost all the basic math term for Data Science. Looking now for intermediate level course of the same. Hopin that very soon, I will be gifted with a new free course. Thanks again.

por Amit T

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4 de may. de 2020

Something good to learn and in fact the session are so precise to understand that you don't need anyone's help at all to learn thing. Just go through the video lectures. It's that simple. Thank you Coursera for this wonderful journey and amazing sessions.

por Jackie C

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7 de abr. de 2017

First three weeks were mostly review, but the fourth week was incredibly helpful. Would appreciate some more background/derivation of the binomial theorem - it was hard for me to develop an intuition for it in the same way I could for the Bayesian theorem.

por Tom M

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9 de jul. de 2022

great course, as someone who never did hhigh school mths pursuing a qualification in datascience it has helped me prepare a basic foundation in several areas i never covered in school. I now feel more confident to take on the maths modules in my course.

por Don R

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28 de feb. de 2021

I studied mathematics and statistics in university but had not practiced it for many years. The course was challenging and interesting and refreshed my memory. I think the course would be very very challenging for those with no background in math.