Voltar para Data Science Math Skills

4.5

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4,370 classificações

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984 avaliações

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!...

May 17, 2020

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)

May 06, 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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por Lingde K

•Mar 07, 2019

As a non-native speaker, the first three parts are helpful in getting into math terminologies and reviewing basic math knowledges. The essence is all about the last part, which might be a little tough for new learners I guess.

por Jessica J

•Dec 16, 2017

A great refresher course and a range of interesting and foundational concepts. Would recommend to anyone who has prior experience with calculus and probability theory and is just looking to remind themselves of key concepts.

por Jhon R

•May 02, 2020

Great option to get back to the Math worked, reviewing the basics of what needs to be known when working on data science and see where you need to put more effort. Hoping this helps while I continue taking other DS courses.

por Daniel G T P

•Feb 13, 2020

It helped me reviewing and learning interesting mathematical points that will help me understand more about my Machine Learning course.

I believe the last week, about probability. could be more extensive and made more clear.

por Angelica D

•Feb 17, 2020

This was a great beginner course on some of the math you might see in Data Science. I'd recommend this course to anyone that might not be confident in math who want to start a career in this field. A great refresher!

por Jayson S

•Mar 04, 2018

Fantastic course, especially when paired with or done before Andrew Ng's Machine Learning course as it matches up quite well! Thank you for the detailed guidance in the practice quizzes on incorrect answers as well!

por Zhenqing H

•Dec 17, 2017

This course gives me the basic conceptions about the mathematics, especially parts about calculus and possibilities, however, if would be great if there are samples or basic practices related with the data science.

por Subramanian N

•Aug 20, 2017

This was an excellent review of the basic mathematical concepts useful in data science and machine learning. Thank you very much for the very concise and clear explanations of the various topics! Much appreciated!

por Frank G

•May 29, 2017

very nice course, and a good starting point to catch up data science and computer science math-skills. Helps to bring some of those rusty concepts back into memory, and from there you can expand further ...

por Aniket P P

•Apr 17, 2020

Hi it is very helpful to me. Concept is properly explained. I enjoyed learning process. Expect some more courses on data science as well as on python which involves real time application.

Thanks a lot.

por Richard S

•May 06, 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!!

por John V

•Dec 11, 2019

First 3 weeks were easy going and the last week was a bit more challenging. I think more examples could be included in the lectures to understand Bayes' Theorem at the most fundamental level.

por Shantanu R

•Apr 28, 2020

It was a very good opportunity to go through the course, and the content was good. I can say I definitely learnt a lot in this course. Thanks team and kudos to great work you guys are doing.

por Gaurav P

•Mar 07, 2018

Looking forward to advanced courses on Linear algebra, eculidean geometry that would make the concepts of vectors, matrices, plane and any application of those in the data science problems.

por Abdul H S

•May 04, 2020

It covers all basics of mathematics and of-course intermediate concepts from Mathematics which are essential for data science in general, and very useful for data mining, data storage etc.

por Susmito R

•Jul 13, 2019

The first two weeks of the course were great! The instructor was very clear in his explanations and made the material very intuitive. The video companion pdf's were also very well written. But from the third week onward, when the other instructor took over, not only did the explanations suffer significantly, the video companion material also ceased to be of much help. He did not explain any of the intuition behind any of the formulas and he didn't even try to explain the intuition behind when and where the formulas would apply. I didn't take this course just to be given a bunch of formulas. I really wanted to understand the material because I knew these are foundational concepts that needed to be mastered. Khan Academy explains a lot of the material of weeks 3 and 4 much better. I really wish someone had explained how the version of the binomial theorem that was presented in this course is related to the traditional version that we learned in school while doing binomial expansions in algebra.

por Allen F

•Oct 05, 2019

The first part of this course was great. It was the right level of material, taught simply and effectively with quizzes and exams that were on par with the taught material. The second half was not so great. The teaching style of the second teacher did not convey the material as effectively as the first teacher. Also, I felt that the week 4 probability quiz and final exam had material way beyond what was taught during the lesson. There should have been some exercises to warm us up and get us to the difficulty level of the final. It felt like going from 0-100 mph. Overall because of the stark difference in teaching and difficulty of the final exam of part 4, I can only give this course three stars for the great start.

por Simon

•Apr 15, 2020

I took this course as a refresher for maths rules I had seen in university, so my experience does not relate to those who will encounter this topics for the first time. I honestly do not recommend this course to beginners with no background in mathematics, because there is not much space given to theoretical explanations of the principles here. The course feels more like a quick slideshow of rules (logaritmic manipulations, exponential manipulations, conditional probability manipulation) followed by exercises to practice them. This is a stark contrast to my University Experience, where mathematics is about principles, logic and the demonstrations that underly theorems and their validity (e.g. ''why is the formula for combinations of "m draws on a set of n" built this way?''): deep study of these topics provides students with the mental skills to build a MODEL of whatever they come to face in real life. You may forget the rules, but those can be freshened up by a course like this. To build Logical and thinking skills instead requires a deeper understanding of mathematics and its underlying principles. I hope the professor who recorded this course will look forward to an opportunity to devise a deeper mathematics course to tackle these topics. Good luck to all fellow learners and thanks to Coursera for this opportunity!

por Md. Z M

•Mar 08, 2019

For someone with a Computer Science background at the undergraduate level, I find the contents basic. However, the intention of the course was to give a refresher for data science professionals who find the mathematical jargon frequently used in practice hard to comprehend. In this sense, the first half of the course taught by Prof. Paul Bendich were good. The second part of the course taught by Prof. Daniel Egger needs a lot of improvement in content delivery and better explanation. The quizzes on probability are challenging and enjoyable. Also, when I took the course as on March 2019, there wasn't any activity on the discussion forum. It seems there are not many students taking the course with me, and it also wasn't monitored by the course staff.

por Deleted A

•Aug 20, 2017

The first two weeks are good. The material is explained in a fairly intuitive way. One can easily understand the theory. It is also explained why and how a presented concept is related to data science.

The last two weeks however are to shallow and abstract in the explanations. I had to check external websites to fully understand the material. The lectures also didn't prepare me good enough for the tests. Sometimes I felt lost and the video companions also didn't really help. This wasn't the case in the first two weeks. At the end I was able to complete all tests with 100% but only because I taught the material myself with the help of external websites.

por Mukhtar A A

•Apr 14, 2020

I found week one amazing and the instructor have an excellent way to explain and make things simpler unfortunately I did not enjoy the 3rd and 4th week

por Numsap S

•Mar 21, 2017

Too basic. Should give an example on how these math skills are used in data science.

por Judy M

•Apr 27, 2020

There are a great many errors in both the lesson videos and the quizzes in this course. In the first half, correction messages pop up during the videos of the lessons. Many additional errors were highlighted over 2 years ago in the discussion forums, so it appears as though no one is currently maintaining this course at all. The second instructor does not teach content at all. He simply records on his slide what he has calculated off screen. Numbers appear in formulas but rarely is there an explanation given as to where those numbers come from or why they belong in the formula where they are substituted. Furthermore, the slides are just a jumble of notations by the end of he slide so are of no value as a reference note. Many of the discussion forum comments were suggestions by others taking the course as to where to go to get an actual lesson. Someone who did not have a background in mathematics who actually cared about learning would be very stressed by the exceptionally poor way this course is designed and delivered. Final comment -- no connections are made between the math presented and data science.

por Adam M R

•Apr 18, 2020

Lacked practice questions to reinforce concepts as is expected in any math course. Content in videos did not line up with assessments. Practice questions and examples would have bridged this gap. This course may function as a good refresher if you are already fairly confident in the topics but have not seen them in a while. Lecturers were very good, there was just a content mis-match between videos and assessments. Videos also contained multiple mistakes (which are noted), but should have been edited or bits re-recorded. Video editing is everywhere and accessible, there is very little excuse for not publishing a polished product considering the medium.

por Austin S

•Jan 07, 2019

Silly course. Either you know so much math to be able to pass this course or you know nothing to find this course of zero value. Avoid.

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