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學生對 杜克大学 提供的 Data Science Math Skills 的評價和反饋

4.5
2,134 個評分
478 個審閱

課程概述

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!...

熱門審閱

AS

Jan 12, 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)

PS

Jul 23, 2017

This is neat little course to revise math fundamentals. I generally find learning probability a little tricky. This course helped me a lot in better understanding Bayes Theorem. Thank you professors.

篩選依據:

151 - Data Science Math Skills 的 175 個評論(共 470 個)

創建者 Hosameldeen S

Jun 12, 2017

To the Point!

創建者 Carlos M B B

Sep 20, 2017

It was a great oppotunity to get involved in math skills.

創建者 Ned T

Sep 11, 2017

This is a very interesting course for those who have not used math for many years and now want to pursue the field of data science. The basic concepts are presented coherently and understandably attracted me throughout the course.

創建者 mehak

Nov 12, 2017

can i get the certificate ?

創建者 vivek m

Feb 05, 2017

Basic math course help to get revise all the high school concept. Even those who haven't any background on mathematics can get it easily.

創建者 Miriam C

Jul 24, 2017

cannot believe I took a programming course without doing this - the math was taking me so long and it was because I hadn't finished high school math a decade ago (our school didn't require it) - really thankful to have found this course!

創建者 Glenn L

May 23, 2017

Great Primer for Data Science Math!

創建者 William W d F

Oct 10, 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!

創建者 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!

創建者 sanoop r p s

Jun 18, 2018

It is extremely good. One should do this before starting data science course.

創建者 Kostas H

Mar 09, 2018

This course is designed for those either without a college level math background (calculus, probability, etc) and thus need an introduction to fundamental math skills or for those who need a refresher. This is not a course that teaches data science, nor the math of data science (linear algebra, random processes, algorithms, etc). But rather it teaches the math behind the math of data science. It reviews the basics of sets, plotting, sigma notation, derivatives, logarithms, mean and variance, Bayes theorem, etc. It is a gentle introduction to basic math skills that everyone should have. This is a course to definitely take as a refresher or before venturing into more higher topics such as collegiate math, data analysis, machine learning, computer science, engineering, etc.

創建者 Priyanka S

Jul 23, 2017

This is neat little course to revise math fundamentals. I generally find learning probability a little tricky. This course helped me a lot in better understanding Bayes Theorem. Thank you professors.

創建者 Ainura

Nov 02, 2017

Thank you, this was a very helpful course.

創建者 Aditya K

Sep 21, 2017

This course offers a great refresher of the FUNDAMENTALS of Linear Algebra , Calculus and Probability.

Do note the strong emphasis on fundamentals.

All lectures are well produced and the material put forward in an unambiguous and layman language.

The concepts presented are very easy to grasp , all thanks to the brilliant efforts of professor Bendich and professor Egger.

This course , along with another course on Calculus would serve as a great starting point for all data science enthusiasts and I strongly recommend it to everyone.

創建者 ANUJ S

Mar 29, 2018

This course was very good. Adding few advance topics like various distributions will help too.

創建者 Thomas J H

Aug 22, 2017

Helpful course -- highly recommended for people who need more background or who need a refresher.

創建者 Ankur A

Apr 18, 2018

Hi. A very good refresher course that serves as a pre-requisite to Machine Learning and Data Science courses. Probability could have been a little better explained, specially the processes and event part. I would also like to see Vectors and Matrices added to this course, which is equally vital for Data Science.

創建者 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!

創建者 Mys

Jun 04, 2017

it was a great course for me having left maths for a while and needing it again now

創建者 Val

Dec 05, 2017

Clear and straightforward introduction to the key mathematical concepts that underpin statistics and data science. Video companions and practice quizzes complement the lectures in an effective way and prepare the student well for the graded quizzes.

創建者 James T

Apr 02, 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.

創建者 Ankita O

Nov 12, 2017

Excellent course with excellent examples and challenging test. Really enjoyed the course!!!!

創建者 Tim J

Jun 28, 2017

I found it quite engaging and challenging at times to get my head back around high school maths!

創建者 Mahyar

Aug 22, 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.

創建者 Yuliya S

Apr 07, 2018

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