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

4.5
5,010 個評分
1,116 條評論

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

VC

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)

RS

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!!

126 - Data Science Math Skills 的 150 個評論（共 1,115 個）

May 06, 2020

Great for beginners/intermedite and course contain the most minimal (but absolute essential)requirement for data science programmers,thanks to professors

May 25, 2020

It has been a great opportunity to refresh my math skills and enrich my knowledge , this course is highly recommended for math and Engineering Students.

Apr 25, 2020

The theory is explained in a very simple way which makes it easy to understand and the examples given are very relatable and eases the learning process.

May 23, 2020

It was a very good course and refreshed my basics. The quizzes very helpful and tracking progress was very easy. I am very thankful to the instructors.

Apr 04, 2020

All it was good! Probability was awesome assignments were not easy so I loved the week 4 section so much! Thanks, Coursera to help to upgrade my skill.

Sep 04, 2018

Great course, but the Bayes' Theorem bit could have been simplified a bit more and/or more examples could have been added in. Overall highly recommend.

Dec 09, 2019

The course is refreshing my function and probability skills, as well as adding new knowledge that is Bayes inverse conditional probability. Thank you!

Apr 25, 2020

Thank you for the course. It is good enough to regrow the passion of learning data science math and to go deep down in the path of machine learning.

Sep 13, 2017

Very informative course explained in a very clear and understanding manner. Thanks a lot for the people involved in making this course a reality.

Jun 04, 2020

There are resources provided with this course, that made remembering old calculus lessons and university courses a breeze! I highly recommend!

May 22, 2020

This is very amezing course for data science student . if you want professtion data science in your company then first clear u r mathemathics.

Mar 20, 2019

This course is really helpful to data science student.I was very weak in probability and statistics but this course really polish my skills.

Apr 30, 2020

Its nice and quite harder than I thought..........

but I really enjoyed this course and their contents thanks for teaching

wish you Good Day

May 05, 2020

I enjoyed the videos the most. The examples were quite simple and well structured, easy to manage and understand without additional notes.

May 01, 2020

Course was designed in very lucid and effective manner. My only suggestion is to explain probability part in little slow and detail manner

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.

Jan 12, 2020

Very well structured and really helpfull examples. The videos are really easy to see and not boring at all. I really enjoyed the course.

Dec 15, 2019

This course contains what you need to do your job more logically and would make your argument or opinion much reasonable and persuasive.

Jan 31, 2019

I have got various knowledge from it. We have learn various lesson s of math. I am thankful for the professor who teaches us this things

May 01, 2017

I really enjoyed the course, and found it really useful- it has inspired me to continue on and study applied mathematics at university!

Jun 02, 2020

Great course which covers every statics topic necessary for Data Science. It helps me to recall what I have learned during my masters.

Apr 10, 2020

Very challenging test at the last few chapters and it makes me think and think again which reinforces my understanding of each theory.

Mar 28, 2019

A Basic Introduction to Function Graphs and Probability. To ace data science interview (Math part), I feel the content is not enough.

May 22, 2020

first i want to tell thanks becouse giving me that great opportunites and i learn manny things and it will help me to grow my future

May 01, 2020

it was great and brainstorming session. In fact the probability session was a bit tough and tricky. Altogether a great experience.