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)

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)

篩選依據：

創建者 Daryna S

•Aug 14, 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.

創建者 Matthew A D

•May 04, 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.

創建者 Richard B

•Oct 09, 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.

創建者 OSAMA B A

•Apr 09, 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.

創建者 Amit T

•May 05, 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.

創建者 Jackie C

•Apr 07, 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.

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 Arun A

•Apr 20, 2018

Very good course. Really enjoyed the explanation very concise and clear. This is however not exhaustive for anyone to gather every bit of possible knowledge in Data Science, do keep that in mind. But this definitely sets the foundation correct.

創建者 Yan T

•Nov 01, 2019

Great course brushing off math skills with quiz in the end of each module. The last module is the most difficult, it'll be better if more examples be demonstrated. Good pace and a good course for those who need to get an idea of some topics.

創建者 MILDRED B R

•Jul 06, 2020

Very informative and I learned a lot. I enjoyed taking the practice quizzes and the exams. I failed, I made mistakes yet what is the most important I learned a lot. Thank you Coursera and DOST-CARAGA, the Philippines for the opportunity.

創建者 JUAN G

•Jun 25, 2020

Pretty fun and understandable. The last week resources and content was quite deep and confusing when it was explained. From the exercises I've found some errors in the solutions. Briefly, It fulfills my expectations pleasantly.

創建者 Shaik A U H

•Aug 01, 2020

Well, except for the last quiz of probability (basic and intermediate) others were too easy, and also this course is highly recommended for the ones who really are entirely new to math concepts present in this course.

創建者 Aldrich W

•Jul 13, 2020

Maybe the first three chapters are a little bit easy; but the fourth chapter is challenging. This is my very first Coursera course, and I have learned a lot. Shout out to Prof. Daniel Egger and Prof. Paul Bendich!

創建者 Alex A

•Jun 13, 2020

I was looking for a math class to refresh my math skills in preparation for getting into the field of Data Science and I am very glad that I found this course. It was well taught and very clear. Thank you so much.

創建者 Suparit S

•Jul 19, 2020

The course provides comprehensive basic math skills for the ones who might have forgotten all the maths they have learnt. Highly recommended for ones who wants to restart the math skills with clear intuition!

創建者 Yasir M

•Jul 13, 2020

It was a good basic level course of math design by Duke University.I just say thanks to all of this course team and especially thanks to coursera for providing such a amazing opportunity to learn more skills.

創建者 Eloisa R

•Jul 08, 2020

If you have previous background is easier, but in Baye's theorem it was a little hard to understand it. Overall, it is an excellent course, but a little more explanations in Baye's theorem could be better.

創建者 Muhammad H

•Jun 26, 2020

The course was really great. You could include some more offline practice questions with solutions for better practice at least 10 for each topic. Otherwise explanations were easy to understand and follow.

創建者 veer

•Jul 21, 2020

A great foundation course for anybody whoose tryna find their feet in the excitng and vast world of data science,i learnt so many new things..it was truly an enriching experience.Thank you!!

創建者 Altynay O

•Jul 07, 2020

My first course on Data Science and was happy to share this experience with Duke University. The course was informational, very resourceful and hopefully beneficial for my future endeavors.

創建者 Kensuke I

•Apr 30, 2020

Good learning overall.

Some part are pretty easy, which I remember learning in junior high,

but some theorems are hard to apply.

Now I want to use these theory in real world and data science!

創建者 Bayu W

•Jul 10, 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.

創建者 KESHA R

•Jul 06, 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.

創建者 Alieldin R

•Oct 14, 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.

創建者 Syed A Z

•Apr 27, 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.