Back to Data Science Math Skills

4.5

stars

7,719 ratings

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1,742 reviews

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!...

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)

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!!

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By L.

•Apr 19, 2020

The course was easy and comprehensible as long as you have done basic maths at some point in your life. For those who don't I would suggest to go and take a calculus and statistics course and revisit. Otherwise, you would have to do some research by your own, in order to be able to follow. Keep in mind that if you do not see the exponents etc, change browser. Chrome seems to work better than my Firefox.

By Sofia M

•Sep 05, 2020

I did learn this course due to I found out a mention about it in an article on the Web. I had 3 higher eds with math, and I needed to get it again because I started to learn Data Science in Health Care Administration. Thanks to the lecturer, thanks to all who made this course availible online.I would like to continue with you! Highly recommend this course for those who need to study Data Science.

By Oka M

•Sep 17, 2020

Great course to strengthen the basics before jumping into applicable approach on data science. The hardest part on this course is the week 4, the one with probability and bayes theorem, and it is advised to get supplementary information on bayes theorem and probability to avoid confusion. All in all, it is highly recommended to anyone starting to learn for solid understanding on data.

By Abdulla A

•Apr 10, 2020

I am fairly new to the field of Data Science and Machine Learning, and I felt like i had to strengthen my math skills, hence why I enrolled in the class. The professor did a great job explaining everything in detail, and brushing up on simple math terms. I feel more confident now to move forward into data science that I have a basic knowledge and understanding of the math concepts.

By Tim H

•Sep 03, 2020

A fantastic primer on the basics of math related to practically every quantitative field. I hadn't touched probability since high school but now i feel that i am prepared to tackle intermediate probability problems. That being said, prepare to breeze through most of this course and then suddenly find yourself looking up advice on math stack exchange.

I love Bayesian statistics.

By ABHISHEK A

•Apr 26, 2020

First of all I would like to thanks Coursera for providing the different types of courses by the world best instructors from the top universities. From this course, I get to know more deeply knowledge about data science maths skills .By, using those knowledge I can apply those in real life problem related to this.

Thank you very much Coursera for providing this type of platform

By Adler A

•Apr 08, 2020

I totally liked this course for clear explanations and plenty of practical exercises. Some of them were not easy for me, but thanks to comments after mistakes I could finally find the right solutions. Just in the last week in the final quiz, there were no explanations, but maybe it was a problem on the site side. This course made me think a lot, and I enjoyed it genuinely.

By Tharanath R

•Jun 29, 2020

I thoroughly enjoyed my course as both professors made the entire process of learning an excellent starting point for beginners as well as a wonderful refresher for those returning to the subject once again. I strongly recommend doing this course in order to better understand the fundamental concepts that are underlying the domain of mathematics in Data Science.

By Haqi A

•Jun 10, 2020

This is a good course for anyone who wants to brush their math skills. The explanation in the videos are clear and the video companions/pdf files are very helpful. I personally read the pdf files first and then watch the videos and proceed to do the quizzes. If there should be any improvement, I'd like to see more practice questions, especially after each video.

By Divyang S

•Jun 09, 2020

The explanation of concepts was amazing. But I feel more examples should have been illustrated, since the quizzes were really hard in the last week. Overall, a great Mathematics and Statistics refresher course. This short course will help you figure out where you stand and how much more work needs to be done with respect to your Data Science Math skills.

By Dhimas U

•Aug 02, 2020

This course really helped me in refreshing my knowledge, especially at the theories of probability. First, second, and third module was okay, but in the last module (module 4), you need to study more comprehensively as there were too many trap answers. This course is a good choice for everyone who wants to begin their specialization in data science.

By BE H

•Jul 30, 2020

Nice introduction with Probability and other mathematics. Good examples. For some, it might be too basic. I have not done mathematics of 3 years this course has helped me to remember different common rules and their application in data science. It has jerked my memory down. Thought, the probability module can be improved with better examples.

By Murali M A

•Aug 27, 2017

Succinct explanation of the basics. Take more time at the Bayes theorem. It is worth it. Work out all the problems and keep reading the PDF notes accompanied with the videos. All in all, a great experience for those who have missed some basic math in earlier education. I am onward to my next course in machine learning and data science. Cheers

By CJay

•Jun 13, 2020

This is a very good course for those who have forgotten about their math skills and are new to data science. The first few weeks will cover basic math which you can skim through if you are good in math. This course also introduces you to statistics in particular Bayes' theorem which is an important topic of data science. Enjoy the course!

By Gitashah

•Jan 31, 2019

First of all thanks to the data science math skill because i learned many new things,ideas,knowledge and skills from this course and more thankful to professors because of them i am able to give all the answers and it was too much interesting to do .

Thanks to all the teams of coursera as well as to the data science math skill......

By Garth Z

•Mar 11, 2017

If you are a right-brainer and/or rusty on math, I strongly recommend this course as a precursor to Duke's Intro to Probability and Data course. Some of the practice and final quiz questions really threw me (and that's good)... Most of them I was able to rethink and derive the correct answer and a few others remain a mystery... :-)

By Deleted A

•Jan 22, 2017

I loved this class, the only one of it's kind and much needed, unless you particularly want to re-do your long forgotten high school and college math. It was nice seeing a Venn diagram again. I did have to supplement some of the material that was covered quickly with google searches, but filling in the blanks was quick and easy.

By Ramesh K

•Jul 18, 2020

It is a thoughtful and well-designed course. I really enjoyed learning the core math skills related to data science. As a starter on data science as a field of study and career, the course refreshed my previous knowledge and helped me learn more about the mathematical skills needed for learning and practicing data science.

By 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.

By Bernardino R

•May 20, 2020

This course provided clear, expert teaching at a very good pace. The materials were very helpful & directly applicable. The videos were well portioned, and the professors are well spoken & highly competent. I highly recommend Coursera, these professors & this course. I plan on pursuing more in this subject.

By Preeti A

•Jan 31, 2019

Learning this course I have gain many new and interesting skills. I am very much glad to get the knowledge from two professors and they gives me more knowledge on those interesting courses. I was able to do the answers of the given courses.And I THANKS them to give me such opportunity to do these courses.

By Armine

•Apr 04, 2018

Everything was great except probability theory. The videos were hard to follow and understand because everything was a kind of mess. Reading materials would be much better for probability section. Overall it was very helpful for me and I am very grateful for this wonderful course!!!

By Iman S

•Apr 16, 2020

The course is completely related to prerequisite data science skills. There are lots of useful materials. However, the last module (probability) is kind of introduction and superficial, and do not discuss probabilities concepts and distributions in depth.

In general, the course is Great

By 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.

By Subhadip D

•Jul 26, 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

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