This course syllabus is great. It starts wonderfully. Week 1 to 4 is taught by Paul Bendich, and Daniel Egger the instruction is awesome. Effective way to refresh and add the Data Science math skills!
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)
創建者 Abhisek s•
Course was designed in very lucid and effective manner. My only suggestion is to explain probability part in little slow and detail manner
創建者 Enes S•
At first, I thought there is no need for me to take this course but at the end it was very useful for me. Especially the statistics part.
創建者 Megala j•
Classes were beautifully structured. Only the final Bayes' theorem could have been more elaborate with more live examples. Need solutions
創建者 vivek m•
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 Uzziel A P G•
The lectures are well presented and the practice problems and graded quiz helped learners used the new knowledge learned in the lecture.
創建者 18BMA124_KAVERI S S•
Very easy to learn.This course with good instructors ,increases my knowledge and at the same time it increases my data science interest.
創建者 Marlena A P•
Very well structured and really helpfull examples. The videos are really easy to see and not boring at all. I really enjoyed the course.
創建者 Shigeki H•
This course contains what you need to do your job more logically and would make your argument or opinion much reasonable and persuasive.
創建者 Yojana S•
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
創建者 Kyle Y•
I really enjoyed the course, and found it really useful- it has inspired me to continue on and study applied mathematics at university!
創建者 Vivek P K•
Great course which covers every statics topic necessary for Data Science. It helps me to recall what I have learned during my masters.
創建者 Jeffrey G•
Very challenging test at the last few chapters and it makes me think and think again which reinforces my understanding of each theory.
A Basic Introduction to Function Graphs and Probability. To ace data science interview (Math part), I feel the content is not enough.
創建者 Iqbal A E•
This is nice basic math for IT based. I learn just a little bit from my college, but in this course , i learn more advance about it.
創建者 MIROTHALI C•
very descriptive and elaborate explanation of concepts. But using blackboard a lot is kind of old fashion. More animations is needed
創建者 krish R•
The course can be made more complex by adding more challenging questions and exploring each of the concepts in a bit more of detail.
創建者 Roopa S H•
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
創建者 VIRAJ P•
it is a very good course to start from the beginning in data science I suggest everyone should take time to spend in this course...
創建者 Asif r m•
Good n best ways of learning and also getting free certificate.i hope all the students will find it best and have learnt in detail.
Data science and math skills is a very good course. Very interesting to learn and given a good knowledge. Thank you Courseera.
創建者 Dibyanshu S D•
it was great and brainstorming session. In fact the probability session was a bit tough and tricky. Altogether a great experience.
創建者 Md A R•
Good course outline and instructors are also well qualified. Would be better if they suggested some additional reading materials.
創建者 shruti b•
I have learn many things from this course such as algebra, equations,and other math problems. It has given me many information .
創建者 Kehinde O•
This is a great course for anyone who has little or no experience with elementary algebra and for those who might have forgotten.
創建者 Jonathan D M•
The basics of math were explained in an easy to understand manner with relevant examples and extremely helpful course material.