it is good but there are things that are not explained in a very clear way but it is a good course remember you must practice and go further

Introduction to some basic mathematical terms. Conducted in an easy-understand way. Not very clear explanation in the part of probabilities.

All great until the las module. The topic was bearly explained and I had no idea why things happen or why a specific answer for a question.

Great for those who need to review their fundamentals. Helpful for people like me who already forgot about derivatives, probabilities, etc.

The last part, Theory of probabilities was very unclear, with not correct explanaitions. Needed another sources to learn. Other parts good

the material could be a little more challenging. If more vector/matrix material is introduced would be more helpful to the data scientists

This course helps me to learn basic math of Data Science very effectively but more math skills are required other than this maths skills!

It's a very nice course, but please could you provide answer keys to the final quizz? It would be very helpful to reinforce our learning

The last part of the course, week 4 is a bit short on example, more examples on how to calculate conditional probabilty will be helpful.

Easy and suitable for beginners with high school math skills. If how the equations are deduced are introduced, it would be even better.

I suggested to provide more examples based on calculation in week 4 parts (probability, bayes theorem), this will enhance this course.

Good video course and quizzes. Not too long.

Only remark is the code in the quizzes, sometimes fractions and formula's are not visible.

Good materials. But examples from learning sections are a lot easier than problems in quizzes. More difficult examples would be great.

Course is to the point nice course. But not PPT or study material is given from the tutor like notes .

Notes would be really helpfull

The probability part is not as clear as the previous ones with quizzes less easily solvable with the information given in the lecture

Week 1 - 5/5

Week 2 - 4/5

Week 3 - 3/5

Week 4 - 4/5

A good introductory course which could do better in explaining some concepts clearly.

Every data scientist needs to know some statistics and probability theory. The amount of math you'll need depends on the role.

Thanks,

It's a excellent course with all of the basic concepts to start in the Data Science World.

Great regards and thank you for the course.

It was a good course for a beginner.But I think the proportion of the course allocated to probability is much less than it deserve.:)

it's a good choice for anyone who wants to refresh or enforce his knowledge, even to discover what math skills a data scientist need

Very comprehensive and challenging - I feel a final quiz would be great but individually, very well though out content and questions

Decent introduction to the math skills. Once this course got to the probabilities section, the difficulty substantially increased.

The course offers a good insight to the maths skills utilized in Data Science. WIll be looking to program all concepts learnt here.

A very great course for begginners but it would be great if the math skills could be elaborated closer to the real world examples.

THE COURSE WAS GREAT. AREAS OF IMPROVEMENT ARE MAINLY IN WEEK 4 CONTENT. MORE SOLVED EXAMPLES WILL BE MORE USEFUL TO THE STUDENTS