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!
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!!
By Duc T•
Good materials. But examples from learning sections are a lot easier than problems in quizzes. More difficult examples would be great.
By Giulio P•
The probability part is not as clear as the previous ones with quizzes less easily solvable with the information given in the lecture
By vignesh a•
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.
By Abdulrahman M•
Every data scientist needs to know some statistics and probability theory. The amount of math you'll need depends on the role.
By Luan d S•
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.
By Vidya C•
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.:)
By Hichem D•
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
By Atsushi T•
Very comprehensive and challenging - I feel a final quiz would be great but individually, very well though out content and questions
By Rinav S•
The course offers a good insight to the maths skills utilized in Data Science. WIll be looking to program all concepts learnt here.
By Ricardo V•
A very great course for begginners but it would be great if the math skills could be elaborated closer to the real world examples.
By Priyadarshini S•
THE COURSE WAS GREAT. AREAS OF IMPROVEMENT ARE MAINLY IN WEEK 4 CONTENT. MORE SOLVED EXAMPLES WILL BE MORE USEFUL TO THE STUDENTS
By Dyandra P W•
Although I've already learned these but I had so much fun reviewing and gaining new insights on the materials! Thank you so much!
By Mohd F E B A•
Though that this course was too simple but actually it is quite an eye opening and refreshing for the last two topics. Well done!
This is a interesting course . I learned lot of new things from this course .This course will be beneficial for me for my future
By Juan N R A•
Me gustarían mas ejemplos en el tema de probabilidades. Bayesian y Binomial.
Gracias por la dedicación y compartir conocimiento
By Heather H•
I enjoyed the class. I haven't taken probability in over a decade so it was rough learning it again. Thank you for the class!
By Alefiyah F•
Excellent course. I would recommend adding on more optional practise exercises for those who have haven't done this in a while
By ayman m•
probability section needs to be reviewed. i felt difficulties in learning and i went to khan academy to clear bayezian theorem
By Eugenio P•
The instruction is great in presentation however it is far too shallow for the depth of the questions expected on the quizzes.
By Yuvraj M•
The Course was structured pretty well! Like the tutors. More Support could have been offered for the last two modules though!
By Saurabh C•
Well taught. I felt Bayes Theorem could have been explained a little better. However, overall a wonderful course. Thank you.
By Eman A•
its very good course,,but i didn't mark 5th star because course need more excercises on each lesson special at probabilities
By Maksym F•
Thanks for course! Only advise I can give - change the name to "Basic Math Skills for Data science". Course is pretty easy.
By JAGDISH R A•
I understood all the basic math skills behind the data science Field. Very good explanation of probability part and so on.
By Mohamed M A E•
It is very good course but need to add more exercises (examples), reading materials in addition to more and longer videos.