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!!
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!
By Hauwa A•
Week 4 gets confusing as more examples could help explain concepts. Otherwise overall course is great for basic math skills for Data Science
By Gary H•
Introduction to some basic mathematical terms. Conducted in an easy-understand way. Not very clear explanation in the part of probabilities.
By Ysa G•
Great for those who need to review their fundamentals. Helpful for people like me who already forgot about derivatives, probabilities, etc.
By Aldiyar S•
The last part, Theory of probabilities was very unclear, with not correct explanaitions. Needed another sources to learn. Other parts good
By Phoebe ( Z•
the material could be a little more challenging. If more vector/matrix material is introduced would be more helpful to the data scientists
By Suriya S•
This course helps me to learn basic math of Data Science very effectively but more math skills are required other than this maths skills!
By Mai D T C•
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
By PO-HSIU L•
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.
By Su M•
Easy and suitable for beginners with high school math skills. If how the equations are deduced are introduced, it would be even better.
By Wouter S•
Good video course and quizzes. Not too long.
Only remark is the code in the quizzes, sometimes fractions and formula's are not visible.
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