(44 reseñas)
SM
19 de ago. de 2017
A very good and concise course that helps to understand the basics of the Data Science and its applications. The examples are very relevant and helps to understand the topic easily.
ES
11 de nov. de 2017
Highly educational course on the realities of data analysis. Many good tips for your own analyses as well as for managing others responsible for coherent and accurate analyses.
por Flt L G R
•22 de jul. de 2020
THANKS...
por DR. S T C
•14 de jul. de 2020
Excellent
por Mohammad S H S
•19 de jun. de 2020
Thank you
por Wladimir R
•30 de sep. de 2018
Excellent
por Ahmed T
•24 de abr. de 2017
Excellent
por Reiner P
•30 de may. de 2020
Perfect
por David C
•7 de may. de 2020
awesome
por Chander W
•10 de nov. de 2019
Amazing
por Hector R C C
•17 de mar. de 2019
thanks!
por Bauyrzhan S
•13 de jun. de 2018
Perfect
por hossam m (
•2 de dic. de 2020
Thanks
por Mathew G
•16 de ago. de 2020
great
por DR. M E
•27 de abr. de 2020
good
por ALAA A A
•11 de ene. de 2018
good
por Dr V G
•21 de jul. de 2020
OK
por Augustina
•29 de dic. de 2016
Some of the material here was repeated from other courses but overall I felt this was my favorite course in the series. I particularly appreciated the real life examples of what can go wrong with data collection and suggestions/best practices for how to handle that. It gave me a lot of ideas for how to deal with some uncertainties I was facing in some of my own research.
por Clifton d L
•6 de dic. de 2017
Great that the messy reality is acknowledged and not only the perfect theoretical data science is explained, but also the things that usually go wrong (and how to mitigate these issues).
Some of the quiz with "check multiple answers" didn't seem clear to me / I found opinionated.
por suman c
•4 de mar. de 2018
Expected few more real life examples and hope to see some basics of Formal modelling. Found myself lacking in understanding the formal modelling concepts and how to arrive at the formulas.
Other than that the course helped me to get started in Data Science.
por Keuntae K
•25 de mar. de 2018
This is a good course, overall. Maybe providing more general examples related to the topics of the course makes this course much more useful and helpful for people who do not have any backgrounds of brain or neural systems in medical science like me.
por Humna A
•30 de oct. de 2018
Awesome course! the only negative thing is that all the examples are related to biostatistics. Examples related to other fields like economics, social science, psychology etc should have been included. Besides that it was a great experience
por Juan F D T
•10 de may. de 2020
Brian makes a terrific job trying to explain in simple terms what a real life data science effort takes. Sometimes it was a little hard to understand because of how the instructor spoke but nothign hat a rewind and replay wouldn't fix.
por Neil N
•17 de feb. de 2019
Good overview of the reality of the challenges in data science. A glaring miss from my perspective was any real focus on the challenges of ML/AI based analysis. This module was really focused on traditional statistical modeling
por Scott K
•10 de oct. de 2015
I really enjoyed the comparison of what is ideal vs. what actually happens when it comes to data science. This was a very practical course and gave insight into what to expect from data science and analysis.
por Sam L
•3 de sep. de 2020
One more thing to add. The link to Study.com works. But Study.com wouldn't let me watch the whole video anyway; it requires registering and subscribing (after trial period is over). Not useful.
por Akshay k
•19 de abr. de 2020
It was kind of hard to understand as I did not have any professional experience in data science. But, I am sure I can work in a professional environment now with the teachings of the professor.