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.
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 JOHN W E•
29 de abr de 2020
Brian is an amazing teacher. He just miniaturized the basics of data science in a week and I could still understand better all the necessities of it, Thank you for making such a course. I highly appreciate it.
por ARVIND K S•
4 de jun de 2020
Exceptional course in conveying a real life situation, vastly different from an ideal one. The course puts you up to speed in handling such situations with aplomb.
por Elitza K•
5 de mai de 2021
well structured, very clear and vital examples; extremely useful and practical recommendations. I've enjoyed the course and have learned a lot of short time!
por Manjunatha V M•
7 de jan de 2017
Clear explanation of various concepts with good examples. Of course, reference to some cool cartoons from time to time made the concepts more memorable!
por Carlos J•
20 de set de 2017
Esta serie de cursos, es recomendable para iniciar en la carrera de Ciencia de Datos, conceptos claros, expuestos por catedráticos de primer nivel
por Alfredo O G•
14 de nov de 2016
An amazing course for those who are not very familiar with statistics and a very refreshing perspective for those who actually knows statistics!
por Gurpreet K K•
2 de ago de 2021
The lecturer has obvisously been through all the issues and learnt about them, perhaps first hand. It was a delight! Thanks so much!
por Edgar A C V•
14 de mai de 2018
I just finished this course but I cant enroll to the last one (I have 4/5 course in this moment). Can you please help me?? thanks!!!
por Gautam R•
17 de mai de 2020
Wanted some practical examples - of calculating P values with sample set of data & analyzing/reporting on it with inference.
por Emmanuelle M•
10 de out de 2018
Great course, although, if you are not already working or have knowledge in this particular filed/topic, it is challenging.
por Michael L•
31 de mar de 2018
An excellent overview of the topic material without a lot of unnecessary clutter. Well-organized and -communicated. Kudos.
por Paulo B S•
8 de jul de 2019
The authors really present real situation and challenges that data scientists face in their daily activities. Very good.
por Roque A•
23 de set de 2018
Very easy to follow with good examples. The focus on this course was on practicality and I really appreciated that
por Victor D R L•
29 de mai de 2020
This is a very good course but challeging. There is just too many concepts, recommendations and ideas to tackle.
por William K•
4 de jan de 2017
Excellent course. The material is good enough that will help me where to look for information, considerations, a
por Alberto D E•
14 de mai de 2018
A crash course on what can go wrong in real Data Science projects, and how to improve your chances of success.
por Ryan M S•
10 de nov de 2019
I found this course to be the most enjoyable and knowledge benefiting of all the courses I've taken thus far.
por Elton K•
14 de dez de 2018
Interesting for a Non-Data Science Executive despite some minor spelling errors in video transcripts.
por Matthias L•
27 de ago de 2017
This is very useful and a good primer on what to look out for when working in real life. Well done!
por Sambit K D•
8 de dez de 2020
The instructor Brian Caffo is very knowledgeable and great presenter. Has real practical examples.
por Bart P•
12 de abr de 2019
Very useful course! I really enjoyed the technical not so much the statistical part of the course.
por Paul S•
28 de jan de 2017
Helpful tips for handling problems during the several life cycle stages of a Data Science project.
por Mauricio L•
22 de jun de 2019
Great course. It delivers a fantastic framework to assess the process of successful Data Science.
por Ayna M•
13 de dez de 2017
Loved all the examples to explain the terms like confounding, blocking, surrogate variables etc.
por Abid C•
10 de jul de 2017
It is not easy to make experience fell like "a simple" course, congratulation and thank-you .