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.
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.
par JOHN W E•
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.
par ARVIND K S•
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.
par Elitza K•
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!
par Manjunatha V M•
Clear explanation of various concepts with good examples. Of course, reference to some cool cartoons from time to time made the concepts more memorable!
par Carlos J•
Esta serie de cursos, es recomendable para iniciar en la carrera de Ciencia de Datos, conceptos claros, expuestos por catedráticos de primer nivel
par Alfredo O G•
An amazing course for those who are not very familiar with statistics and a very refreshing perspective for those who actually knows statistics!
par Gurpreet K K•
The lecturer has obvisously been through all the issues and learnt about them, perhaps first hand. It was a delight! Thanks so much!
par Edgar A C V•
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!!!
par Gautam R•
Wanted some practical examples - of calculating P values with sample set of data & analyzing/reporting on it with inference.
par Emmanuelle M•
Great course, although, if you are not already working or have knowledge in this particular filed/topic, it is challenging.
par Michael L•
An excellent overview of the topic material without a lot of unnecessary clutter. Well-organized and -communicated. Kudos.
par Paulo B S•
The authors really present real situation and challenges that data scientists face in their daily activities. Very good.
par Roque A•
Very easy to follow with good examples. The focus on this course was on practicality and I really appreciated that
par Victor D R L•
This is a very good course but challeging. There is just too many concepts, recommendations and ideas to tackle.
par William K•
Excellent course. The material is good enough that will help me where to look for information, considerations, a
par Alberto D E•
A crash course on what can go wrong in real Data Science projects, and how to improve your chances of success.
par S R•
I found this course to be the most enjoyable and knowledge benefiting of all the courses I've taken thus far.
par Elton K•
Interesting for a Non-Data Science Executive despite some minor spelling errors in video transcripts.
par Matthias L•
This is very useful and a good primer on what to look out for when working in real life. Well done!
par Sambit K D•
The instructor Brian Caffo is very knowledgeable and great presenter. Has real practical examples.
par Bart P•
Very useful course! I really enjoyed the technical not so much the statistical part of the course.
par Paul S•
Helpful tips for handling problems during the several life cycle stages of a Data Science project.
par Mauricio L•
Great course. It delivers a fantastic framework to assess the process of successful Data Science.
par Ayna M•
Loved all the examples to explain the terms like confounding, blocking, surrogate variables etc.
par Abid C•
It is not easy to make experience fell like "a simple" course, congratulation and thank-you .