Aug 20, 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.
Nov 12, 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.
By jose c•
Jun 11, 2019
Claridad del contenido entregado del curso
By Carlos A H•
Jun 30, 2019
Excellent overview of implementing practical data science; however, an area of improvement is emphasizing machine learning as a practical solution for finding answers especially with large and complex data sets.
By Fayez A S•
Jul 07, 2019
It opened new understanding for me. Loved every bit of it.
By Paulo B M d S•
Jul 08, 2019
The authors really present real situation and challenges that data scientists face in their daily activities. Very good.
By Manuel E•
Jul 08, 2019
Good review of everything that can go wrong… and eventually will.
By Neil N•
Feb 17, 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
By Gustavo V•
Apr 14, 2019
Help me understand what can I expect from a real data science project.
By Nachum S•
Jul 13, 2018
Good, a bit long for the material.
By Humna A•
Oct 30, 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
By SANTOSH K R•
Jan 07, 2017
More real world examples are required
By Boris L•
Oct 05, 2015
Very nice overview of what can go wrong in a data science project and what to pay attention to.
By Paulose B•
Oct 31, 2016
Short session need more handson excercise
By Setia B•
Dec 07, 2017
I really enjoyed the course :)
By Paul C•
Nov 04, 2016
A solid course with lots of practical advice.
By Warren L•
May 05, 2017
Appreciated the anecdotes as they allowed me to remember the learnings in context
By Siddharth T•
Apr 03, 2016
Again a course with depth in content but the presentation of the course could improve , it seems a bit patchy and pre-reads would help.
Oct 27, 2016
Dr.Caffo is really well-versed with his field but I feel like concepts should be given more concrete examples so that they seem more interesting. Respect him all the way!
By Keuntae K•
Mar 25, 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.
By Kian G L•
Aug 13, 2016
Is good to have some data science background to enroll in this course, overall still good to learn and get the hint of how real life data scientist life is.
By TCHUENTE D•
Oct 19, 2016
good course, but focus more on inferential analysis than predictive analysis
By Andrew W•
Nov 02, 2017
Great examples and explanations of real cases, very helpful for general understanding of concepts.
By Scott K•
Oct 11, 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.
By Deepak G•
Jun 28, 2016
Quality of this course is better than the rest of the specialization.
By Udaypal S N•
Nov 25, 2017
Need more focus on other industries like Telecom, Banking, Manufacturing, Semi-Conductor, etc.
By Reginald D F•
Dec 23, 2017
I like that this course examples the many ways an experiment/analysis can go wrong and how to address these issues. Very practical for the practitioner.