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 Akshay k•
Apr 19, 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.
By Dr D M•
Jul 29, 2020
This course is very interesting and worthwhile. we are living with data in our real life. good lectures. thanks to all team.
Dr DVNS MURTHY, DIRECTOR, BADRUKA COLLEGE, KACHIGUDA, HYDERABAD.
By Federico J D F•
Sep 09, 2020
The course was very interesting and complete. The lectures were interesting as well. The reading material could be improved by adding more articles to reinforce the theory and examples.
By Lai Y W @ L Y W•
Aug 21, 2020
Slightly difficult for non data science background people, but is manageable to have a dip into this course and stimulate a "real life" experiences shared by course insructor.
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 Nishant J•
Mar 05, 2018
Examples used in this course are related to Lifescience and candidates like me find it difficult to correlate. It would be beneficial to use some common life examples.
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 JOSEPH A•
May 09, 2018
Good course - I'm now confident to oversee an end-to-end data science experiment. Some interactivity would make this the perfect overview of data science.
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.
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.
By Vivek V•
Mar 08, 2020
A very well crafted course, with apt messaging and good assessments. Was able to learn a lot about the nuances of Data Science
By Karthik S N•
May 01, 2016
Good concepts - apply to anyone new to data science.
Lot of good 'read further' links and materials. Learnt a lot.
By Andrew W•
Nov 02, 2017
Great examples and explanations of real cases, very helpful for general understanding of concepts.
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 Udaypal S N•
Nov 25, 2017
Need more focus on other industries like Telecom, Banking, Manufacturing, Semi-Conductor, etc.
By Natalya K•
Jul 08, 2017
A bit difficult to understand compared with other course of the specialization, but useful
By Warren L•
May 05, 2017
Appreciated the anecdotes as they allowed me to remember the learnings in context
By Morie H H K•
Aug 31, 2020
Good for the start but need more insight explanations with hands-on practicals
By Debasish M•
Feb 02, 2017
Practical approach and gotchas to consider for doing data science in real life
By TCHUENTE D•
Oct 19, 2016
good course, but focus more on inferential analysis than predictive analysis
By Gustavo V•
Apr 14, 2019
Help me understand what can I expect from a real data science project.
By Deepak G•
Jun 28, 2016
Quality of this course is better than the rest of the specialization.
By Chris C•
Nov 22, 2017
A little difficult overall but had some key points to take away.
By Jomo C•
Jan 28, 2018
Good course, Longer than expected. Very satisfying at the end
By Rorie D•
Apr 20, 2016
great approach, thanks. A few typos, but otherwise great.