19 août 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 nov. 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.
par Dr D M•
29 juil. 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.
par Federico J D F•
9 sept. 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.
par Charissa B•
11 janv. 2021
Helpful ideas to consider and use when managing a team of data scientists, especially helpful are the principles for dealing with on-the-ground data science work (vs ideal environments)
par Lai Y W @ L Y W•
21 août 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.
27 oct. 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!
par Nishant J•
5 mars 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.
par Kian G L•
13 août 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.
par JOSEPH A•
9 mai 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.
par Reginald D F•
23 déc. 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.
par Kitven L•
30 déc. 2020
Many real life examples but in the courses the instructor introduced some new concepts which could be useful if get into more details of them.
par Siddharth T•
3 avr. 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.
par Vivek V•
8 mars 2020
A very well crafted course, with apt messaging and good assessments. Was able to learn a lot about the nuances of Data Science
par Sheila O•
2 janv. 2021
Materials and lectures were really helpful. Would like to have seen a bit more on prediction analysis in real life.
par Karthik S N•
1 mai 2016
Good concepts - apply to anyone new to data science.
Lot of good 'read further' links and materials. Learnt a lot.
par Adeyinka O•
30 nov. 2021
Content is rich, seem like so small but detailed and require good concentration to enjoy the quizes with ease
par Barnali G•
1 avr. 2021
Great from an overview perspective. Certainly learnt the overall basics as I was hoping to be able to.
par Andrew W•
2 nov. 2017
Great examples and explanations of real cases, very helpful for general understanding of concepts.
par Boris L•
5 oct. 2015
Very nice overview of what can go wrong in a data science project and what to pay attention to.
par Koshan E•
8 juil. 2021
A very good and interesting course that gives you a good stepping stone regarding Data Science
par Udaypal S N•
25 nov. 2017
Need more focus on other industries like Telecom, Banking, Manufacturing, Semi-Conductor, etc.
15 déc. 2020
Gives enough understanding of data science in related fields, but course is complicaed enough
par Natalya K•
8 juil. 2017
A bit difficult to understand compared with other course of the specialization, but useful
par Warren L•
5 mai 2017
Appreciated the anecdotes as they allowed me to remember the learnings in context
par Morie H H K•
31 août 2020
Good for the start but need more insight explanations with hands-on practicals
par Debasish M•
2 févr. 2017
Practical approach and gotchas to consider for doing data science in real life