Aug 28, 2016
Is really hard to summarize the potential of Data Science and being clear, but I think that the instructors have done their best, so that we can achieve the most from the Course.\n\nGreat Job!
Sep 10, 2017
This is a great starter course for data science. My learning assessment is usually how well I can teach it to someone else. I know I have a better understanding now, than I did when I started.
автор: Gaurav D•
Jan 13, 2020
This was an excellent introduction to data science although early exposure to data science and technology trends helped me understand it better. This weeks course helped me clear some of the basic concepts that I wasn't aware of.
автор: Debtanu D•
Apr 24, 2020
This was really a very good and comprehensive course about Data Science for people like me from Pharma backgroun who have no relation with statistics or analytics. Very simple language and seamless flow to understand the basics.
автор: Scott R H•
May 30, 2016
Great overview. The distinction between statistics and machine learning gets a little fuzzy, but probably because I never took statistics, and have only used machine learning in a limited context. Really enjoyed it, thanks.
Mar 04, 2020
An insightful course that prepares leaders to strategize their data science initiatives. The course provides best practices when applied rightly improves an organizational ability to answer questions effectively with data
автор: Milling, T•
Nov 12, 2019
The course gives a good general understanding of Data Science and to understand some of the tools and techniques used to acquire data, analyzing data and to answer questions to determine if the data acquired is beneficial.
автор: Christos R•
May 26, 2019
This is a nice crash course for executives, that avoids technical details. A slightly more in-depth study of what machine learning is and how it works may be needed, but this is of course covered with following courses.
автор: Jason A G•
Oct 04, 2016
The crash course is true to its word. It gives you a fast paced overview about data science. However, the learner is advised to read more about the matter. The free e-book is more than enough to give a solid background.
автор: Seyed M A G F•
Mar 25, 2017
I liked the course. The only problem of this course is it was a little bit advanced for a person like me who did not have any idea about data science. Otherwise it's a good course to start learning about data science.
автор: Shawn J•
Jun 27, 2018
It is a good introductory session to Data Science for general business/technology managers. They use layman's term to describe important concepts and business prerequisite to run successful DS team and organization.
автор: Sakib M•
Sep 07, 2017
Great course for a non-quantitative, non-data scientist like myself. Really like that the course is grounded in the real world - i.e. is teaching data science with a view to solving real-world, important challenges.
автор: Ian L•
May 17, 2017
Thanks guys, I did not know much about data science before this course, but now I want to pursue it. A lot of this info can be easily studied from the transcripts but it is a great foundation for courses to come.
автор: Li X•
Oct 03, 2019
Definitely connected the dots together for me. Easy to understand and shed light on how to making progress on more learnings. Now I am not afraid of any data science questions because I have a good big picture.
автор: Rajat K•
Oct 08, 2016
As of now I have forgotten what I learned in the course but I am taking data science as a specialization , so this course would definitely be useful. Mr. Caffo has a good personality and good narration skills.
автор: Johnny S•
Nov 21, 2016
Great introduction for those getting into data science but don't have the statistical background. The knowledge gained in this course can be applied immediately to anyone looking into leveraging data science.
автор: Sheikh H•
Nov 22, 2017
VERY USEFUL TO LEARN AND UNDERSTAND THE BASICS ABOUT WHAT DATA SCIENCE IS AND HOW IT IS WORKING IN REAL BUSINESS ENVIRONMENT. THANKS FOR THE TEACHERS UNIVERSITY AND COURSERA TO PROVIDE SUCH A NICE COURSES.
автор: Rohit K S•
May 10, 2018
The content is just right ! Without the fluff and the video lectures utilize each second of one's time. The additional links and reading makes the course really interesting and relevant to practical life.
автор: Shirish P•
Jan 13, 2018
Awesome way, esp. for busy employees, executives and managers, to get an overview of this increasingly important field. Thanks to all instructors and Johns Hopkins, as well as Coursera, for offering this!
автор: CHIRANTAN D•
Oct 01, 2015
It was a great course .You can get idea about Machine Learning from this as well .Relevant information about data science .Well explained examples .Got clear knowledge about data science .Goof course .
автор: Beeram L R•
Dec 25, 2015
Highly Enlightening for those who just beginning to learn data science,
The courses are very detailed and well organized,
All the aspects of the data science are introduced in intriguing manner
автор: Andreas O•
Jan 07, 2019
Gives a very brief overview of data science. If you have some experience it might be a bit superficial, but it is nevertheless a clean introduction to data science from a management perspective.
автор: Anna S•
Nov 23, 2017
A very interesting course, expecially for someone with just a little experience in the field. I highly recommend it to all business / IT / project managers who work a lot with data scientists.
автор: Juan M•
Jan 02, 2018
It is a very good course even if you are familiar with some aspects of data science work. If I have to make a suggestion, I would remark the importance of design skills during a data product,
автор: Maysoun D•
Aug 28, 2016
Is really hard to summarize the potential of Data Science and being clear, but I think that the instructors have done their best, so that we can achieve the most from the Course.
автор: Kaiquan M•
Oct 23, 2016
This was really a crash course in various aspects of data science, with words being thrown around and defined for a lay person like myself. Overall, this was a good course for beginners.
автор: Peter T•
Jul 13, 2018
Great introduction. What I found interesting is being able to reflect on projects I have been on relating to data analysis and seeing the steps, benefits and pitfalls explained for me.