Aug 27, 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 9, 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.
By Shelley L•
Feb 20, 2022
Took about 3 hours to do this course, most of it is common sense but it's nice to have it formalised and some key points to think about which will help you frame sensible questions as an executive sponsoring a project.
By Tirthankar C•
Dec 27, 2020
The course is beautifully designed & help mid level managers like me who wants to bring value by introducing AI / ML. This is the first course I completed in courser. Next I am targeting "Building a data science team".
By Mohammad A G•
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.
By levi o•
Oct 5, 2020
I enjoyed the classes, very informative, a good balance of the reading material & video lectures. Flexibility in scheduling. Being a first time in online courses, I loved it, well done to my lectures & this platform.
By 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.
Sep 7, 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.
By Bimal D M S•
Dec 14, 2020
A great course that provides an overview of the Data science and Data Analysis. I would recommend this to beginners and as a pre requisite to folks who want to take in-depth courses on Data science or Data Analtics
By 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.
By Li X•
Oct 2, 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.
By Rajat K•
Oct 8, 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.
By 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.
Sep 1, 2020
Very clear explanations, I liked the readings and the videos suggested by the instructors other than the course ones. I've never studied Data Science, but I think this course is a very good starting point.
By Shashwath S•
Aug 5, 2020
Great course to jump into as a complete newbie in Data Science field. Thanks to the professors to handle the course with lots of real life examples. Highly recommended for anyone with a new interest in DS.
By 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.
By 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.
By 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!
By Hoang N q•
Jun 22, 2021
Very practical insights for someone new in the field. The explanation from the authors for every topic cannot be more succinct and all comes with many good examples illustrating the essential concepts.
By CHIRANTAN D•
Oct 1, 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 .
By 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
By Andreas O•
Jan 7, 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.
By 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.
By Juan M•
Jan 2, 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,
By 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.
By 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.
By 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.