27 de ago de 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!
9 de set de 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.
por Shelley L•
20 de fev de 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.
por Tirthankar C•
27 de dez de 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".
por Mohammad A G•
25 de mar de 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.
por levi o•
5 de out de 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.
por Shawn J•
27 de jun de 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.
7 de set de 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.
por Bimal D M S•
14 de dez de 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
por Ian L•
17 de mai de 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.
por Li X•
2 de out de 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.
por Rajat K•
8 de out de 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.
por Johnny S•
21 de nov de 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.
1 de set de 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.
por Shashwath S•
5 de ago de 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.
por Sheikh H•
22 de nov de 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.
por Rohit K S•
10 de mai de 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.
por Shirish P•
13 de jan de 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!
por Hoang N q•
22 de jun de 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.
por CHIRANTAN D•
1 de out de 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 .
por Beeram L R•
25 de dez de 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
por Andreas O•
7 de jan de 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.
por Anna S•
23 de nov de 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.
por Juan M•
2 de jan de 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,
por Maysoun D•
28 de ago de 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.
por Kaiquan M•
23 de out de 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.
por Peter T•
13 de jul de 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.