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!
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: Mike S•
Quick and informative for those new to data science.
автор: Bhavesh P P•
One of the best introduction on data science course
автор: Kieran H•
Overall very good and easy to follow and return to.
автор: Anubhav S•
Great quick overview of core data science concepts.
автор: Subba R•
This course gave a high level view of Data Science.
автор: Ana C G O•
Great to have an idea about what Data Science means
автор: Deleted A•
Really organised, simple, the teachers are awesome.
I enjoyed this course. It gave a quick and thorough
автор: Muhammad A•
very small and easy to understand and worth to take
автор: Darwin d G•
Concise Learning in Data Science. Excellent Course
автор: Laurel G•
great refresher and takes aout the number of hours
автор: Mohit M•
This is a good course for basic overview on Data S
Very good summary of introduction to data sciences
автор: Jhon C•
Excellent Material and good explanations. Thanks.
автор: Néstor A M•
Great course to start learning about Data Science.
автор: Deleted A•
Good intro to the concepts. Not technical at all.
автор: Teo C Y•
Good introduction of a few essential key concepts.
автор: Isabel C N D S•
Very good introduction to the Data Science world!
автор: Evren O•
Informative. Very nice introduction to the topic.
автор: Dinindu K H W W•
Quick catchup of the broad domain data science :)
автор: Gustavo V•
A brief but helpfull introduction to Data Science
автор: Bauyrzhan S•
An uderstand and interesting introductory course.
автор: Haiping S•
My first Coursera learning experience. Very good!
автор: Ajay P•
Excellent course, material and superior teaching.
автор: Akash R•
Awesome course for the beginners in data science