A long course compared to others in the specialization, but a lot of great material. Very well presented, the instructors know how to present this material and make it easy to grasp and understand.
The course is full of the cases and the real life examples coupled with the theory background. Its very simple to understand and the course will definitely be of an value for people looking for
By Casey M•
I really liked the extensive readings to supplement the video presentation. I am a visual learner, seeing the words and graphs were a very beneficial supplement.
By GONSAL B C H B•
Thank you for Give me a chance to study this course. I got much knowledge in this Managing Data Analysis. So Thank you again Give this opportunity and lectures.
By Srikanth K S•
Great examples about difference between 'association' and 'predictive' understanding and pitfalls of decision making without knowing which one to be used where!
By Sebastián P•
It's a good course, and the professor is good too. I highly recommend it. = Es un buen curso, y el profesor es bueno también. Lo recomiendo completamente.
By ellen w•
Excellent summary of the data analysis process. As the leader of a data science team, this class makes me want to tell my team to keep up the great work!
By Rumpa G•
Dr. Peng Thank you for the wonderful course..You are a great teacher, you care about the content, logical delivery of content and your audience.
By Mahtab U•
It was very good
Explained every basic details of managing data analyses in a proper manner
Anyone without prior knowledge can benefited from it
By Sanjay K G•
Simple soooooper with nice relevant example and instructor as usual have great grip on the topics and very clean and methodically explained!
Easy to understand what speaker is trying to explain, Good question design, not easy to pass all but really consistent with lecture content.
By Lica M•
I've learned a lot from this course. The deliverance of learning was very effective & the lessons were explained in understandable manner.
By Dhaval G•
Nice description. The tutor is experienced sufficiently. Language and explanation is resourceful. Highly recommended for the beginners.
By Syed J R•
Very well explained the topic how to manage data analysis, pitfalls, things to consider and how & whom to communicate and get feedback
By Jose F•
Excellent course, the instructor is very knowledgeable and provides many examples and use cases to describe the different concepts.
By Evangelos T•
This was the most interesting so far as it got a bit real with examples that put in context all the theoretical analysis. Liked it!
Perfect course everything is understandable , recommend this course for people who entertained in learning big data and statistics
By Thorsteinn A•
Very useful discussion about the philosophy and method of data analysis. The associated text was useful, although somewhat basic.
By LLOYD L•
A very good course for beginners in Data Science. Learned a lot. Some important realizations with the topic have also been made.
By James D•
Excellent summary of the process. The world would be a better place if more people in analytics would follow these simple rules
By Kathryn ( D•
Great professor! Easy to understand and follow and enough examples provided to absorb material covered quickly and effectively.
By Jonathan B•
Great course. I started with the 3rd, my mistake, but it is great. I'll be doing the Executive Data Science Specialization
By Karen B•
Dr. Peng presented very valuable information, but possibly in more detail than was necessary for the scope of this course.
By Karthik S N•
Great course. Does not have to be only for executives. It is a great starter course for anyone who is new to data science.
By Bill W•
Loved this course. Prof. Peng is a wonderful leader and communicator and makes learning the data both exciting and fun!
By PRAJJWAL D•
An excellent course for those who want to begin with data analysis.Creates strong foundation and clears many confusions.
By Gautam R•
Good. Wanted to see some simulations , how the factors are influencing the overall result (in positive & negative ways).