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 Jasdeep S W•
The course helps understand the fundamentals of Data Analysis
By Sergey V•
I'm feeling the I need some practice to acquire the knowledge
By Chris B•
Great overview of the issues we face on analytic projects.
By Manjunatha V M•
Very nice flow of concepts, good explanation and examples.
For learn method and idea about data analysis ,it is good.
By Kalvin L•
Very good online learning course regarding Data Analysis
By austin v v•
Another fantastic leg of this course. Clear and precise.
By Tosif M•
Best explanation methodology followed. Best Experience !
By Rogelio C G•
Great job! the best course of the specialization so far
By Yılmaz M•
If you read this review. you should joined this course.
By Muhire I•
Great course and the materials and the tutors are great
By Miaojun Z•
Great instructor and helpful course materials! 5 stars!
By Aleksey S•
The examples are saviors here! Nicely done, thank you!
By Alberto D E•
Just the right depth for a Data Science team manager.
By Liz A d S B•
My favorite course from the Specialization until now.
By Alvin B•
This is very useful in my business and informative..
By Masixole B M•
It has the best content and the quiz aren’t that bad
By Jennifer L D•
A brisk and effective introduction to data analysis!
By Lorenz F•
Great introduction to the process of data analysis!
Outstanding course. The lecturer made it very easy
Very good balance between content and presentation
By Zoey Z•
Very good brief introduction of the data analysis
By Nachum S•
Excellent content, well explained, good use cases
By Gayatri A•
Amazing course . Must for all data professionals.
By Siddhartha S•
Crisply covered critical aspects of Data Analysis