I started this course without any knowledge on Data Analysis with Python, and by the end of the course I was able to understand the basics of Data Analysis, usage of different libraries and functions.
perfect for beginner level. all the concepts with code and parameter wise have been explained excellently. overall best course in making anyone eager to learn from basics to handle advances with ease.
By Xiangyu L•
There are lots of mistakes throughout the courses
By Abdul M A•
Not very interactive with fewer help to learners
By Ashwin G•
Too fast and could have included more examples.
By Gerhard E•
Copy of videos, not a fan of tools used in labs
By Yasmin A•
Un cours riche et adéquat pour les débutants
By Hiro H•
Very nice course. It gives you what you need
By Brian S•
Notebooks are sloppy, with typos and errors
By Fariha M•
The course didn't seem challenging to me.
By Sachin L•
More examples and detailed explanation
More examples and code examples needed
By Hamed A•
The course needs a final assignment!
By piyush d•
exercises could have been better.
By Jyoti M•
I felt it was too fast to grasp.
By Baptiste M•
Final assignment is quite messy
By Murat A•
could not access the labs.
By Yuanyuan J•
Not clear on the last part
By Ahmad H•
This course is very tough
By conan s•
Lots of technical issues
By David V R•
Exams should be harder
By Riddhima S•
la lala la la laa aaa
By Daniel S•
Not easy to follow.
By TATOU D T•
très bon cours
By Vidya R•
By James H•
Definitely not one of my favorite courses in the Data Science Certificate series. There were times I was ready to give up the pursuit of the certificate altogether during this class... There should have been a prerequisite for this course of the statistical tools and methods that would be covered in here... Sure I could program these things after this class, but i still dont understand why I would choose to use one over another? This is one of those classes where you walk away feeling more confused than when you went in... Also there were a lot of mistakes, typos, and obsolete things in the labwork - some reported and acknowledged months ago, but still not fixed in the lab (video I can understand, but not the labs)
By Ruben W•
The content is good, but if you are not familiar with Python, I wouldn´t recommend this course. There are a lot of typos in the video. The code contains a lot of errors where you have to find a solution. So, you are forced to debug their code often.
But if you are only interested in the course certificate, you could quickly go through the videos and quizzes, without any problems. It's easy to pass because the questions are like: What is the result of print("Hello world"). So no real challenges at all.
Please, try to fix the typos. Sometimes it was very embarrassing. Example (Week 3) instead of
"from sklearn.metrics ..." the video comes up with "from sklearn.metrixs ..."