The syllabus of the course takes you in a roller-coaster ride.\n\nFrom basic level to advance level and you won't feel any trouble nor hesitate a bit.\n\nIt's easy, it's vast, and it's really usefull.
it becomes easier wand clearer when one gets to complete the assignments as to how to utilize what has been learned. Practical work is a great way to learn, which was a fundamental part of the course.
By Wesley v W•
No way someone without Python experience writes the final assignment code unassisted.
By Azat G•
I think it is very good course to start data science with python. Modern methods and python libraries for data manipulation are included.
But as course was first created at 2017, there are some small parts of IBM Cloud setttings has been changed. This makes misunderstanding at week 4, then you need to use cloud servises.
Fortunately I understood that services became simpler. But I ask creators to fix the "creating project" part.
By Ioana B•
Very good course, you can gain a lot of knowledge through well explained videos and labs.
One small issue though. There's a reference in the final Lab to a tutorial called PROVISIONING AN OBJECT STORAGE INSTANCE ON IBM CLOUD. This tutorial was not previously mentioned at all throughout the course.
By Khaing W S•
this is the touch week for me cos there is getting trouble in creating storage , bucket and credential on ibm cloud. Finally I passed the steps and got the certification. Actually very experience week.
By Deleted A•
The course was indeed helpful to learn Python, made it very simple. Though the final test had question which was not very detailed - like I was not clear where to get the GDP data for US etc.
By Stephen S•
With MATLAB being my programming fluency, Python was very confusing at times.
This was the course I needed to explain the most common data types in python in a clear and very concise manner.
By Lakshminarayana D•
Great Learning Experience. Syllabus structure is great to learn python program, algorithms, connecting database and retrieving the records using data frame. Thanks to the professor.
By Javed A•
What a brilliant way of learning. This course proved a real treat for me. I really enjoyed this course. Thanks COURSERA for producing such a high quality course contents.
By Abhinav B•
There are some issues related to the last assignment. Some more clarity about the use of IBM watson studio would be useful for the students who attends this course.
By Deleted A•
Compared to other introductory courses, I liked the things taught. Simple yet very useful and seamless to learn. Could be even better with more practice or labs.
By Dianying Z•
Great class! it would be better if the final task instruction could focus more on python itself than on the storage system.
By Diego H•
Lo unico que puedo decir es que amo Python, es un lenguaje super potente para el analisis de la informacion
By Lisa K•
Very comprehensive and the format was able to get me using Python right away. The hands on is fantastic!
By Renato L R•
outstanding hands on training, very easy to understand how to apply the theory on the class labs
By Dashiell Q S•
I've never touched Python before this course. I'm so glad I started with this specialization!
By Ranjithkumar P•
Kudos to the team, the course is really brief and practical to give lot of real-time insights
By Karen B•
An excellent class for providing the specific Python functions for performing data science.
By Congcong X•
Not a big fan of this course. As a beginer, I feel a lot slides aren't intuitive enough.
By Abi G•
I have understood Python basics and handling data with python. Thanks for this course
By CHIN-HUNG, Y•
perhaps the quizzes should include some numpy nd array stuffs.
By Rudolph M N•
really good overview and introduction to python syntax and simple packages
By Vineet D•
Great course. Need to add labs as graded assignments. Would be better
By Bilal S•
Learned a lot. Excellent Instructor.Quality Education
By Xin W•
Nice fundamental course for python implementation in data science.
By Vardges Z•
Good introduction of Python for beginners. Thanks to IBM.