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.
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.
By EDINSON A R D•
For the begginer this is an excellent start in data analysis. Helpful examples and tools to make the course really interesting and complete
By Melonica M•
Well crafted course with easy to follow lab to learn the concepts. Great course were prepared by the tutor Joseph Santarcangelo. Thank you
By Sweta G•
It was a wonderful course. They have explained all those hard concepts in a pretty easy way.
Thank you team for clearing all the concepts!
By Jorge A I A G•
Excelente curso, gracias al laboratorio y ejercicios guiados es fácil comprender la teoría vista en los módulos, totalmente recomendable.
By Devaashish S•
Hard work, patience and perseverance is the key to complete the course.
Awesome content but require rigorous attention for accomplishment.
By Pablo V V•
I feel i need more exercises to be more fluently on coding. It would be useful to memorize all those commands. Thank you for your course.
By Chirag S•
The instructors were very good in explaining the concepts. It was a great experience. I would recommend this course for my fellow mates.
By Ishita A•
There are minor inconsistencies with the course but once you get started with the lab practice you'll be able to find them out yourself.
By Ela D (•
Great content and clear explanation, made data analysis with python easy to apply by step by step excamples! Thank you for this course!
By Abhaya K S•
This is really a good course to do for all the data science enthusiasts. The content is really very good. Good explanation of concepts.
By Hassan A•
Amazing course with amazing instructors. Practical labs were so awesome. Thank you Coursera and IBM for making million dreams possible.
By Ariful H K•
Toughest and longest course so far for the IBM Professional Certificate in Data Science. Need to study more and give much time on Labs.
By chang l•
This course is much better than " python for data science", much more clear and detail. This course should be learned before that one.
By Nurullah K•
Course is great, especially for beginners. It teaches you with hands on labs and gives you the necessary fundamental about the theory.
By Mesar M M A•
This course gave me full knowledge about how to analyze data. I highly recommend it to those who are willing to become a Data Analyst.
By prahlad p•
For anyone not exposed to Python environment - it is an excellent hands on beginning. The concepts are explained by hands on practice.
By Muhammad Z•
One of the best course that I have taken. Starts from foundations and leaves you where you can be on your own in further discoveries.
By Amitangshu D•
Just that some of the questions asked in videos were inappropriately timed, often at middle of sentences and words of the narration.
By OMKAR R N•
very good and descriptive course . learned a lots of things . both programming and mathematical concepts . Labs are very helpful .
By uttam g•
Great course for beginner
Learned lots of new things from this course .Being a beginner it was really tough but thanks to instructor
By Chris B•
Great way to learn, at your own pace when it suits you. Course was well set out taking you from easy content to harder at the end.
By Harsh N M•
Great learning experience with lot of quizs and assignment testing one's understanding. Waiting to learn and complete more courses.
By Peter G•
Challenging, but very rewarding course with code that will help you with all your data science endeavors down the road. Thank you!
By guanyu w•
super helpful this course i love the labs and also i found the professors of this course replied quickly about students questions
By Abhijit S•
Very good for beginner. Explained at right pace and lab course and test ensures you understand the steps while able to reproduce.