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.
por Amit C•
This course is very helpful as it is more industry oriented. I have personally found this course to be very smooth and beneficial for learning.
por Mariia G•
Excellent course, provides all the needed information, practical examples. The way how material is presented is very convenient for learning.
por Uzair A•
Very well thought out course to help someone kick-start their career in data science/analysis. Really loved the videos and the lab exercises.
por Ramanuj M•
The course gave a brilliant insight into data analysis using Python. Some issues related to deprecation will hopefully be resolved with time.
por Juan J L M•
The couse was good but final assignments were wrong, I request teacher to perform the grades because my final % of the course can be higher.
por 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
por 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
por 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!
por Chew W T•
love how the content is organize and deliver in this course. Suitable for people like me who have no prior experience in Python. thanks!
por Sivamurugesh A•
This is such a great course for data analysis giving details of the different python modules for regression and other model training etc.
por Jorge A I A G•
Excelente curso, gracias al laboratorio y ejercicios guiados es fácil comprender la teoría vista en los módulos, totalmente recomendable.
por Devaashish S•
Hard work, patience and perseverance is the key to complete the course.
Awesome content but require rigorous attention for accomplishment.
por 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.
por 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.
por 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.
por 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!
por 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.
por Hassan A•
Amazing course with amazing instructors. Practical labs were so awesome. Thank you Coursera and IBM for making million dreams possible.
por 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.
por 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.
por Nurullah K•
Course is great, especially for beginners. It teaches you with hands on labs and gives you the necessary fundamental about the theory.
por 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.
por prahlad p•
For anyone not exposed to Python environment - it is an excellent hands on beginning. The concepts are explained by hands on practice.
por 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.
por Amitangshu D•
Just that some of the questions asked in videos were inappropriately timed, often at middle of sentences and words of the narration.