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 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.
By Rose C•
I really like the last 4th and 5th sections for data model creation, analysis, evaluation and refinement. Very enjoy this course!
By Annissa Z•
This course is simple though practical to the real problem. It harnesses my fundamental skills on data analysis with practices.
By Shiv k•
It was very informative and data analysis is explained from basic to high and the explanation of each and every topic was clear.
By Achal P•
This course is really useful for those who exactly wants to know how data visualize and normalize and how we predict the data .
By Periklis K•
This course is an essential fist step that you should follow if you want to get a good and thorough introduction on this topic!
By Alfonso P•
Excellent Course, develops data Scientist skills associated with the methodology associated with the Data Science Certification
By Mayank S•
This course has been very helpful for me. I've learned so much in this course. Thank you to the team for making this worth it.
By Sagea T•
It is a very challenging course, I would've like a course project to practice and utilize all the skills taught in the course
There are some important concepts covered (hyperparameters, training data), the visuals are good, but the tests are too easy
By Amol G•
very good course and i have learn lot of skill of data science from this course
also it contain very good project at last .
By Lakshminarayana D•
Its was a great learning experience working with model fitting, different methods and different data visual representation.
By Jeevan P•
Nice course with lot of content. It would be nice if extra content is provided to learn about some of the topics in depth.
By Jonathan T C•
Pretty cool course, I really appreciate the material in here, i learned a lot about data analysis in here. Awesome Thanks!
By Johann D J O H•
Is a great course and you can learn some functions to develop models to predict results. All with the big python language
By Kang R K•
The fastest way to learn Python's famous libraries such as pandas, numpy, scikit-learn, and etc, as tools of data science.
By Tom M•
Really great overview. Outlines how to create an example predictive analytic from tart to finish in a really cohesive way.
By Cinmoy D S•
One of best course.As usual IBM courses are very useful.Specially the labs are very helpful.But more topics are expected.
By Oğuz K M•
the course is clear and understandable with comprehensive contents about using python and build basic modelling pipeline.
By Jacob S•
Great information. Definitely worth every second of time spent. I will be coming back to this course later for reference.
By Neeraj S•
Teaches the basics well. Suits someone who has prior fundamental knowledge as the course hits the main points succinctly.
By Irteza A N•
I find it worth the money taken the teaching methodology is excellent and even an average student can gain a lot from it.
By Dennis M K•
Thanks to this course i have a better grasp on the data science analysis and methodology. The instructors are brilliant.