May 06, 2020
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.
Apr 20, 2019
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.
교육 기관: Jonathan I O•
Jul 15, 2019
This course provides a robust walk-through in the use of python for data analysis. The labs ensure the theories taught are put into practice through hands-on projects that further reinforces skills learned. I loved it!
교육 기관: Aman S•
Mar 26, 2020
A very detailed course. The hands-on exercises were really good and I got to learn a lot of things from this wonderful course. Thanks to all the instructors for their hard work in putting together such a course for us.
교육 기관: Roseline A•
Jul 09, 2020
This is a great course. I went away with so much knowledge on modelling and model testing. The labs are also very well structured and not just a repetition of the class presentation. I recommend this course highly.
교육 기관: Ferenc F P•
Feb 26, 2019
The beginning of the course helps you understanding how you can manage your data with python. In the end linear regression, and ridge regression is also introduced. Good course for those not familiar in this field.
교육 기관: Carlos A•
Aug 30, 2018
Excellente content and very didactic laboratory. There is a lot of information in the course and at the same time it encourages me to investigate and further develop, particularly in Model Evaluation and Refinement
교육 기관: Ashutosh P•
Apr 29, 2019
Thank you so much for creating this is great learning and useful course that I got for Data Analytics.This course is very beneficial for all to enhance the knowledge about data analysis with Python.Thank you sir.
교육 기관: Nilo V•
Jun 28, 2020
I find the course well organized and the lab sessions made use of relevant instruction that I can use for my daily work. The final assignment could be more challenging. Overall a very helpful learning experience.
교육 기관: RAM K A•
Apr 20, 2020
Excellent explanation about the topics and helpful examples. Course requires reading outside the course module for better understanding. Will be helpful, if you could run the program on the window and explain us.
교육 기관: Daniel L•
Oct 13, 2019
A rotating three-dimensional plot may be added. Its very easy and practical to complement the analysis presented. Otherwise the course is very complete.
Also, the pipe explanation may be improved a little bit.
교육 기관: Seemant T•
Apr 24, 2020
I am reviewing this course after the completing it. It was a good learning experience!!
The entire course is based of the student interaction and requires basic knowledge of Python and its Libraries.
교육 기관: VRUSHABH A L•
May 07, 2020
Very good course to begin with in the field of Data Science. The analysis of data is very important before we start implementing predictive models on the data, which has been covered very well in the course.
교육 기관: Gerson C H•
Feb 05, 2020
Its a great introduction a clear explanation about Machine Learning, generation of linear regression models and all the things to do before to the analysis front the data. I'm very excited and gratefullnes.
교육 기관: Daniel K•
Oct 25, 2019
Grate course. Really straight forward. I live the design of this course (a lot of quizzes to harden knowledge). I couldn't find any code for box plot during course and I had to make one during assignment.
교육 기관: Saravanan S•
Jul 02, 2020
This course is very good and it covers all the fundamental concepts used by pandas and numpy. It covers the linear regression, ridge search, grid search, polynomial regression and Pipeline construction
교육 기관: Dominique D•
Apr 06, 2020
It gives a very good introduction on most of the basic statistical methods. It is a bit challenging to absorb it all, but all by all very doable. I enjoyed this one and learned a lot from it! Thank you
교육 기관: Carol L•
Apr 22, 2020
Me gustó aprender procesos de análisis de datos, algunos un poco complejos de entender pero se saca el tema. Seria bueno colocar algunas referencias para ir mas en detalle en algunos puntos complejos.
교육 기관: Himanshu S•
Jul 30, 2020
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.
교육 기관: Usman A•
Jul 29, 2020
AN excellent course. Hands-on training on the cloud makes an individual really involved. So far the best online course I have ever taken, and I have learned Python programming a lot from this course.
교육 기관: Carlos D•
Apr 16, 2020
Great Introduction to Data Analysis, the concepts going from the basic to deep in data-testing and data-training, as well as several applications linear and polynomial regression to data analyze.
교육 기관: Sapna Y•
May 23, 2020
Data analysis with python has a high standard of content.I hope this is useful for me to crack DS interviews.The content is well structured.Quizzes,assignment and video lectures are corelated.
교육 기관: ALFIYA K•
Jun 14, 2019
Enthralling and motivating course! Lectures and practices are conveniently balanced! Labs are so excited and realistic! Many thanks to all creators and teachers for such kind of awesome job!
교육 기관: Juan E F A•
Feb 15, 2020
It was an excellent way to begin in the path of data science. I really enjoyed all the knowledge they shared. I'd lie if I say that it was a piece of cake, but it wasn´t impossible, either.
교육 기관: Narasimhan, S•
May 25, 2020
This was a good course to understand some of the analysis concepts that are available.I would rate this course for anyone who wishes to have a good foundation of Data Analysis with Python.
교육 기관: Dr. J N•
Apr 17, 2020
This course precisely and comprehensively covers important aspects of Data Analysis with Python. I strongly recommend this course for those who are serious about Data Science using python.
교육 기관: Carolinne O R M•
Sep 25, 2019
Excellent course, it helped me a lot to get started with Python. Still today I always consult my personal notes on this course to perform data analysis in all types of projects I work on.