May 5, 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 19, 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.
By QUAN Z•
Feb 25, 2019
The course perfectly fits those who has some knowledge on python and want to do data analysis with it. It explains how professionals would process data, build model with the data, and use the model to solve a real problem.
By Min T A•
Mar 18, 2021
This course covers exploratory data analysis and even furthers onto machine learning with some key statistical introduction such as Linear Regression, Correlation, P-value, F-score, etc, explained in its most clear form.
By K58 L D Q•
Sep 25, 2021
A very interesting and informative course. I have access to the foundational knowledge in using Python for Data Analysis. The labs are helpful as well. I know I can apply the lesson I've learned in real life, real work.
By Pranav K J•
May 10, 2020
Very good course and well designed , so that a new person also can understand it very well. They way it is taught is admirable. I will recommend, the aspiring data science Engineer, must take this course specialisation!
By Jonathan I O•
Jul 14, 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!
By 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.
By Yan Y J L•
Aug 28, 2022
The course structure is clear. I can recall the concepts learnt in the previous chapters on this course.
The Final Assignment rubic is clear. I know what I should hand in to prevent mark loss due to misunderstanding.
By Katja K•
May 25, 2022
Really helpful course to learn the basics of pandas and scikit-learn. The videos were easy to follow and very clear, and they were complemented well with the lab notebooks and quizzes. Thank you to the organizers! :)
By hamidreza m•
Sep 29, 2022
As a data scientist in retail industy I recommend this course to you because this course has lots of meaningful topics and educated professors are teaching you.
Hope you the bests and enjoy learning with Coursera!
By Paul A•
Sep 24, 2020
I think this course is the highlight of the Applied Data Science specialization. I learned so much and gave me the tools to learn more on my own. It was really engaging and I never had a dull moment in this Course.
By Roseline A•
Jul 9, 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.
By 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.
By Carlos W 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
By Brian B•
Dec 5, 2020
Very "meaty" hands-on work with doing some data wrangling, exploratory analysis and models with single linear, multiple linear, and polynomial regression fits. I took several hundreds of lines of code in my notes.
By 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.
By 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.
By 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.
By Aditya A M•
May 22, 2022
Extremely helpful course for those who are new to the terms of machine learning concepts are well explained and sufficient practice taken in Lab modules and the last peer-graded assignment helped me learn a lot.
By 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.
By Ricardo R M•
Oct 16, 2022
This course provided me with the necessary knowledge and tools to introduce me to the field of creating and evaluating data analysis models to make predictions with Artificial Intelligence and Machine Learning.
By 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.
By vrushabh l•
May 7, 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.
By Mustaquim A•
Mar 29, 2023
This was a great course and I learnt a lot about data analysis. Instructions were very clear and precise and the course overall was amazing. Recommended Highly who are beginners or intermediate in python.
By Gerson C H•
Feb 5, 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.
By Victor A d S•
Jun 13, 2022
Even though I know a little about pandas, with this course I was surprised and I was able to learn even more, besides, the examples of statistical tests that are essential in data analysis are very useful.