学生对 IBM 提供的 使用 Python 进行数据分析 的评价和反馈

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.

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.

One of the greatest courses to become familiar with different Python libraries for machine learning, more specifically, the Pandas library, in which we should have the ability to work with "dataframes".

I'm really over-whelmed!...And I mean it. After completing this course one can get a clear insight of data. All topics are clearly explained. All lectures and labs are well structured. Thanks Team IBM!

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

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

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.

A compact course. Good one who want to learn within a short period of time. But if one wants to understand the topics well, then he/she should go through the documentation of respective libraries.

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.

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.

A great introduction to fitting data in python.

The core principles and measures are well explained.

The only slight minus point: No information about the interpretation of fitting parameters.

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!

Well arranged course that covers the essentials statistics with Python. But be aware this is an elementary course that may be a little too easy for those who have experiences in statistics.

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.

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.

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.

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.

I like this course more than anything. As this course give me many useful insight of model as well as this included the many things like from model fitting/training to improve the model.

The course is very hands-on focused and that's great. Nevertheless, if there were some documents that summarize the week content (attibutes or codes characteristics) would be fantastic.

It is a good course on Data Analysis for both predictive and descriptive analysis. I think there should be more practice assignments for more hands on experience on predictive analysis.

Great content, clear video and concrete examples. One may wish to have more mathematical justification for some computations and functions, but it is the subject of a different course.

Muy bien explicado, con las herramientas necesarias para adquirir habilidades en modelamiento por medio de regresiones lineales simples y multiples asi como la evaluación de los mismos

Ha sido de los mejores de la serie hasta el momento, fue retador y muy bien explicado. Finalmente aprendí en que consiste la construcción de un modelo estadístico de regresión lineal.

The course helped refresh some of math and statistics learnt from university and provided a good overview of using python codes and functions to analyze complex data science projects.

Lessons of the course are easily understanding with great explanations. Exercises are practical and easily applied with a free online website. I am greatly satisfied with the course.