学生对 IBM 提供的 使用 Python 进行数据分析 的评价和反馈

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.

This course introduces the different pandas libraries that are mostly used in the data analysis using python. The student will learn about data wrangling, exploration, modeling, etc.

Overall great lesson, learned a lot from it! But some code of Lab Nothbook might not give desired output and need modification, and material about Watson Studio might need upgraded.

This course has given me skills to clean data, visualize data and evaluate models using different Python libraries. Great course and recommend it to anyone interested in analytics.

Superb explanation of the topics required for data analysis with a thorough hands on training of Python programming makes this course one of the best courses I have done till now.

The course was very insightful, coming from knowing almost nothing about data analysis of python, it was easy to understand while not feeling while following the steps provided.

It is very interesting course. Before taking this course, I feel Python is complicated programming language.Now, I feel interesting about advancing technical skills with coursera

A rewarding experience because I have been able to learn very valuable information. It is an excellent course. It has helped me in the personal and professional field. Thank you.

Este curso es un gran acercamiento inicial al tema de Ciencia de datos, es muy intuitivo para las personas que no tienen conocimientos de Phyton, estadística o ciencia de datos.

I have learnt new things in python, like Linear regression and Ridge regression. Through different projects I gain an insight of how I can manipulate data and predict variables.

A course that goes direct to the point saving you loads of time of researching and learning things alternatively. In simple words, this course was CLEAR and DIRECT to the point.

Really this course shows the full path to master the Data Analysis with Python. This path is short, helpful, and rich information their. thank you at all and thank you Coursera

Excellent training.

This course will greatly improve my ability to become well versed in Machine Learning AI using Python!

Many thanks to the IBM staff and to Dr. Santarcangelo!

Highly recommended course. All i was about data analysis with using Python as a tool. In this course you can learn basic econometric, python, and of course how to analyse data.

This was a very interesting course, all the topics are very well explained, I learned more about how to validate data or how to create models to classify data, thank very much.

This is far by the best course delivered with ease of understanding for anyone.I loved the short videos to keep things interesting and the various examples.I LOVE THIS COURSEE

Really useful in terms of the practical application of regression models.

It simplifies traditional approaches with easy to run staff direct to b be applied to solve problems.

Very informative and challenging course. I particularly enjoyed the mix of video content and questions and the labs allow you to practice the content in a guided environment.

this course was a useful course for how analysis data with python. I think it's a very good choice to learn how to analyze data with python.

thank you so much for this course.

This course was pretty heavy going but I really liked the fact that there was constant testing through the whole process. So, heavy going but well paced. Thank you very much.

Very comprehensive learning process of how to know, manage and wrangle your data which sometimes is the most important and time consuming portion of any data science project.

I am highly impressed with this course !!

This course is very informative. Regular assignments helped me a lot to learn and to complete my course on time before the deadline.

This one is actually dense in content and, unlike the previous courses, doesn't force you to use IBM's tools. It could really use some grammar and layout checking, though.

The course is a great start for applied machine learning or Data science. Yet you should be familiar with Ml-algorithms and a python 3.o, consider these as prerequisites.