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學生對 IBM 技能网络 提供的 使用 Python 进行数据分析 的評價和反饋

4.7
15,272 個評分

課程概述

Learn how to analyze data using Python. This course will take you from the basics of Python to exploring many different types of data. You will learn how to prepare data for analysis, perform simple statistical analysis, create meaningful data visualizations, predict future trends from data, and more! Topics covered: 1) Importing Datasets 2) Cleaning the Data 3) Data frame manipulation 4) Summarizing the Data 5) Building machine learning Regression models 6) Building data pipelines Data Analysis with Python will be delivered through lecture, lab, and assignments. It includes following parts: Data Analysis libraries: will learn to use Pandas, Numpy and Scipy libraries to work with a sample dataset. We will introduce you to pandas, an open-source library, and we will use it to load, manipulate, analyze, and visualize cool datasets. Then we will introduce you to another open-source library, scikit-learn, and we will use some of its machine learning algorithms to build smart models and make cool predictions. If you choose to take this course and earn the Coursera course certificate, you will also earn an IBM digital badge. LIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate....

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RP

2019年4月19日

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.

SC

2020年5月5日

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.

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1801 - 使用 Python 进行数据分析 的 1825 個評論(共 2,310 個)

創建者 Randy G

2018年9月26日

I feel like this section needs some more hands on labs. Great topic over view and application. Not to much in the way of math unfortunately.

創建者 Saurabh A

2020年8月1日

Good course for beginners. Can introduce little more concepts such as multi-collinearity, model accuracy etc to make it even more complete.

創建者 Victor D S C

2021年7月7日

A great explanation of the concepts and methodology in data analysis , i wish we couldve gotten more peer reviews like the last excercise

創建者 Shreyas S

2020年1月31日

It was a good course overall. Would prefer explanations at a slower pace and more examples for each of the techniques explained.

Thank you!

創建者 Kunal J

2019年11月14日

Content : 5/5

Labs : 5/5

Final Assignment : 3/5 (It was quite easy to complete as there we instructions and code already written for you).

創建者 Prasad T

2021年1月29日

need better practise questions preferably to write program instead of multiple choice answers plus needed more theory of the topics given

創建者 Jonathan B

2020年6月25日

Great material. Very comprehensive. The only knock is sometimes the slides, notebooks, and quizes have typos or are not super-organized.

創建者 Aurelio L G

2020年1月17日

Una visión muy amplia con acercamiento a una amplia variedad de herramientas. Faltan más ejemplos de uso, ejercicios y casos prácticos.

創建者 Subhasish D

2020年7月13日

The learning are too basic, trust me in real world things are much critical. Probably coursera can help us with that kind of knowledge

創建者 William O

2020年3月27日

One the greatest course of Data Analysis. The info given about statistics is very important and accurate.

Thank you to the instructors.

創建者 Matthew A

2019年5月12日

The more advanced portions of the course felt a bit rushed without enough examples and hands-on work to really reinforce the concepts.

創建者 Jan M v d B

2021年7月24日

Learned a lot about statistical analyses in this course, but the easiness of the assignment and grading quizzes make it unfulfilling.

創建者 In W C

2019年10月3日

Other than some minor errors and bugs, I think this course gave good introductory material that can be supplemented with other books.

創建者 Cindy N P P

2020年5月10日

There should be another grading method for the final task, that a system is in charge of assigning the grades, not other classmates

創建者 Oscar J C

2020年1月21日

The course is well designed, however, in some videos exist misspelling functions that may confuse when you try to test on your own.

創建者 Sujith K S

2020年10月20日

Seemed a bit rushed towards the end. Advanced topics such as pipelines, polynomial transformation, etc were not explained clearly.

創建者 Maddipudi p

2020年12月24日

content is great.playback speed can go bit slow for students like me from India language is bit hard to understand at that speed.

創建者 Tianyue Q

2022年4月26日

Give a general overview of how to do data analysis with a brief intro of how to apply machine learning in a real life scenario.

創建者 Tsungai J M

2019年10月12日

Some areas were a bit complex and required additional reading outside of the content provided but overall I enjoyed the course.

創建者 Marc S

2019年6月30日

Great course explaining some data analysis techniques. Some minor errors in voice track and material, but overall good content.

創建者 ASIF I T 1

2022年5月13日

The course was really good. But I would've liked to face more problem statements to practice what I was taught in this course.

創建者 Ajith B

2021年7月14日

Good Course. But many content's have been packed in this small one , I guess additional reading content could have been given.

創建者 Jorge I L C

2020年8月19日

muy bueno, este curso deberia ser el 2do o tercero en esta seccion, se ve bastante de lo que usa un data science normalmente!

創建者 RANGA D

2020年4月28日

Good for an individual who is passionate about data science

Thanks course era for providing the course

#datascience enthusiast

創建者 RICHARD D

2019年10月11日

This course give a brief Understanding Of Data Analysis with python. Thanks to the IBM for making us part of The IBM family.