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學生對 IBM 提供的 使用 Python 进行数据分析 的評價和反饋

4.7
10,407 個評分
1,470 條評論

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

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.

SC

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.

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1101 - 使用 Python 进行数据分析 的 1125 個評論(共 1,460 個)

創建者 Sergio F C C

Jun 20, 2019

You learn a lot, good intro to data science with python. Labs have typos and can be confusing at times though, the only thing that could be improved.

創建者 Aurangazeeb A K

Oct 13, 2019

A very interesting and easy course. Anyone can catch up with big concepts with little effort. Thank you Coursera and IBM for this wonderful course.

創建者 Sucheta

Sep 03, 2019

Course is nicely designed and pare explained well.

I would have liked to see the steps along with the final answer to the peer assignment questions.

創建者 Ponciano R

Feb 26, 2019

Great course to start learning python applied to analysis, but after this, I prefer to use R. Less complicated and can obtain the same results.

創建者 Sifat S

May 17, 2019

I find this course useful. But some of the contents are little advanced all of a sudden and feels some important explanations are not covered.

創建者 Emmandi V

Jul 21, 2019

Through out the course i have learned alot like data visualisation mainly.I think i have completed successfully basics for machine learning.

創建者 Randall G

Sep 27, 2018

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 Shreyas S

Jan 31, 2020

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 TooMuchSauce

Nov 14, 2019

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 Aurelio L G

Jan 18, 2020

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

創建者 William O

Mar 27, 2020

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

May 12, 2019

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 In W C

Oct 03, 2019

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

May 10, 2020

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

Jan 22, 2020

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 Tsungai J M

Oct 12, 2019

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

Jun 30, 2019

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

創建者 RANGA D

Apr 28, 2020

Good for an individual who is passionate about data science

Thanks course era for providing the course

#datascience enthusiast

創建者 RICHARD D

Oct 11, 2019

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

創建者 G D

Aug 24, 2019

This is the good course for beginners. Great Explanations for pandas, EDA and scikit learn model analysis. Good to try this!

創建者 Rohan B

Jun 14, 2019

This is an excellent for anyone who wants to learn about analyzing data and preparing and training the model,visualizing it.

創建者 Mohnish M

May 30, 2020

It was good, could've been a little for detailed and with a few more examples but it was still great and easy to understand

創建者 Alexander T

Sep 30, 2018

Very clear and effective course to get the basic principles of performing Data Analysis with Python. Highly recommendable.

創建者 Akshay B

Mar 28, 2020

The course content is good. However, some ready to use short notes type material should be provided for future references

創建者 陈嘉琪

Aug 29, 2019

Actually I don't think there are enough coding practices, but the videos are great learning materials for new starters.