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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
10,133 個評分
1,427 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....

熱門審閱

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.

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.

篩選依據:

1051 - 使用 Python 进行数据分析 的 1075 個評論(共 1,417 個)

創建者 Timothy B

May 08, 2020

I could have used a little more explanation when it came to Pipelines and Polynomials, but I figure there will likely be more of that to come in the later courses.

創建者 Siddharth T

May 01, 2020

The course is a good start for beginners. The course contained everything useful form churning of data to regression. Pretty decent explanation with practice labs.

創建者 Eliseo B F

Feb 11, 2020

Most of the course is very easy to understand, although the exercises in the notebook can become complex, the exercises do not always run and must be done again.

創建者 Harshit T

Sep 22, 2018

Fun course! Lots of interesting content. It could've been more interesting and challenging with addition of a couple of marked assignments or a capstone project!

創建者 Sebastián M

Apr 22, 2020

Muy buen curso, por mejorar: varios errores en los talleres y también no fue posible ingresar a estos durante varios días lo cual atrasó el proceso de estudio.

創建者 Kedharnath A

Apr 15, 2019

I found this module very difficult to understand as it was loaded with high end concepts and coding. Might have to redo this course to understand even better.

創建者 Manoj S

Mar 10, 2019

Course content is very good but I feel it can be more improved if the training is provided at slower pace. Also the examples should be in detail. Overall good

創建者 Andrés C P A

Jan 31, 2020

I think it would be good if the units had activities to deliver mandatory since that would allow to strengthen the knowledge acquired. Thanks for the course.

創建者 Faizan A S

Dec 01, 2019

The course content is really great and method of teaching is very specific .Much details very covered during the course and really i gained a lot from this.

創建者 SOUVIK B

Aug 31, 2018

Good course if you are beginning data science. You don't need much of python experience but will be better to have if you want to quickly finish the course.

創建者 Sreelatha V

Jan 05, 2020

Very detailed and guided course that provides an overview of data analysis in Python with short assignments after each video and interesting lab courses.

創建者 Katarina S

Mar 22, 2020

One of the best courses in the IBM Data Science Specialisation.

I would like to have more quiz questions and opportunities to practise what was covered.

創建者 Frank

Aug 31, 2019

I would have given it 5 stars but they barely went over polynomial regressions and pipelines and it was a major portion of the end of class assignment.

創建者 Wenyu X

Apr 02, 2019

pros: well organized, clearly explained each step, useful

cons: frequent errors in both videos and the lab, especially on the questions part in the lab

創建者 Maksym S

Sep 03, 2019

Final exam was too complicated. I have 2 masters degree and for me it was clear, but for other it is too complicated.

P.S. it is my personal opinion

創建者 BINAY K

Jul 06, 2019

Course is good, but in this short course it is covering lot of thing thatswhy lot of topics are just touched intead of going little bit deep into it.

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).