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学生对 IBM 提供的 使用 Python 进行数据分析 的评价和反馈

4.7
13,307 个评分
1,948 条评论

课程概述

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....

热门审阅

SC
May 5, 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 19, 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.

筛选依据:

1551 - 使用 Python 进行数据分析 的 1575 个评论(共 1,928 个)

创建者 Vicente C L F

Nov 18, 2019

Very good course! I just missed more deep content as optional reading in Ridge, Grids and Pipelines.

创建者 Juan D M G

Jun 17, 2020

Muy buen curso y muy buenos laboratorios! SIn embargo a veces no explican la teoría tan al detalle.

创建者 Shrinidhi S

May 9, 2020

My assignments with the correct answers were only given partial marks.Pls do the need for the same.

创建者 Daniel O V

May 6, 2020

I think it should have a higher level of difficulty, not so much more difficult but a little more.

创建者 Fab T

Jan 30, 2019

Great! Still thinking in go back to review the details that maybe I missed.. But excellent course.

创建者 Reinhard H J

Oct 18, 2019

I learned some new things, but I think more attention should be given to the theoretical aspects.

创建者 Nur C N

Jul 11, 2019

Too much information in one course, it's good but need to be put more example to make it clearer.

创建者 Umesh S

Jul 21, 2020

may be a course or module on statistics may be more helpful to get better insight of this course

创建者 Fahad R

Jun 28, 2020

Very comprehensive course but it would be great to add some more material from basic statistics.

创建者 Sajal J

Oct 19, 2019

Good for learning basics of data analysis using simplest explanation methods .HIGHLY RECOMMENDED

创建者 Puneet K U

Apr 12, 2020

Very well structured course, but it felt a bit easy. You can make it a bit more challenging!

创建者 Manal C

Sep 10, 2019

Very condensed, and requires additional research for those without a programming background

创建者 shaikh s

Sep 10, 2019

i think its a better way to learn python and will be eligible for job in any organization.

创建者 Abdullah h

Oct 12, 2019

this course is so great but the last 2 section (week 4 and 5 needs some more explanation

创建者 Sanskriti T

May 17, 2020

This course is great!!! I loved it and provides better understanding of data analytics

创建者 Munir N

Oct 17, 2019

Again very good designed by IBM and Coursera. It was a bit tough but good for learning

创建者 Rubén G Z

Apr 11, 2020

Please include more examples in the laboratories, for a better interpretation.

Thanks.

创建者 E. R " A

Mar 28, 2020

An extraordinary well-designed course with excellent courseware and tests. A triumph!

创建者 Sven B

Sep 26, 2019

Good quality, a little bit is missing the background explanation for some techniques.

创建者 Will S

Mar 29, 2020

The labs weren't available for a period of time, but the information is very useful!

创建者 Lawrence F

Dec 18, 2018

Covers a bunch of useful stuff pretty fast. That may prove a problem in the future.

创建者 Marcel M R

Jul 17, 2019

Week 04 and Week 05 are very confusing and only scratch the surface of the subject!

创建者 Akash M

Jan 26, 2020

nice and balanced course i like the assignments in this course a lot to learn here

创建者 Edinson R S A

Mar 5, 2020

Good course, more explanation of the interpretations of the results will be great

创建者 PD T

Dec 29, 2019

Better explanation could have been given for beginners, otherwise, it was good.