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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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1876 - 使用 Python 进行数据分析 的 1900 個評論(共 2,310 個)

創建者 Nur C N

2019年7月11日

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

創建者 Adrian A

2022年3月26日

Good background knowledge.

Assignment did not have a model answer script provided for peer review

創建者 Umesh S

2020年7月21日

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

創建者 Fahad R

2020年6月28日

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

創建者 Sajal J

2019年10月19日

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

創建者 Adam A

2022年2月1日

Peer Review Assignmnet is flawed - not all students assess properly and give incorrect marks.

創建者 Letshabo M

2021年7月20日

This course has given me a good start up to analysing with python. Thank you IBM and Cousera.

創建者 Puneet K U

2020年4月12日

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

創建者 Manal C

2019年9月10日

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

創建者 shaikh s

2019年9月10日

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

創建者 Abdullah h

2019年10月12日

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

創建者 Sanskriti T

2020年5月17日

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

創建者 Munir N

2019年10月17日

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

創建者 Rubén G

2020年4月11日

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

Thanks.

創建者 E. R " A

2020年3月28日

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

創建者 Sven B

2019年9月26日

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

創建者 AHMED A

2022年5月9日

i think you it's better to make the question of the exam harder with add extra steps

創建者 Will S

2020年3月29日

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

創建者 Lawrence F

2018年12月18日

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

創建者 Md. S R

2021年9月14日

Some syntax is wrong. However, more explanation is required for proper explanation!

創建者 Marcel M R

2019年7月17日

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

創建者 Akash M

2020年1月26日

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

創建者 Edinson R S A

2020年3月5日

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

創建者 PD T

2019年12月29日

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

創建者 Diego S

2019年9月22日

I think needs to append more exercise. Too much content for a few of exercises