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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
14,899 個評分
2,236 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

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.

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.

篩選依據:

2051 - 使用 Python 进行数据分析 的 2075 個評論(共 2,238 個)

創建者 Xuecong L

2019年2月16日

Thanks for teaching me the systematic way to do data analysis! However, I found quite a few mistakes in the lectures in this course, hope it will improve!

創建者 Namra A

2021年8月8日

This course was good if you study the course and study the material from other sources and books too ,so it will give you deeper and more understanding

創建者 Hao Z

2019年8月12日

IBM Cloud is difficult to use.

The generated link of notebook will not share the latest version, if you click the share icon before editing the notebook.

創建者 Neo B

2019年2月11日

Data visualization was taught in details in course 7 and regression was taught in course 8. With no backgrounds, the codes in this course are scaring pe

創建者 Goh S T

2020年4月8日

The section on model development and evaluation is not so clear. It is difficult to understand if you have no prior knowledge of machine learning.

創建者 Girgis F

2018年12月31日

Course was great however i felt a lot of material was covered in a short period of time, this course can be 2 or 3 courses based on the content

創建者 Guillermo M M

2018年8月20日

It is missing a last project like in the two other courses... It would have been quite fun to be able to apply what we learnt in a project.

創建者 A P

2019年6月14日

Lots of spelling and grammatical errors that made it difficult to understand some of the material. It is otherwise an interesting course.

創建者 靳文彬

2020年3月11日

There is no slides to download or review after class which makes it hard to go over the knowledge again without watching the video again

創建者 Siwei L

2020年1月23日

The video is too short and many concepts remain unclear or poorly explained. More contents need to be added to the questions and tests.

創建者 Carlos G R G d l C

2020年3月26日

It's an excellent course; the best part is the labs. It's a pity that we (the students) have a lot of problems loading the labs.

創建者 Pedro F

2019年8月22日

Little bit confusing, unstructured and not easy to follow. Material inside is good though, but the course needs to be improved.

創建者 sangeet a

2020年4月8日

Things are too fast in this course and many things remain unexplained which makes it difficult for one to understand properly

創建者 Dominic M L C L

2019年9月15日

Too many errors in the code and explanations. Makes it very difficult to understand which is the right procedure/conclusion.

創建者 Adam J L J H

2020年5月24日

This course focuses a lot on the theory and explanation. However, there isn't much hands-on practice for the coding itself.

創建者 Osama W

2020年8月25日

*No response to some questions/comments on the forum

*More details/thorough clarification required for some points covered

創建者 Rishika A

2020年3月26日

There are many errors and this was even the toughest course I have taken yet since many things were not explained clearly

創建者 Kuzi

2020年5月6日

Course is flawless but when i had a technical challenge the Coursera team were clueless on how to fix it.

Otherwise good.

創建者 akash t

2020年7月11日

Few of the video requires improvement in terms of its quality. Particularly the lectures corresponding to week 4 and 5

創建者 Teofilo E d A e S

2019年4月16日

Too complex for easy understand. Should have some documentation explaining the process and comparing the new methods.

創建者 Julia S

2022年2月11日

I​t is okay in the sense that you learn something but the questions should be harder and it should go more in depth.

創建者 Vrinda M K

2019年11月25日

Topics covered are important but videos end abruptly as if narrator was saying something more and video just ended

創建者 Marc T

2020年2月3日

why is sharing of the notebook worth 3 points? That has absolutely nothing to do with python or data analysis!

創建者 Abhishek K

2019年8月26日

Model creation and analysis part are too short, should have more details to understand the concepts better.

創建者 Sarah s

2019年1月2日

This course seems to have an exponential increase in a learning curve. It seemed to be all over the place.