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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
14,449 個評分
2,144 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:

1976 - 使用 Python 进行数据分析 的 2000 個評論(共 2,139 個)

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 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.

創建者 Ramakrishna B

2019年6月19日

More explanations would be great. Its very difficult to understand Data exploration / evaluation sections

創建者 Camilo P T

2020年6月15日

Creo que le hace falta unas guías, toda la información se da por videos. Recomendado para principiantes.

創建者 Kenneth S

2020年1月12日

As always, the final project always ruins good courses. LAZY design of the projects is unacceptable.

創建者 Bjoern K

2019年6月14日

Week 4 is somewhat hard to follow - Here, an overview over the different concepts would really help

創建者 Nadeesha J S

2019年4月11日

I would like to see a final project in this course. It will encourage the learners to do more work.

創建者 Edward S

2020年8月2日

The week 4 lab had issues with pipelines and did not function well and the final exam locked up.

創建者 Miguel V

2020年11月12日

Needs more information on statistical tests. Specifically, when to use one model over another.

創建者 Poorna M

2020年6月24日

Videos in this section could be little more descriptive. It was not in the pace of a beginner.

創建者 Nathan P

2020年1月1日

It was cool to see the stuff at work but I need more hands on practice to really learn stuff.

創建者 Varun V

2018年12月18日

This looks good for experienced but not the best of course for beginners/intermediate level.

創建者 Connor F

2020年3月27日

when it got to model development it got too complicated too fast. The first half was great.

創建者 Badri T

2019年5月28日

Lots of good concepts. However, too complicated and could have been explained a bit more.

創建者 Jesse Z

2019年6月5日

For such a important topic, it seems like the videos sped through some essential topics.

創建者 Debra C

2019年3月24日

Course was worthwhile for general understanding of what can be accomplished with Python.