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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
13,853 个评分
2,048 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:

1901 - 使用 Python 进行数据分析 的 1925 个评论(共 2,042 个)

创建者 Bjoern K

Jun 14, 2019

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

创建者 Nadeesha J S

Apr 11, 2019

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

创建者 Edward S

Aug 2, 2020

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

创建者 Miguel V

Nov 12, 2020

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

创建者 Poorna M

Jun 24, 2020

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

创建者 Nathan P

Jan 1, 2020

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

创建者 Varun V

Dec 18, 2018

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

创建者 Connor F

Mar 27, 2020

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

创建者 Badri T

May 28, 2019

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

创建者 Jesse Z

Jun 5, 2019

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

创建者 Debra C

Mar 24, 2019

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

创建者 Mil Á

May 13, 2020

Exelent training to get familiar and intruducing to Python capabilities and programing

创建者 Xinyi W

Jan 26, 2020

Superfacial level of Python while being not very through on the data analysis methods.

创建者 Ana C

Jun 11, 2019

To short

Goes to fast in some aspects, the theory is completely missing in this course

创建者 Sathiya P

Aug 27, 2019

Nicely thought, but I felt concepts like Decision trees, Random forest were missing

创建者 Rosana R

Aug 12, 2019

The course is too long. The material should be divided and explained more detailed.

创建者 Amanda A

Apr 16, 2020

There were many typos in the labs which made it difficult to understand at points.

创建者 Juan S A G

Aug 20, 2020

very simple exercises which does not help to learn altough videos were exeptional

创建者 Mohsen R

Jun 16, 2020

The course does not explain the processes enough, there should be more examples.

创建者 Maciej L

May 16, 2019

Too many complicated things happening at once. It is hard to digest and follow.

创建者 Tomasz S

Nov 19, 2018

Few small hiccups with the training videos and quite a few in the lab-excercise

创建者 Steven B

Jun 3, 2020

Overall I felt it was not broken down very well and seemed confusing at time.

创建者 Pierre-Antoine M

Feb 19, 2020

Videos are nice but they are mistakes in the notebooks that disturbs learning

创建者 Toan N

Mar 27, 2020

The lab is disconnected every so often that can't complete it smoothly.

创建者 Jessica B

Jun 14, 2019

Good content, but lots of typos. The outsourcing is extremely evident.