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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
8,579 個評分
1,123 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

RP

Apr 20, 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.

AB

Feb 13, 2020

Great introduction to data manipulation and analysis for common problems that arise in data science. Also allows you to gain a further understanding of Python syntax, specifically the pandas library.

篩選依據:

1001 - 使用 Python 进行数据分析 的 1025 個評論(共 1,115 個)

創建者 Vrinda M K

Nov 26, 2019

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

創建者 Marc T

Feb 03, 2020

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

Aug 26, 2019

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

創建者 Sarah s

Jan 02, 2019

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

Jun 19, 2019

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

創建者 Kenneth S

Jan 13, 2020

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

創建者 Bjoern K

Jun 14, 2019

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

創建者 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.

創建者 Nathan P

Jan 02, 2020

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

Dec 19, 2018

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

創建者 Connor F

Mar 28, 2020

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

創建者 BT

May 28, 2019

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

創建者 Jesse Z

Jun 05, 2019

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

創建者 Debra C

Mar 24, 2019

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

創建者 Chau N N H

Jan 29, 2020

The lesson need more explanations on Polynomial Regression, Pipeline, Ridge Regression.

創建者 Xinyi W

Jan 26, 2020

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

創建者 Ana C

Jun 11, 2019

To short

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

創建者 Sathiya P

Aug 27, 2019

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

創建者 Rosana R M

Aug 13, 2019

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

創建者 Maciej L

May 16, 2019

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

創建者 Tomasz S

Nov 19, 2018

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

創建者 Pierre-Antoine M

Feb 19, 2020

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

創建者 Toan N

Mar 27, 2020

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

創建者 Jessica B

Jun 14, 2019

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

創建者 Arjun S C

Aug 14, 2019

Lots of bugs and errors. No instructors reply on the discussion forum.