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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

6,574 個評分
814 個審閱


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....



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.


Jul 13, 2018

I have been looking for a very non-complicated course on data analysis and I hit the Jackport with this course! Very simplified and explanatory. You should definitely take the course


326 - 使用 Python 进行数据分析 的 350 個評論(共 808 個)

創建者 Daniel C S

Sep 17, 2019

Excellent course!!

創建者 Muhammad S K

Sep 17, 2019


創建者 Daniel H O

Sep 18, 2019

Good course, solid material.

創建者 Meet

Sep 01, 2019

Too good if you pay attention...

this course disappointed at some points where they just showed us direct syntax and not proper information about that syntax

創建者 Piero G N A

Aug 31, 2019

Great course

創建者 Syed F H R

Aug 31, 2019

All the content was brilliant and complete, The teacher was quite amazing and he actually complete almost every thing in this course perfectly.

創建者 Mohammad Z R

Sep 02, 2019

This course is providing valuable insight in Data analysis.

創建者 Gaurav S

Sep 03, 2019

Very good for beginners with basic Python knowledge.


Sep 01, 2019


創建者 Guy B

Sep 24, 2019

Great course. few things to make it perfect:

more mathematic explanations required.

more details and explanations about the code itself - the methods and the opportunities inside it.

make the videos more interesting and not so monotonic and boring.

創建者 Naveen S

Sep 23, 2019

very nice..

創建者 Carolinne O R M

Sep 25, 2019

Excellent course, it helped me a lot to get started with Python. Still today I always consult my personal notes on this course to perform data analysis in all types of projects I work on.

創建者 Zhengweifan

Sep 25, 2019

lab materials are helpful


Sep 28, 2019

The course is greatly designed. We need to incorporate a little description of forecasting models also.

創建者 Yaxin Z

Sep 27, 2019

Explanation is short and clear. I understand and think more than I first learnt these concepts.

創建者 Olanipekun A T

Sep 27, 2019

The course was thaught indepth

創建者 anita p s

Sep 27, 2019

Its nice course, challenging peer assignment , alot of thing can learn.

創建者 Prabhu M

Sep 04, 2019

good . Lot of things i have learnt

創建者 Marouane E O

Sep 05, 2019


創建者 Kang R K

Sep 29, 2019

The fastest way to learn Python's famous libraries such as pandas, numpy, scikit-learn, and etc, as tools of data science.

創建者 Farrukh N A

Oct 03, 2019

Good Course, Must for ML

創建者 Jose R

Oct 04, 2019

great course , i learn a lot , thks coursera

創建者 Mani T P

Dec 01, 2019

Best course

創建者 Tanmay S

Dec 01, 2019


創建者 Mikias H

Oct 28, 2019

This course has given me skills to clean data, visualize data and evaluate models using different Python libraries. Great course and recommend it to anyone interested in analytics.