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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

4.6
6,188 個評分
769 個審閱

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.

OA

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

篩選依據:

126 - 使用 Python 进行数据分析 的 150 個評論(共 768 個)

創建者 KUMAR B P

Mar 12, 2019

The course is unique in it's own way, simple in understanding and applying

創建者 Julio E L C

Mar 02, 2019

A well and vast explanation and review on Statistical Data Analysis with Python. An awesome course!!! I just loved it.

創建者 Callistus N

Mar 13, 2019

The best gentle intro on creating and evaluating models.

創建者 Suhas S

Mar 15, 2019

It is really a Good course. All the topics have been covered in the proper way.

創建者 Saurabh M

Mar 15, 2019

It is a great gateway

course into the world of data science. It is mainly focussed on theoritical concepts of data science which have wide range of applications .

創建者 Matheus L T A

Mar 15, 2019

Great! Filled with lots of concepts and practical exercises!

創建者 Vimel M

Mar 15, 2019

very clear and helpful!

創建者 Sayak B

Mar 20, 2019

Great content

創建者 Jorge O

Mar 19, 2019

Very good to the course

創建者 Sanjay D

Mar 26, 2019

I liked the gradual built up of the topics covered.

創建者 TALHA P

Mar 26, 2019

good

創建者 Aditya S

Mar 26, 2019

THIS COURSE IS AMAZING ,I WILL RECOMMEND TO THE BEGINNERS TO TO THROUGH THE LAB EXERCISE AND PRACTICE HARD.

創建者 Himanshu S

Mar 27, 2019

Best course for Data Analysis !!!

創建者 MOHANAKRISHNAN V

Mar 22, 2019

VERY GOOD I HAVE LEARNED NEW THINGS THANK YOU VERY MUCH

創建者 Deleted A

Mar 21, 2019

Good one

創建者 Khadija S

Mar 22, 2019

Highly recommended course. All i was about data analysis with using Python as a tool. In this course you can learn basic econometric, python, and of course how to analyse data.

創建者 Tejpraneeth

Mar 25, 2019

good

創建者 Brian V

Mar 25, 2019

At least, I have learnt something new at a very basic level.

創建者 LINDA A L

Mar 25, 2019

Well structured course.

創建者 Luciana M G

Mar 14, 2019

This course is an excellent continuation of the previous IBM ones. Actually there should be one whole course teaching the basics of statistics so that what is taught in this model makes more sense for those who have never studied statistics before.

創建者 Ahmed E A

Mar 26, 2019

very nice

創建者 Ivan I

Mar 26, 2019

Awesome.

創建者 Miriam Y R L

Mar 28, 2019

good

創建者 Alexander P S

Mar 28, 2019

printable slideshow presentations would be very useful!

創建者 KOUADIO K A F

Dec 19, 2018

I am very happy to have taken this course, I have learned a lot and gained experience thanks to IBM and Coursera