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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
6,507 個評分
807 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:

351 - 使用 Python 进行数据分析 的 375 個評論(共 803 個)

創建者 snehlata c

Aug 19, 2019

Great course

創建者 Phạm T S

Aug 20, 2019

The course is very good

創建者 hassan u s

Aug 19, 2019

Thank god - Nice course and good perception of understanding.

創建者 Mounir O

Aug 19, 2019

Thank you coursera for this cours

創建者 Abdulahi O F

Aug 21, 2019

I am highly impressed with the teaching methodologies and how the course is structured. By now, I can import, determine data types, conduct data wrangling which involves replacement ir dropping and regressions. Thanks to Cousera for the opportunity.

創建者 Vikash K

Aug 22, 2019

It is a good course. Why it is not possible to teach everything in Python in small modules but it gives a great start.

創建者 Josemar T M d S

Aug 23, 2019

Completo

創建者 Alfonso P

Aug 22, 2019

Excellent Course, develops data Scientist skills associated with the methodology associated with the Data Science Certification

創建者 ENRIQUE A C A

Aug 24, 2019

Excellent course!!!

創建者 Wadii G

Aug 26, 2019

Excellent courses. Thank you Coursera and IBM

創建者 YIYUN M

Aug 25, 2019

excellent

創建者 Taha m

Aug 26, 2019

Excellent course for anyone who wants to learn Data analysis in Python.

創建者 paul m

Aug 27, 2019

Informative elearning. Good overview of using Python for data analysis / visualisation / machine learning basics

創建者 DEBOLINA M

Jul 03, 2019

A very informative course!

創建者 Kieran M

Jul 02, 2019

Was actually hard but great content!

創建者 Raviteja G

Jul 02, 2019

Great course.

創建者 SAURABH P

Jul 02, 2019

I feel strong

創建者 Madan K

Jul 06, 2019

Excellent

創建者 Tanveer J

Jul 07, 2019

Excellent combination of core statistical concepts being translated into digestible python codes.!! Yes I can comfortably use linear regression now!

創建者 Jafed E

Jul 06, 2019

I enjoy the lectures. The professor has a good speaking and teaching style which keeps me interested. Lots of concrete math examples which make it easier to understand. Very good slides which are well formulated and easy to understand

創建者 Ying S

Jul 08, 2019

So helpful for beginners, thank you!

創建者 P M N

Jul 08, 2019

Nice Classes

創建者 emadoddinkarimi

Jul 10, 2019

that was great

創建者 Antonio J T D

Jul 10, 2019

Fantastic review on basic python libraries and methods for Data Science.

創建者 Deleted A

Jul 11, 2019

My first Machine learning course. It was awesome.