This introduction to Python will kickstart your learning of Python for data science, as well as programming in general. This beginner-friendly Python course will take you from zero to programming in Python in a matter of hours.
Python for Data Science and AI
提供方
IBM
课程信息
1,367,701 次近期查看
学生职业成果
41%
完成这些课程后已开始新的职业生涯
39%
通过此课程获得实实在在的工作福利
您将获得的技能
Data SciencePython ProgrammingNumpyPandas
学生职业成果
41%
完成这些课程后已开始新的职业生涯
39%
通过此课程获得实实在在的工作福利
100% 在线
立即开始，按照自己的计划学习。
可灵活调整截止日期
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初级
完成时间大约为13 小时
建议：13 hours/week
英语（English）
字幕：英语（English）, 韩语, 德语（German）
教学大纲 - 您将从这门课程中学到什么
完成时间为 3 小时
Python Basics
完成时间为 3 小时
3 个视频 （总计 11 分钟）, 1 个阅读材料, 5 个测验
1 个阅读材料
About this Course10分钟
3 个练习
Types8分钟
Expressions and Variables8分钟
String Operations14分钟
完成时间为 5 小时
Python Data Structures
完成时间为 5 小时
3 个视频 （总计 17 分钟）
3 个练习
List and Tuples18分钟
Dictionaries6分钟
Sets6分钟
完成时间为 5 小时
Python Programming Fundamentals
完成时间为 5 小时
4 个视频 （总计 41 分钟）
4 个练习
Conditions and Branching6分钟
Loops8分钟
Functions10分钟
Objects and Classes6分钟
完成时间为 7 小时
Working with Data in Python
完成时间为 7 小时
8 个视频 （总计 41 分钟）, 1 个阅读材料, 11 个测验
8 个视频
Writing Files with Open2分钟
Loading Data with Pandas3分钟
Pandas: Working with and Saving Data2分钟
One Dimensional Numpy11分钟
Two Dimensional Numpy7分钟
Simple APIs (Part 1)5分钟
Simple APIs (Part 2)5分钟
1 个阅读材料
Using loc, iloc and ix10分钟
5 个练习
Reading Files with Open6分钟
Writing files with open6分钟
Pandas6分钟
One Dimensional Numpy6分钟
Two Dimensional Numpy6分钟
审阅
4.6
来自PYTHON FOR DATA SCIENCE AND AI的热门评论
由 RT 提供Aug 19, 2019
-Good Course for basics of python and intro to Pandas and Numpy\n\n-More exercises related to Pandas and Numpy would be good for practice.\n\n-The course isn't updated with the latest UI of IBM Watson
由 HM 提供Nov 17, 2019
it becomes easier wand clearer when one gets to complete the assignments as to how to utilize what has been learned. Practical work is a great way to learn, which was a fundamental part of the course.
由 KH 提供Jan 26, 2020
A solid introduction to Python in general. It can help you start getting acquainted with how programming languages work in general and gives a good overview of how Python can be used for data science.
由 WL 提供Mar 13, 2019
Every course has offered something interesting, challenging, and surprising. I am glad I have spent the time with this class. I would strongly recommend it to others with an interest in data science.
由 PK 提供Sep 23, 2019
it was an awesome course to start your journey in data science. Fundamentals concepts are covered in a lucid way. Nicely designed lab work. Some more hands on will help to get a better coding skills.
由 RA 提供Mar 26, 2020
Python is just what is in trend and not because of its usability, but it is just anybody can use with wide use case in each and every domain. A good start for someone looking for a start with Python
由 JE 提供May 30, 2019
The cloud storage question on the final is just a ploy to get us to use IBM products and shouldn't be part of the grade. The course was a good pace and nice, slow introduction for new Python users.
由 CD 提供Dec 11, 2019
All the basics for Data Science with Python. You wont be a master programmer after this class but you will understand the basics and computer logic in regards to data handling and cloud management.
由 DK 提供Feb 19, 2020
Its good course, this course will tell you how to use data structure, pandas , numpy etc using examples.\n\nGood theory material for each topic like function, List, Set etc.\n\nThanks all the best
由 AS 提供Apr 23, 2019
Very brief course of Python. It touches the basics of the language.\n\nAs with the previous courses, the final assignment generates frustration because of things not related to the examination.
由 SS 提供Dec 6, 2018
With MATLAB being my programming fluency, Python was very confusing at times.\n\nThis was the course I needed to explain the most common data types in python in a clear and very concise manner.
由 KU 提供Feb 17, 2020
Very good step by step course for learning python.\n\nSome of the more abstract concepts like Classes and instances could be better explained. It would be very helpful for more novice students
关于 IBM
IBM offers a wide range of technology and consulting services; a broad portfolio of middleware for collaboration, predictive analytics, software development and systems management; and the world's most advanced servers and supercomputers. Utilizing its business consulting, technology and R&D expertise, IBM helps clients become "smarter" as the planet becomes more digitally interconnected. IBM invests more than $6 billion a year in R&D, just completing its 21st year of patent leadership. IBM Research has received recognition beyond any commercial technology research organization and is home to 5 Nobel Laureates, 9 US National Medals of Technology, 5 US National Medals of Science, 6 Turing Awards, and 10 Inductees in US Inventors Hall of Fame.
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