Kickstart your learning of Python for data science, as well as programming in general, with this beginner-friendly introduction to Python. Python is one of the world’s most popular programming languages, and there has never been greater demand for professionals with the ability to apply Python fundamentals to drive business solutions across industries.
提供方
IBM課程信息
1,201,778 次近期查看
學生職業成果
10%
完成這些課程後已開始新的職業生涯
13%
通過此課程獲得實實在在的工作福利
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可分享的證書
完成後獲得證書
100% 在線
立即開始，按照自己的計劃學習。
初級
完成時間大約為21 小時
英語（English）
字幕：英語（English）, 韓語, 阿拉伯語（Arabic）
您將學到的內容有
Explain Python Basics including Types, Expressions, and Variables.
Describe Data Structures in Python including Lists, Tuples, Dictionaries, Sets.
Apply Python programming using Branching, Loops, Functions, Objects & Classes.
Work with data in Python using Pandas and Numpy libraries.
您將獲得的技能
- Data Science
- Python Programming
- Data Analysis
- Pandas
- Numpy
學生職業成果
10%
完成這些課程後已開始新的職業生涯
13%
通過此課程獲得實實在在的工作福利
可靈活調整截止日期
根據您的日程表重置截止日期。
可分享的證書
完成後獲得證書
100% 在線
立即開始，按照自己的計劃學習。
初級
完成時間大約為21 小時
英語（English）
字幕：英語（English）, 韓語, 阿拉伯語（Arabic）
提供方
IBM
IBM is the global leader in business transformation through an open hybrid cloud platform and AI, serving clients in more than 170 countries around the world. Today 47 of the Fortune 50 Companies rely on the IBM Cloud to run their business, and IBM Watson enterprise AI is hard at work in more than 30,000 engagements. IBM is also one of the world’s most vital corporate research organizations, with 28 consecutive years of patent leadership. Above all, guided by principles for trust and transparency and support for a more inclusive society, IBM is committed to being a responsible technology innovator and a force for good in the world.
授課大綱 - 您將從這門課程中學到什麼
完成時間為 2 小時
Python Basics
This module teaches the basics of Python and begins by exploring some of the different data types such as integers, real numbers, and strings. Continue with the module and learn how to use expressions in mathematical operations, store values in variables, and the many different ways to manipulate strings.
完成時間為 2 小時
3 個視頻 （總計 11 分鐘）, 1 個閱讀材料, 6 個測驗
完成時間為 3 小時
Python Data Structures
This module begins a journey into Python data structures by explaining the use of lists and tuples and how they are able to store collections of data in a single variable. Next learn about dictionaries and how they function by storing data in pairs of keys and values, and end with Python sets to learn how this type of collection can appear in any order and will only contain unique elements.
完成時間為 3 小時
3 個視頻 （總計 17 分鐘）
完成時間為 5 小時
Python Programming Fundamentals
This module discusses Python fundamentals and begins with the concepts of conditions and branching. Continue through the module and learn how to implement loops to iterate over sequences, create functions to perform a specific task, perform exception handling to catch errors, and how classes are needed to create objects.
完成時間為 5 小時
5 個視頻 （總計 45 分鐘）
完成時間為 6 小時
Working with Data in Python
This module explains the basics of working with data in Python and begins the path with learning how to read and write files. Continue the module and uncover the best Python libraries that will aid in data manipulation and mathematical operations.
完成時間為 6 小時
6 個視頻 （總計 30 分鐘）
審閱
- 5 stars71.79%
- 4 stars20.92%
- 3 stars4.52%
- 2 stars1.48%
- 1 star1.26%
來自PYTHON FOR DATA SCIENCE, AI & DEVELOPMENT的熱門評論
由 RA 提供2020年3月26日
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 AA 提供2021年6月23日
Briefly it covers a lot of topics. Learnt many new things in such a short span of time. Its just that the Hands on tool was a little slow. Rest everything was pretty simple and its good for beginners.
由 KH 提供2020年1月26日
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 CB 提供2020年5月22日
This course is basically designed for beginner who wants to start with python. So it covers most the stuffs a beginner wants to know. But nothing related to datascience and AI I found in this course.
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