Start your Python journey with this course, where you’ll gain a solid foundation in this powerful language. Learn how to work with variables and data types to store and process information, master operations to perform calculations and make comparisons, and unlock the power of strings for text manipulation. Through hands-on case studies, like creating a checkout system, splitting tips, and calculating compound interest, you’ll apply your skills to solve real-life problems. This beginner-friendly course is perfect for anyone looking to build practical coding skills and confidence in Python.
This module introduces the basics of Python, highlighting why it is a popular programming language and how to start learning it. It covers the differences between script and interactive Python, explains why iPython is preferred, and introduces Jupyter Notebooks as a powerful tool for coding. Additionally, it explores the distinctions between local and cloud-based coding environments, including the specific setup used in Coursera labs.
涵盖的内容
12篇阅读材料1个作业
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12篇阅读材料•总计111分钟
Course Updates and Accessibility Support•1分钟
BiteSize Pedagogy•10分钟
Assessment Strategy•10分钟
Course Overview•10分钟
What is Python?•10分钟
Why Python?•10分钟
How to Learn Python?•10分钟
Script Python VS Interactive Python•10分钟
Why Interactive Python is Suitable for Data Science•10分钟
Jupyter Notebook•10分钟
Local or Cloud•10分钟
Coursera Labs•10分钟
1个作业•总计10分钟
Test Your Understanding•10分钟
Input and Output
第 2 单元•小时 后完成
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This module explores the basics of input and output in Python. Starting with the classic "Hello, World!" example using the print() function, it explains the differences between single, double, and triple quotation marks in Python. The module also covers how to print multiple values simultaneously and introduces the input() function to receive user inputs. Learners will see how to combine input() and print() to create simple interactive programs.
涵盖的内容
1篇阅读材料1个作业6个非评分实验室
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1篇阅读材料•总计10分钟
Interact with GenAI•10分钟
1个作业•总计30分钟
Test Your Understanding•30分钟
6个非评分实验室•总计120分钟
Hello, World! •20分钟
Single or Double•20分钟
Triple•20分钟
Multiple•20分钟
Get Inputs•20分钟
Combine I/O•20分钟
Variables and Data Types
第 3 单元•小时 后完成
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This module introduces variables in Python, including how to define them and the rules for naming them correctly according to syntax and conventions. It covers the fundamental data types—integers (int), floating-point numbers (float), and strings (str)—and explains how to convert between these types using Python’s built-in conversion functions.
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5篇阅读材料2个作业2个非评分实验室
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5篇阅读材料•总计50分钟
What are variables•10分钟
References in your life•10分钟
Naming Rules•10分钟
Data Types•10分钟
Interact with GenAI•10分钟
2个作业•总计40分钟
Test Your Understanding•30分钟
Naming Rules•10分钟
2个非评分实验室•总计40分钟
Data Types•20分钟
Converters•20分钟
Operations
第 4 单元•小时 后完成
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This module focuses on the different types of operations in Python, including assignment, arithmetic, relational, and logical operations. It explains how to use these operations to manipulate data and make comparisons within Python programs, providing a foundational understanding of how data is processed and evaluated.
涵盖的内容
1篇阅读材料1个作业4个非评分实验室
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1篇阅读材料•总计10分钟
Interact with GenAI•10分钟
1个作业•总计30分钟
Test Your Understanding•30分钟
4个非评分实验室•总计80分钟
Assignment Operations•20分钟
Arithmetic Operations•20分钟
Relational Operations•20分钟
Logical Operations•20分钟
Strings
第 5 单元•小时 后完成
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This module delves into the str data type in Python, covering everything from the basics of what a string is to how to create, access, and manipulate strings. It includes techniques for slicing, concatenating, and formatting strings, as well as an overview of common string methods that simplify text processing tasks.
涵盖的内容
2篇阅读材料1个作业6个非评分实验室
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2篇阅读材料•总计20分钟
What is a String?•10分钟
Interact with GenAI•10分钟
1个作业•总计30分钟
Test Your Understanding•30分钟
6个非评分实验室•总计100分钟
String Creation•10分钟
String Access•20分钟
String Slicing•20分钟
String Concatenation•10分钟
String Formating•20分钟
String Methods•20分钟
Essential Python Case Studies
第 6 单元•小时 后完成
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This module applies essential Python concepts through practical case studies, demonstrating how to solve real-life problems using the skills learned in previous modules. The case studies include a checkout system for calculating total costs, a tip-splitting application to fairly divide tips among diners, and a compound interest calculator for financial planning.
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When will I have access to the lectures and assignments?
To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I subscribe to this Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.