Can I take the course for free?

No, you cannot take this course for free. 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. If you cannot afford the fee, you can apply for financial aid.

Will I earn university credit for completing the Specialization?

This Specialization doesn't carry university credit, but some universities may choose to accept Specialization Certificates for credit. Check with your institution to learn more.

Python - Complete Python, Django, Data Science and ML Guide 专项课程

Python - Complete Python, Django, Data Science and ML Guide 专项课程

Master Python, Django, Data Science & ML Skills. Learn Python basics, develop web apps with Django, analyze data with Pandas, and build ML models.

位教师：Packt - Course Instructors

包含在 Coursera Plus 中

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5 门课程系列

深入学习学科知识

中级等级

推荐体验

3 月完成

在 10 小时一周

灵活的计划

自行安排学习进度

5 门课程系列

深入学习学科知识

中级等级

推荐体验

3 月完成

在 10 小时一周

灵活的计划

自行安排学习进度

您将学到什么

Gain mastery over Python fundamentals, including data structures, functions, and object-oriented programming.
Build dynamic web applications using Django, from project creation to API integration and authentication.
Dive into data analysis with Pandas and NumPy and visualize data using Matplotlib.
Implement machine learning models using Scikit-learn and understand the principles behind model training and evaluation.

您将获得的技能

要了解的详细信息

可分享的证书

添加到您的领英档案

授课语言：英语（English）

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培养对关键概念的深入理解
通过 Packt 获得职业证书

专业化 - 5门课程系列

This course features Coursera Coach!

A smarter way to learn with interactive, real-time conversations that help you test your knowledge and deepen your understanding as you progress through the course.

Learn Python programming, starting with the basics like variables, data types, operators, and control flow. Then move into more advanced topics such as object-oriented programming (OOP), error handling, and important Python features like magic methods, decorators, and lambda functions.

The course progresses into Django web development, where you’ll learn how to create projects, manage databases, and develop APIs. You'll also explore routing, authentication, and security practices for building dynamic, full-stack web applications. The game development module using Pygame lets you create interactive, fun projects.

For data science, you'll use Jupyter Notebooks, Pandas, and Matplotlib to analyze data, visualize patterns, and perform deep dives into real datasets. Machine learning with Scikit-learn teaches you how to build, train, and implement machine learning models with real-world data.

By the end of the course, you’ll be prepared to build Python applications, create robust Django web projects, analyze data, and implement machine learning solutions.

This course is perfect for learners with basic programming knowledge, aspiring developers, data scientists, and machine learning enthusiasts eager to advance their skills or transition into a tech career.

应用的学习项目

Throughout the course, you will build multiple projects, including interactive Python applications, a Django-powered web app with authentication, a data science project using Pandas for data manipulation and Matplotlib for visualization, and a machine learning model using Scikit-learn. You will also work on a game development project with Pygame, applying object-oriented programming principles. These hands-on exercises will solidify your understanding and prepare you for real-world development, giving you practical experience in building both web and data-driven applications.

Python Basics and Core Concepts

第 1 门课程20小时

您将学到什么

Set up and run Python in various environments, including PyCharm and online editors.
Work with Python’s core data types, including strings, lists, tuples, and dictionaries.
Write and use functions, including built-in Python functions and custom functions.
Apply Python’s PEP 8 guidelines for code formatting and structure.

您将获得的技能

类别：Development Environment

类别：Integrated Development Environments

类别：Style Guides

类别：Programming Principles

类别：Scripting Languages

类别：Software Development Tools

Advanced Python Features and Functions

第 2 门课程24小时

您将学到什么

Master advanced Python functions like lambdas, decorators, and error handling.
Learn how to manage function arguments, including mutable and immutable objects.
Understand the practical applications of sequence unpacking and comprehensions.
Gain confidence in using Python's more advanced techniques to write cleaner, more efficient code.

您将获得的技能

类别：Software Design

类别：Programming Principles

Object-Oriented Programming (OOP) and Advanced Python Topics

第 3 门课程24小时

您将学到什么

Learn how to use Python's advanced OOP features such as inheritance, encapsulation, and polymorphism.
Master the implementation of decorators for function enhancements, including logging, validation, and authentication.
Understand and apply Python generators for efficient memory usage and iteration over large datasets.
Gain proficiency in handling files, including CSV, JSON, zip archives, and managing SQLite databases in Python.

您将获得的技能

类别：Databases

Django Web Development

第 4 门课程13小时

您将学到什么

Set up and configure a Django project from scratch.
Understand and apply the MVC pattern within the Django framework
Create and manage databases and models with Django migrations.
Build dynamic web pages using Django templates and Bootstrap.

您将获得的技能

类别：Application Programming Interface (API)

类别：Authorization (Computing)

类别：Relational Databases

类别：Databases

Game Development, Data Science, and Machine Learning

第 5 门课程21小时

您将学到什么

Build interactive games with Pygame, integrating game logic and controls.
Manipulate data using Pandas and NumPy for powerful data analysis.
Create and evaluate machine learning models with Scikit-learn.
Visualize complex datasets with Matplotlib to uncover trends and patterns.

您将获得的技能

类别：Predictive Modeling

类别：Animation and Game Design

类别：Data Visualization

类别：Statistical Modeling

类别：Feature Engineering

类别：Data Cleansing

类别：Data Science

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Packt - Course Instructors

Packt

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常见问题

This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.

Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.

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.