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Advanced Python Courses

Advanced Python courses can help you learn object-oriented programming, data manipulation, web scraping, and automation techniques. You can build skills in working with libraries like Pandas and NumPy for data analysis, as well as using Flask or Django for web development. Many courses also cover testing frameworks like PyTest and tools for version control such as Git, enabling you to manage projects efficiently and collaborate with others in coding environments.


Popular Advanced Python Courses and Certifications


  • Status: Free Trial
    Free Trial
    G

    Google

    Google IT Automation with Python

    Skills you'll gain: Git (Version Control System), GitHub, Version Control, Infrastructure as Code (IaC), Debugging, Cloud Management, Bash (Scripting Language), Test Automation, Puppet (Configuration Management Tool), Infrastructure As A Service (IaaS), Technical Communication, Web Services, Email Automation, Web Presence, Automation, Python Programming, Interviewing Skills, Configuration Management, Program Development, Programming Principles

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
    ·
    54K reviews

    Advanced · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    C

    Corporate Finance Institute

    Python Fundamentals

    Skills you'll gain: Data Visualization, Matplotlib, Data Presentation, Plot (Graphics), Financial Data, Exploratory Data Analysis, Data Storytelling, Statistical Methods, Pandas (Python Package), Financial Analysis, Data Visualization Software, Statistical Analysis, Data Manipulation, NumPy, Seaborn, Data Analysis, Case Studies, Data Wrangling, Data Science, Data Transformation

    4.9
    Rating, 4.9 out of 5 stars
    ·
    13 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    Google Advanced Data Analytics

    Skills you'll gain: Data Storytelling, Data Visualization, A/B Testing, Sampling (Statistics), Data Analysis, Exploratory Data Analysis, Regression Analysis, Data Visualization Software, Data Presentation, Data Ethics, Feature Engineering, Statistical Hypothesis Testing, Analytics, Statistical Analysis, Data Science, Tableau Software, Machine Learning, Object Oriented Programming (OOP), Web Presence, Python Programming

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
    ·
    11K reviews

    Advanced · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM RAG and Agentic AI

    Skills you'll gain: Prompt Engineering, AI Orchestration, AI Workflows, LangChain, Retrieval-Augmented Generation, Agentic Workflows, Tool Calling, LangGraph, LLM Application, Prompt Patterns, Agentic systems, Multimodal Prompts, Model Context Protocol, Generative AI, AI Security, Generative AI Agents, Vector Databases, OpenAI API, AI Integrations, Software Development

    4.6
    Rating, 4.6 out of 5 stars
    ·
    931 reviews

    Advanced · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Foundations of Data Structures and Algorithms

    Skills you'll gain: Theoretical Computer Science, Algorithms, Graph Theory, Data Structures, Operations Research, Quantum computing, Public Key Cryptography Standards (PKCS), Cryptography, Computational Thinking, Design Strategies, Cryptographic Protocols, Tree Maps, Encryption, Network Model, Combinatorics, Data Science, Computer Science, Mathematical Modeling, Mathematical Software, Python Programming

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
    ·
    960 reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    MLOps | Machine Learning Operations

    Skills you'll gain: Fine-tuning, MLOps (Machine Learning Operations), Model Deployment, Cloud Deployment, Pandas (Python Package), AWS SageMaker, NumPy, Microsoft Azure, Hugging Face, GitHub Copilot, Unit Testing, Responsible AI, DevOps, Cloud Computing, Python Programming, Machine Learning, GitHub, Big Data, Data Management, Data Analysis

    4.2
    Rating, 4.2 out of 5 stars
    ·
    609 reviews

    Advanced · Specialization · 3 - 6 Months

What brings you to Coursera today?

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    More Applied Data Science with Python

    Skills you'll gain: Unsupervised Learning, Data Mining, Social Network Analysis, ChatGPT, Embeddings, LLM Application, Applied Machine Learning, Data Quality, Unstructured Data, Anomaly Detection, Machine Learning Methods, Data Science, Supervised Learning, Machine Learning, Data Preprocessing, Data Analysis, Social Media Analytics, Data Manipulation, Python Programming, Exploratory Data Analysis

    4.5
    Rating, 4.5 out of 5 stars
    ·
    19 reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Data Mining in Python

    Skills you'll gain: Data Mining, Unsupervised Learning, Data Science, Anomaly Detection, Data Manipulation, Machine Learning Methods, Statistical Methods, Linear Algebra, Python Programming, Classification Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    11 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google

    The Power of Statistics

    Skills you'll gain: A/B Testing, Sampling (Statistics), Data Analysis, Analytics, Statistics, Descriptive Statistics, Statistical Analysis, Statistical Hypothesis Testing, Probability & Statistics, Advanced Analytics, Probability Distribution, Data Science, Statistical Inference, Statistical Programming, Statistical Methods, Probability, Python Programming

    4.8
    Rating, 4.8 out of 5 stars
    ·
    894 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Advanced Python and Professional Development

    Skills you'll gain: Object Oriented Programming (OOP), Object Oriented Design, Microsoft Visual Studio, Development Environment, Maintainability, Integrated Development Environments, Microsoft Development Tools, Scalability, Software Development Tools, Python Programming, Debugging

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Codio

    Advanced Django: Mastering Django and Django Rest Framework

    Skills you'll gain: Django (Web Framework), Performance Tuning, Postman API Platform, Restful API, Application Programming Interface (API), Data Validation, Authentications, Frontend Integration, React.js, API Testing, Authorization (Computing), Secure Coding, Object-Relational Mapping, API Design, Scalability, JavaScript Frameworks, JSON, Test Tools, Web Development, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    163 reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    High-Performance and Parallel Computing

    Skills you'll gain: Hardware Architecture, Microarchitecture, Bash (Scripting Language), Distributed Computing, Scalability, Memory Management, Shell Script, Computer Systems, File I/O, Big Data, Linux Commands, Operating Systems, File Systems, Cloud Development, C and C++, Linux, Computing Platforms, Data Import/Export, C++ (Programming Language), Communication Systems

    3.8
    Rating, 3.8 out of 5 stars
    ·
    182 reviews

    Advanced · Specialization · 3 - 6 Months

1234…9

In summary, here are 10 of our most popular python courses

  • Google IT Automation with Python: Google
  • Python Fundamentals: Corporate Finance Institute
  • Google Advanced Data Analytics: Google
  • IBM RAG and Agentic AI: IBM
  • Foundations of Data Structures and Algorithms: University of Colorado Boulder
  • MLOps | Machine Learning Operations: Duke University
  • More Applied Data Science with Python: University of Michigan
  • Data Mining in Python: University of Michigan
  • The Power of Statistics: Google
  • Advanced Python and Professional Development: Packt

Skills you can learn in Data Analysis

Analytics (85)
Big Data (64)
Python Programming (47)
Business Analytics (40)
R Programming (37)
Statistical Analysis (36)
Sql (33)
Data Model (29)
Data Mining (27)
Exploratory Data Analysis (26)
Data Modeling (21)
Data Manipulation (20)

Frequently Asked Questions about Advanced Python

Advanced Python refers to the deeper concepts and techniques in Python programming that go beyond the basics. It encompasses topics such as object-oriented programming, decorators, generators, context managers, and more. Understanding advanced Python is crucial for developers who want to build complex applications, optimize performance, and implement sophisticated algorithms. As industries increasingly rely on data analysis, machine learning, and automation, proficiency in advanced Python can significantly enhance your ability to tackle challenging projects and contribute to innovative solutions.‎

With advanced Python skills, you can pursue various roles in the tech industry. Positions such as Python Developer, Data Scientist, Machine Learning Engineer, and Software Engineer often require a solid understanding of advanced Python concepts. Additionally, roles in cybersecurity, web development, and data analysis increasingly seek professionals who can leverage advanced Python techniques to solve complex problems and enhance system performance.‎

To learn advanced Python, you should have a strong foundation in basic Python programming. Key skills to focus on include object-oriented programming (OOP), data structures, algorithms, and libraries such as NumPy and Pandas. Familiarity with web frameworks like Django or Flask can also be beneficial. Understanding concepts like asynchronous programming and testing frameworks will further enhance your capabilities, allowing you to write efficient and maintainable code.‎

Some of the best advanced Python courses online include the Advanced Python Scripting for Cybersecurity Specialization and Advanced Portfolio Construction and Analysis with Python. These courses cover a range of advanced topics and provide practical applications, helping you to deepen your understanding and apply your skills in real-world scenarios.‎

Yes. You can start learning advanced Python on Coursera for free in two ways:

  1. Preview the first module of many advanced Python courses at no cost. This includes video lessons, readings, graded assignments, and Coursera Coach (where available).
  2. Start a 7-day free trial for Specializations or Coursera Plus. This gives you full access to all course content across eligible programs within the timeframe of your trial.

If you want to keep learning, earn a certificate in advanced Python, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.‎

To learn advanced Python effectively, start by reinforcing your foundational knowledge. Engage with online courses, practice coding challenges, and work on projects that interest you. Collaborate with peers or join online communities to share knowledge and seek feedback. Consistent practice and application of advanced concepts in real-world scenarios will help solidify your understanding and boost your confidence.‎

Advanced Python courses typically cover a variety of topics, including but not limited to object-oriented programming, decorators, generators, context managers, and advanced data structures. You may also explore libraries for data analysis, machine learning, and web development. Security practices and optimization techniques are often included, providing a comprehensive understanding of how to leverage Python for complex applications.‎

For training and upskilling employees, courses like Advanced Python Development Techniques and Beyond basics: Advanced Data Analysis with Python are excellent choices. These courses are designed to enhance the skills of professionals, equipping them with the knowledge needed to tackle advanced projects and improve productivity in their roles.‎

This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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