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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

    Get Started with Python

    Skills you'll gain: Object Oriented Programming (OOP), Data Structures, Python Programming, NumPy, Pandas (Python Package), Data Analysis, Scripting, Data Manipulation, Data Visualization, Algorithms, Debugging

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.8K reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    Google IT Automation with Python

    Skills you'll gain: GitHub, Git (Version Control System), Infrastructure as Code (IaC), Version Control, Cloud Management, Debugging, Puppet (Configuration Management Tool), Unit Testing, Infrastructure As A Service (IaaS), Bash (Scripting Language), Network Troubleshooting, Web Services, Object Oriented Programming (OOP), Application Programming Interface (API), Interviewing Skills, Applicant Tracking Systems, Data Structures, Python Programming, Configuration Management, Automation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    53K reviews

    Advanced · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    Google Advanced Data Analytics

    Skills you'll gain: Data Storytelling, Data Visualization, Exploratory Data Analysis, Regression Analysis, Feature Engineering, Statistical Hypothesis Testing, Sampling (Statistics), Data Ethics, Logistic Regression, Model Evaluation, Data Visualization Software, Descriptive Statistics, Data Analysis, Statistical Analysis, Tableau Software, Object Oriented Programming (OOP), Data Science, Machine Learning, Interviewing Skills, Python Programming

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
    ·
    9.8K reviews

    Advanced · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    C

    Corporate Finance Institute

    Python Fundamentals

    Skills you'll gain: Matplotlib, Financial Data, Exploratory Data Analysis, Pandas (Python Package), Financial Analysis, Data Visualization Software, Statistical Analysis, Data Manipulation, NumPy, Seaborn, Data Analysis, Data Science, Data Transformation, Python Programming, Data Cleansing, Computer Programming

    4.9
    Rating, 4.9 out of 5 stars
    ·
    13 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    MLOps | Machine Learning Operations

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

    4.2
    Rating, 4.2 out of 5 stars
    ·
    576 reviews

    Advanced · Specialization · 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, Model Context Protocol, LangChain, Retrieval-Augmented Generation, Agentic Workflows, Tool Calling, LangGraph, LLM Application, Agentic systems, Multimodal Prompts, Generative AI, Generative AI Agents, Vector Databases, Generative Model Architectures, OpenAI API, Embeddings, Responsible AI, Software Development

    4.6
    Rating, 4.6 out of 5 stars
    ·
    683 reviews

    Advanced · Professional Certificate · 3 - 6 Months

What brings you to Coursera today?

  • 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, Public Key Cryptography Standards (PKCS), Cryptography, Programming Principles, Computational Thinking, Design Strategies, Pseudocode, Computer Science, Program Development, Tree Maps, Encryption, Linear Algebra, Combinatorics, Mathematical Theory & Analysis, Data Science, Python Programming

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    912 reviews

    Advanced · Specialization · 3 - 6 Months

  • Next level skills. New Year savings.

    Save on Coursera Plus
  • 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, Bayesian Network, Machine Learning Methods, Data Science, Supervised Learning, Generative AI, Machine Learning, Anomaly Detection, Data Preprocessing, Data Analysis, Recurrent Neural Networks (RNNs), Data Manipulation, Python Programming, Exploratory Data Analysis, Machine Learning Algorithms, Classification Algorithms

    4.3
    Rating, 4.3 out of 5 stars
    ·
    8 reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Packt

    Advanced Python and Professional Development

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

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Toronto

    Self-Driving Cars

    Skills you'll gain: Computer Vision, Convolutional Neural Networks, Image Analysis, Control Systems, Robotics, Embedded Software, Automation, Deep Learning, Software Architecture, Simulations, Safety Assurance, Traffic Flow Optimization, Artificial Neural Networks, Global Positioning Systems, Machine Controls, Hardware Architecture, Systems Architecture, Network Routing, Estimation, Machine Learning Methods

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.5K reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    The Power of Statistics

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

    4.8
    Rating, 4.8 out of 5 stars
    ·
    869 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Dynamic Programming, Greedy Algorithms

    Skills you'll gain: Theoretical Computer Science, Algorithms, Computational Thinking, Data Structures, Design Strategies, Computer Science, Program Development, Mathematical Theory & Analysis, Advanced Mathematics, Python Programming, Analysis

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    236 reviews

    Advanced · Course · 1 - 4 Weeks

What brings you to Coursera today?

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

  • Get Started with Python: Google
  • Google IT Automation with Python: Google
  • Google Advanced Data Analytics: Google
  • Python Fundamentals: Corporate Finance Institute
  • MLOps | Machine Learning Operations: Duke University
  • IBM RAG and Agentic AI: IBM
  • Foundations of Data Structures and Algorithms: University of Colorado Boulder
  • More Applied Data Science with Python: University of Michigan
  • Advanced Python and Professional Development: Packt
  • Self-Driving Cars: University of Toronto

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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