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    Python Courses

    Python courses can help you learn how to write code for data analysis, automation, web development, and other real-world applications.

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    Find the Best Python Course for Your Goals

    • Status: Free Trial
      Free Trial
      É

      École Polytechnique Fédérale de Lausanne

      Parallel programming

      Skills you'll gain: Scala Programming, Data Structures, Distributed Computing, Algorithms, Functional Design, Other Programming Languages, Java, Performance Tuning

      4.4
      Rating, 4.4 out of 5 stars
      ·
      1.8K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Create Machine Learning Models in Microsoft Azure

      Skills you'll gain: Unsupervised Learning, Scikit Learn (Machine Learning Library), PyTorch (Machine Learning Library), Exploratory Data Analysis, Deep Learning, Microsoft Azure, Data Visualization, Applied Machine Learning, Regression Analysis, Predictive Modeling, Jupyter, Artificial Intelligence and Machine Learning (AI/ML), Classification And Regression Tree (CART), Data Science, MLOps (Machine Learning Operations), Machine Learning, Tensorflow, Artificial Neural Networks

      4.5
      Rating, 4.5 out of 5 stars
      ·
      295 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Minnesota

      Engineering Practices for Building Quality Software

      Skills you'll gain: Software Design Patterns, Software Design, Engineering Software, Software Quality Assurance, Software Engineering, Program Development, Application Security, Object Oriented Design, Software Architecture, Software Quality (SQA/SQC), Development Testing, Threat Modeling, Maintainability, Development Environment, Code Review, Application Deployment, Test Tools, Continuous Deployment, Quality Assurance, Continuous Delivery

      4.5
      Rating, 4.5 out of 5 stars
      ·
      436 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Data Scientist Career Guide and Interview Preparation

      Skills you'll gain: Professional Networking, Interviewing Skills, Professional Development, Presentations, Data Science, Company, Product, and Service Knowledge, Recruitment, Talent Sourcing, Writing, Business Research, Portfolio Management, Data Analysis, Job Analysis, Applicant Tracking Systems, Problem Solving, Communication, Python Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      251 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      K

      KodeKloud

      DevOps Mastery

      Skills you'll gain: Jenkins, Terraform, Infrastructure as Code (IaC), Linux Administration, Kubernetes, Docker (Software), CI/CD, Version Control, Ansible, Continuous Integration, Microservices, Git (Version Control System), Devops Tools, GitHub, General Networking, Containerization, Systems Administration, IT Automation, Python Programming, Programming Principles

      4.6
      Rating, 4.6 out of 5 stars
      ·
      164 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI and LLMs: Architecture and Data Preparation

      Skills you'll gain: Large Language Modeling, Generative AI, PyTorch (Machine Learning Library), Text Mining, Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Data Processing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      209 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Meta

      The Full Stack

      Skills you'll gain: Full-Stack Web Development, Front-End Web Development, Django (Web Framework), Scalability, Responsive Web Design, Web Applications, Back-End Web Development, MySQL, Cascading Style Sheets (CSS), Hypertext Markup Language (HTML), Cloud Computing, Application Programming Interface (API), Virtual Environment, Javascript

      4.6
      Rating, 4.6 out of 5 stars
      ·
      220 reviews

      Intermediate · Course · 1 - 3 Months

    • C

      Codio

      Go for Python Developers

      Skills you'll gain: Go (Programming Language), Object Oriented Programming (OOP), Web Services, Debugging, Development Environment, Restful API, Dependency Analysis, Performance Tuning, Version Control

      3.6
      Rating, 3.6 out of 5 stars
      ·
      10 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Foundations of AI and Machine Learning

      Skills you'll gain: Data Management, Artificial Intelligence and Machine Learning (AI/ML), Infrastructure Architecture, Cloud Infrastructure, MLOps (Machine Learning Operations), Application Deployment, Data Processing, Data Cleansing, Artificial Intelligence, Data Security, Application Frameworks, PyTorch (Machine Learning Library), Machine Learning, Tensorflow, Data Pipelines, Scikit Learn (Machine Learning Library), Scalability

      4.6
      Rating, 4.6 out of 5 stars
      ·
      120 reviews

      Intermediate · Course · 1 - 3 Months

    • I

      IBM

      Scalable Machine Learning on Big Data using Apache Spark

      Skills you'll gain: Apache Spark, PySpark, Applied Machine Learning, Big Data, Machine Learning Methods, Data Storage, Data Pipelines, Machine Learning Algorithms, Distributed Computing, Data Processing, Exploratory Data Analysis, Statistical Analysis

      3.8
      Rating, 3.8 out of 5 stars
      ·
      1.3K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      N

      New York Institute of Finance

      Operational Risk Management: Frameworks & Strategies

      Skills you'll gain: Operational Risk, Risk Management Framework, Risk Management, Business Risk Management, Enterprise Risk Management (ERM), Risk Appetite, Risk Control, Governance, Risk Analysis, Key Performance Indicators (KPIs), Business Process, Regulatory Requirements, Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      358 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Unsupervised Machine Learning

      Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Feature Engineering, Machine Learning, Statistical Machine Learning, Text Mining, Data Mining, Data Science, Big Data, NumPy, Data Analysis, Algorithms, Natural Language Processing, Linear Algebra

      4.7
      Rating, 4.7 out of 5 stars
      ·
      320 reviews

      Intermediate · Course · 1 - 3 Months

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

    • Parallel programming: École Polytechnique Fédérale de Lausanne
    • Create Machine Learning Models in Microsoft Azure: Microsoft
    • Engineering Practices for Building Quality Software: University of Minnesota
    • Data Scientist Career Guide and Interview Preparation: IBM
    • DevOps Mastery: KodeKloud
    • Generative AI and LLMs: Architecture and Data Preparation: IBM
    • The Full Stack: Meta
    • Go for Python Developers: Codio
    • Foundations of AI and Machine Learning: Microsoft
    • Scalable Machine Learning on Big Data using Apache Spark: IBM

    Why Learn Python?

    Python is a widely used programming language known for its simplicity and versatility. It powers everything from data analysis and automation to web development and machine learning. Whether you’re exploring tech for the first time or advancing your skills, Python offers a flexible foundation for solving problems and building real-world solutions.

    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 Python

    You can start with beginner-friendly Python courses that walk you through the basics step by step. Popular choices include Python for Everybody by the University of Michigan and Google's Crash Course on Python. If you’re looking to build job-ready skills, there are also full certificate programs that cover Python for data science, web development, or automation.‎

    Yes. Many Python courses offer a free audit option, which lets you watch videos and read course materials at no cost. If you want to get a certificate or complete graded assignments, you’ll need to pay or apply for financial aid.‎

    Python courses on Coursera offer comprehensive range of skills that are crucial for many technical careers:

    • Basic syntax and fundamentals of Python programming
    • Application of Python in data analysis, web development, and machine learning
    • Writing and debugging Python scripts and programs
    • Data visualization with libraries like Matplotlib and Seaborn
    • Use of libraries and frameworks such as Pandas, Flask, and Django
    • Automation of common system administration tasks using Python‎

    Not at all. Many Coursera Python courses are built for beginners and start with the basics. You can go at your own pace and gradually build confidence with hands-on practice.‎

    Yes. Python is one of the most in-demand programming languages in fields like data science, software development, and automation. Learning Python through Coursera can help you build real skills you can use on the job—and some courses include certificates and projects you can share with employers.‎

    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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