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Python Courses

Python courses can help you learn programming fundamentals, data analysis, web development, and automation techniques. You can build skills in writing clean code, debugging, and using libraries like Pandas and NumPy for data manipulation. Many courses also introduce frameworks such as Flask and Django for web applications, as well as tools like Jupyter Notebooks for interactive coding and visualization. These skills and tools are essential for tackling projects in data science, software development, and artificial intelligence.


Popular Python Courses and Certifications


  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Microsoft Python Development

    Skills you'll gain: Web Scraping, Data Structures, Git (Version Control System), Generative AI, Version Control, Matplotlib, Plotly, DevOps, Agile Methodology, Web Development, Data Ethics, Flask (Web Framework), Data Visualization, Scripting, GitHub, Debugging, Data Cleansing, Data Analysis, Automation, Cloud Computing

    4.4
    Rating, 4.4 out of 5 stars
    ·
    545 reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    MLOps | Machine Learning Operations

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

    4.2
    Rating, 4.2 out of 5 stars
    ·
    547 reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    I

    IBM

    IBM DevOps and Software Engineering

    Skills you'll gain: CI/CD, Software Development Life Cycle, Open Web Application Security Project (OWASP), Continuous Integration, Istio, Linux Commands, Software Architecture, Agile Software Development, Cloud Computing Architecture, Application Deployment, Test Driven Development (TDD), Kubernetes, Gherkin (Scripting Language), Restful API, Git (Version Control System), DevOps, Grafana, Software Engineering, Data Import/Export, Application Development

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    63K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    S

    Snowflake

    Snowflake Data Engineering

    Skills you'll gain: Data Engineering, Data Pipelines, Database Management, Data Manipulation, Databases, Data Transformation, Data Lakes, Extract, Transform, Load, Data Warehousing, DevOps, Cloud Development, SQL, Data Integration, CI/CD, Application Development, Artificial Intelligence and Machine Learning (AI/ML), Role-Based Access Control (RBAC), Software Development Tools, Stored Procedure, Data Analysis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    289 reviews

    Beginner · Professional Certificate · 1 - 3 Months

  • 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, Devops Tools, GitHub, Containerization, Operating System Administration, Git (Version Control System), General Networking, Systems Administration, DevOps, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    230 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Project Development in Python

    Skills you'll gain: DevOps, Agile Methodology, Docker (Software), Project Management, Technical Communication, Prometheus (Software), Business Requirements, Jira (Software), Requirements Elicitation, Python Programming, Natural Language Processing, Collaboration, Communication, Professional Networking, Interviewing Skills

    4.5
    Rating, 4.5 out of 5 stars
    ·
    22 reviews

    Beginner · Course · 1 - 3 Months

What brings you to Coursera today?

  • Status: Free Trial
    Free Trial
    L

    LearnQuest

    Python Scripting for DevOps

    Skills you'll gain: Containerization, Package and Software Management, Unified Modeling Language, Matplotlib, Software Testing, Docker (Software), Unit Testing, Development Testing, CI/CD, Test Automation, Data Manipulation, Pandas (Python Package), Data Visualization, Scripting, Data Modeling, DevOps, Programming Principles, Python Programming, Data Structures, Computer Programming

    4
    Rating, 4 out of 5 stars
    ·
    208 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM Applied DevOps Engineering

    Skills you'll gain: CI/CD, Open Web Application Security Project (OWASP), Continuous Integration, Istio, Agile Software Development, Application Deployment, Test Driven Development (TDD), Kubernetes, Gherkin (Scripting Language), Jenkins, Code Coverage, OpenShift, Cloud Applications, Agile Methodology, Serverless Computing, Behavior-Driven Development, DevOps, Secure Coding, Grafana, System Monitoring

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
    ·
    7.8K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • P

    Packt

    YAML Fundamentals for DevOps, Cloud and IaC Engineers

    Skills you'll gain: Extensible Markup Language (XML), Ansible, Infrastructure as Code (IaC), JSON, Kubernetes, Cloud-Native Computing, DevOps, Microsoft Visual Studio, Python Programming

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    DevOps, DataOps, MLOps

    Skills you'll gain: MLOps (Machine Learning Operations), Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Containerization, Tensorflow, Web Frameworks, Rust (Programming Language), Microsoft Copilot, DevOps, Cloud Solutions, CI/CD, Machine Learning, Serverless Computing, Docker (Software), GitHub, Command-Line Interface, Big Data

    4.2
    Rating, 4.2 out of 5 stars
    ·
    204 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Spark, Hadoop, and Snowflake for Data Engineering

    Skills you'll gain: PySpark, Snowflake Schema, Databricks, Data Pipelines, Apache Spark, MLOps (Machine Learning Operations), Apache Hadoop, Big Data, Data Warehousing, Data Quality, Data Integration, Data Processing, DevOps, Data Transformation, SQL, Python Programming

    3.9
    Rating, 3.9 out of 5 stars
    ·
    61 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    C

    Coursera

    Operationalizing ML Models: MLOps for Scalable AI

    Skills you'll gain: MLOps (Machine Learning Operations), CI/CD, Continuous Deployment, Docker (Software), Kubernetes, Containerization, Scalability, Continuous Integration, DevOps, Data Infrastructure, IT Infrastructure, Infrastructure Architecture, Cloud Infrastructure, Artificial Intelligence and Machine Learning (AI/ML), Continuous Monitoring, Real Time Data, Version Control

    Intermediate · Course · 1 - 4 Weeks

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

  • Microsoft Python Development: Microsoft
  • MLOps | Machine Learning Operations: Duke University
  • IBM DevOps and Software Engineering: IBM
  • Snowflake Data Engineering: Snowflake
  • DevOps Mastery: KodeKloud
  • Project Development in Python: Microsoft
  • Python Scripting for DevOps: LearnQuest
  • IBM Applied DevOps Engineering: IBM
  • YAML Fundamentals for DevOps, Cloud and IaC Engineers: Packt
  • DevOps, DataOps, MLOps: Duke University

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

Python is a versatile programming language known for its readability and simplicity. It is widely used in various fields, including web development, data analysis, artificial intelligence, and scientific computing. Its importance lies in its ability to empower individuals and organizations to automate tasks, analyze data, and create applications efficiently. As technology continues to evolve, Python remains a crucial skill for anyone looking to thrive in the digital landscape.‎

With Python skills, you can pursue various job roles, including software developer, data analyst, data scientist, machine learning engineer, and web developer. These positions are in high demand across industries, as companies seek professionals who can leverage Python for data-driven decision-making and automation. Additionally, roles in cybersecurity and artificial intelligence are increasingly looking for candidates with Python expertise.‎

To learn Python effectively, you should focus on several key skills. Start with the basics of programming, including syntax, data types, and control structures. Understanding libraries and frameworks, such as Pandas for data manipulation and Flask for web development, is also essential. Additionally, familiarity with version control systems like Git and knowledge of databases can enhance your Python proficiency.‎

There are many excellent online Python courses available. For beginners, the BiteSize Python for Absolute Beginners Specialization offers a gentle introduction. For those looking to advance their skills, the AI and Machine Learning Essentials with Python Specialization provides a solid foundation in applying Python to AI. Additionally, the Data Analysis with Python Specialization is great for those interested in data science.‎

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

  1. Preview the first module of many 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 python, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.‎

To learn Python, begin by choosing a structured course or specialization that matches your skill level. Dedicate time to practice coding regularly, as hands-on experience is crucial. Utilize online resources, such as forums and coding communities, to seek help and collaborate with others. Finally, work on personal projects to apply what you've learned and reinforce your skills.‎

Typical topics covered in Python courses include basic syntax, data structures (like lists and dictionaries), control flow (if statements, loops), functions, and modules. Advanced courses may explore object-oriented programming, web development frameworks, data analysis libraries, and machine learning techniques. This comprehensive curriculum ensures you gain a well-rounded understanding of Python.‎

For training and upskilling employees, the Google IT Automation with Python Professional Certificate is an excellent choice, as it focuses on practical skills for IT professionals. Additionally, the Microsoft Python Development Professional Certificate provides a robust foundation for those looking to enhance their programming capabilities in a corporate environment.‎

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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