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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

    • U

      University of Pittsburgh

      Master of Data Science

      Skills you'll gain:

      Earn a degree

      Degree · 1 - 4 Years

    • U

      Universidad de los Andes

      Metodologías ágiles de desarrollo de software Certificado MasterTrack®

      Skills you'll gain: Test Automation, Android Jetpack, User Story, Software Testing, Kotlin, Agile Software Development, Team Building, Security Requirements Analysis, Continuous Integration, Cloud Applications, Infrastructure As A Service (IaaS), Unit Testing, Acceptance Testing, Usability, Software Engineering, Sprint Retrospectives, Application Security, Software Architecture, Web Content Accessibility Guidelines, Platform As A Service (PaaS)

      Credit offered

      Mastertrack · 6 - 12 Months

    • N

      Northeastern University

      Master of Science in Information Systems

      Skills you'll gain:

      Earn a degree

      Degree · 1 - 4 Years

    • U

      Universidad de los Andes

      Maestría en Inteligencia Analítica de Datos

      Skills you'll gain: Systems Thinking, Network Analysis, Unsupervised Learning, Data Storytelling, Deep Learning, Predictive Modeling, Data Presentation, Risk Analysis, Time Series Analysis and Forecasting, Project Management Life Cycle, MLOps (Machine Learning Operations), Marketing Analytics, Cash Flows, Matplotlib, Descriptive Analytics, Statistical Analysis, Simulations, Random Forest Algorithm, Operations Research, Solution Design

      Earn a degree

      Degree · 1 - 4 Years

    • U

      University of Colorado Boulder

      Master of Science in Data Science

      Skills you'll gain: Object Oriented Design, User Story, Systems Engineering, Real-Time Operating Systems, Field-Programmable Gate Array (FPGA), New Product Development, Failure Analysis, Delegation Skills, Unsupervised Learning, Sampling (Statistics), Supplier Management, Sustainability Reporting, Accountability, Data Ethics, Data Mining, Statistical Modeling, Database Design, Goal Setting, Generative AI, Process Capability

      Earn a degree

      Degree · 1 - 4 Years

    • U

      Universidad de los Andes

      Maestría en Inteligencia Artificial

      Skills you'll gain: Real-Time Operating Systems, Supervised Learning, Unsupervised Learning, Anomaly Detection, Computer Vision, Reinforcement Learning, Cloud-Native Computing, Natural Language Processing, Containerization, Deep Learning, Dimensionality Reduction, Artificial Intelligence, Machine Learning, CI/CD, Probability & Statistics, Control Systems, Data Ethics, Application Deployment, Epidemiology, Education Software and Technology

      Earn a degree

      Degree · 1 - 4 Years

    • I

      Imperial College London

      Master of Science in Machine Learning and Data Science

      Skills you'll gain: Supervised Learning, Data Ethics, Exploratory Data Analysis, Unsupervised Learning, Student Support and Services, PySpark, Bayesian Statistics, Data Pipelines, Ggplot2, Dimensionality Reduction, Linear Algebra, Student Services, Data Processing, Big Data, Agentic systems, Anomaly Detection, A/B Testing, Unstructured Data, Deep Learning, Applied Machine Learning

      Earn a degree

      Degree · 1 - 4 Years

    • U

      University of Leeds

      Master of Science in Data Science (Statistics)

      Skills you'll gain: Regression Analysis, Statistical Hypothesis Testing, Statistical Machine Learning, Statistical Methods, Classification And Regression Tree (CART), Network Analysis, Planning, Statistical Modeling, Applied Machine Learning, Bayesian Statistics, Unsupervised Learning, Dimensionality Reduction, Data Visualization Software, Supervised Learning, Exploratory Data Analysis, Decision Tree Learning, R Programming, Probability, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis

      Earn a degree

      Degree · 1 - 4 Years

    • U

      Universidad de los Andes

      Maestría en Ingeniería de Software

      Skills you'll gain: User Story, Process Analysis, Maintainability, Test Automation, Angular, Android Jetpack, Risk Mitigation, Cloud-Native Computing, Dashboard, Design Thinking, Site Reliability Engineering, API Design, Video Game Development, Internet Of Things, Sprint Planning, User Experience Design, Microservices, Machine Learning, Security Requirements Analysis, Cloud Applications

      Earn a degree

      Degree · 1 - 4 Years

    • N

      Northeastern University

      Master of Science in Data Analytics Engineering

      Skills you'll gain:

      Earn a degree

      Degree · 1 - 4 Years

    Searches related to python

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    python for everybody
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    1…979899100

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

    • Master of Data Science: University of Pittsburgh
    • Metodologías ágiles de desarrollo de software Certificado MasterTrack®: Universidad de los Andes
    • Master of Science in Information Systems: Northeastern University
    • Maestría en Inteligencia Analítica de Datos: Universidad de los Andes
    • Master of Science in Data Science: University of Colorado Boulder
    • Maestría en Inteligencia Artificial: Universidad de los Andes
    • Master of Science in Machine Learning and Data Science: Imperial College London
    • Master of Science in Data Science (Statistics): University of Leeds
    • Maestría en Ingeniería de Software: Universidad de los Andes
    • Master of Science in Data Analytics Engineering: Northeastern University

    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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