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    Python Courses Online

    Master Python for versatile programming. Learn Python syntax, data structures, and libraries for web development, data science, and automation.

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    Explore the Python Course Catalog

    • Status: New
      New

      Packt

      Hands-on Hacking

      Skills you'll gain: Penetration Testing, Cyber Security Assessment, Vulnerability Assessments, Active Directory, Web Applications, Windows Servers, Microsoft Windows, Network Security, Program Development, Bash (Scripting Language), Command-Line Interface, Shell Script, Apache Tomcat, Unix Shell, Proxy Servers, Unix Commands, Scripting

      Intermediate · Course · 1 - 3 Months

    • University of Michigan

      Master of Applied Data Science

      Skills you'll gain: Data Ethics, Database Design, Reinforcement Learning, Supervised Learning, Data Visualization, Experimentation, PySpark, Interactive Data Visualization, Generative AI, Pandas (Python Package), Network Analysis, Deep Learning, Cloud Services, Applied Machine Learning, Database Management, Linear Algebra, Natural Language Processing, JSON, Data Mining, Qualitative Research

      Earn a degree

      Degree · 1 - 4 Years

    • Universidad de los Andes

      Principios de ingeniería de software automatizada y ágil Certificado MasterTrack®

      Skills you'll gain: User Story, Maintainability, Test Automation, Software Testing, Version Control, Test Driven Development (TDD), Git (Version Control System), Software Architecture, Continuous Integration, Software Design, Unit Testing, Acceptance Testing, Usability, System Testing, Software Design Patterns, Web Content Accessibility Guidelines, Agile Software Development, Angular, Agile Project Management, Unified Modeling Language

      Credit offered

      Mastertrack · 6 - 12 Months

    • 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, Cloud Development, Agile Software Development, Security Requirements Analysis, Continuous Integration, Cloud Applications, Infrastructure As A Service (IaaS), Unit Testing, Acceptance Testing, Usability, Software Engineering, Sprint Retrospectives, System Testing, Application Security, Software Architecture, Web Content Accessibility Guidelines

      Credit offered

      Mastertrack · 6 - 12 Months

    • University of Pittsburgh

      Master of Data Science

      Skills you'll gain:

      Earn a degree

      Degree · 1 - 4 Years

    • Imperial College London

      Master of Science in Machine Learning and Data Science

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

      Earn a degree

      Degree · 1 - 4 Years

    • University of Colorado Boulder

      Master of Science in Data Science

      Skills you'll gain: Object Oriented Design, User Story, SQL, Systems Engineering, New Product Development, Field-Programmable Gate Array (FPGA), Strategic Decision-Making, Delegation Skills, Sampling (Statistics), Failure Analysis, Diversity Equity and Inclusion Initiatives, Supplier Management, Sustainability Reporting, Data Ethics, Data Mining, Statistical Modeling, Unsupervised Learning, Goal Setting, Proposal Writing, Generative AI

      Earn a degree

      Degree · 1 - 4 Years

    • University of Leeds

      Master of Science in Data Science (Statistics)

      Skills you'll gain: Data Ethics, Regression Analysis, Unsupervised Learning, Statistical Hypothesis Testing, Correlation Analysis, Statistical Machine Learning, Data Visualization, Statistical Methods, Classification And Regression Tree (CART), Exploratory Data Analysis, Planning, Applied Machine Learning, Machine Learning Methods, Data Visualization Software, Bayesian Statistics, Dimensionality Reduction, Supervised Learning, Box Plots, Statistical Modeling, Data Analysis

      Earn a degree

      Degree · 1 - 4 Years

    • 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, Risk Analysis, Time Series Analysis and Forecasting, Project Management Life Cycle, MLOps (Machine Learning Operations), Marketing Analytics, Cash Flows, Business Analysis, Matplotlib, Descriptive Analytics, Statistical Analysis, Simulations, Random Forest Algorithm, Operations Research, Product Development

      Earn a degree

      Degree · 1 - 4 Years

    • Universidad de los Andes

      Maestría en Ingeniería de Software

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

      Earn a degree

      Degree · 1 - 4 Years

    • Universidad de los Andes

      Maestría en Inteligencia Artificial

      Skills you'll gain: 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, Data Ethics, Embedded Systems, Application Deployment, Game Theory, Epidemiology, Automation

      Earn a degree

      Degree · 1 - 4 Years

    • Northeastern University

      Master of Science in Data Analytics Engineering

      Skills you'll gain:

      Earn a degree

      Degree · 1 - 4 Years

    Python learners also search

    Beginner Python
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    1…96979899

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

    • Hands-on Hacking: Packt
    • Master of Applied Data Science: University of Michigan
    • Principios de ingeniería de software automatizada y ágil Certificado MasterTrack®: Universidad de los Andes
    • Metodologías ágiles de desarrollo de software Certificado MasterTrack®: Universidad de los Andes
    • Master of Data Science: University of Pittsburgh
    • Master of Science in Machine Learning and Data Science: Imperial College London
    • Master of Science in Data Science: University of Colorado Boulder
    • Master of Science in Data Science (Statistics): University of Leeds
    • Maestría en Inteligencia Analítica de Datos: Universidad de los Andes
    • Maestría en Ingeniería de Software: Universidad de los Andes

    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

    Knowing why you want to learn Python, be it for data analysis, web development, or automating tasks, can help you stay focused. Regular practice with Python solidifies your understanding and improves problem-solving skills. Engage with coding communities like Stack Overflow or Reddit’s r/learnpython for support and insights. Work on real projects such as developing small scripts or applications. Coursera’s Python for Everybody by the University of Michigan is an excellent place to start.‎

    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

    Python courses on Coursera are accessible to learners with varying levels of experience:

    • Beginners can start with introductory courses that cover the basics of Python and programming concepts.
    • Intermediate learners can enhance their skills in specific applications like web development or data science.
    • Advanced programmers can explore in-depth topics such as algorithmic programming and complex data structures in Python.

    Test your Python skills with our Python Skill Assessment to gauge your proficiency and readiness for advanced topics.‎

    Coursera provides several credential options for learners who complete Python courses:

    • Professional certificates that validate your Python programming skills.
    • Specializations that go into detail in areas like artificial intelligence, cybersecurity, or big data.
    • Certificates that are recognized by industry leaders and can help pave the way for career advancement.‎

    Python is a versatile language that opens the door to numerous career paths:

    • Software Developer, creating applications and software solutions using Python.
    • Data Analyst, deriving insights from data sets with Python’s analytical tools.
    • Machine Learning Engineer, building and training models using Python’s machine learning libraries.
    • Web Developer, designing and maintaining websites with Python’s web frameworks.
    • Automation Engineer, implementing automation scripts that streamline business processes.‎

    Yes, Coursera offers a variety of free courses across many topics, including Python. While you can access most course materials for free by auditing the courses, this does not include graded assignments or a completion certificate. For those looking to obtain a certificate to showcase their learning or enhance their professional profile, Coursera provides the option to purchase the course. Additionally, Coursera offers free trials or financial aid to learners who qualify, making certifications more accessible to everyone.‎

    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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