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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

    • I

      IBM

      Cloud Application Development Foundations

      Skills you'll gain: Node.JS, Cloud Computing Architecture, Server Side, Cloud-Native Computing, React Redux, Cloud Services, NoSQL, MongoDB, React.js, Agile Methodology, Front-End Web Development, JavaScript Frameworks, Cloud Security, Hypertext Markup Language (HTML), HTML and CSS, Cloud Infrastructure, Restful API, Web Development, Web Development Tools, Back-End Web Development

      4.6
      Rating, 4.6 out of 5 stars
      ·
      9.6K reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of Pennsylvania

      Computational Thinking for Problem Solving

      Skills you'll gain: Computational Thinking, Algorithms, Pseudocode, Analytical Skills, Computer Science, Python Programming, Data Structures, Computer Hardware, Computer Programming, Analysis, Computer Architecture, Debugging

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.4K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      U

      University of California San Diego

      Biology Meets Programming: Bioinformatics for Beginners

      Skills you'll gain: Bioinformatics, Programming Principles, Computational Thinking, Analysis

      4.2
      Rating, 4.2 out of 5 stars
      ·
      1.6K reviews

      Beginner · Course · 1 - 4 Weeks

    • I

      IBM

      Applied Data Science Capstone

      Skills you'll gain: Plotly, Exploratory Data Analysis, Predictive Modeling, Interactive Data Visualization, Data Science, Data-Driven Decision-Making, Data Storytelling, Data Presentation, Data Analysis, Pandas (Python Package), Web Scraping, Statistical Machine Learning, Data Wrangling, Data Collection

      4.7
      Rating, 4.7 out of 5 stars
      ·
      7.2K reviews

      Intermediate · Course · 1 - 3 Months

    • P

      Packt

      Prompt Engineering in Python, with GPT, and the OpenAI API

      Skills you'll gain: ChatGPT, OpenAI, Generative AI, JSON, Python Programming, Feature Engineering, Text Mining, Application Programming Interface (API), Artificial Intelligence, Computer Vision

      Intermediate · Course · 1 - 3 Months

    • I

      IBM

      Generative AI for Data Analysts

      Skills you'll gain: Generative AI, ChatGPT, Data Storytelling, OpenAI, Analytics, Data Analysis, Dashboard, Data Ethics, Artificial Intelligence, IBM Cloud, Data Visualization Software, Artificial Intelligence and Machine Learning (AI/ML), SQL, Python Programming, Data Processing, Software Development Tools, Data Cleansing, Augmented and Virtual Reality (AR/VR), Image Analysis, Technical Communication

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

      Intermediate · Specialization · 1 - 3 Months

    • Placeholder
      U

      University of Michigan

      Python Debugging Capstone Project: Fixing and Extending Code

      Skills you'll gain: Debugging, Data Structures, NumPy, Pandas (Python Package), Program Development, Scientific Visualization, Data Manipulation, Jupyter, Data Processing, Numerical Analysis, Data Cleansing, Computational Thinking, Integrated Development Environments, Programming Principles, Maintainability, Software Documentation, Python Programming

      Intermediate · Course · 1 - 4 Weeks

    • Placeholder
      J

      Johns Hopkins University

      Genomic Data Science

      Skills you'll gain: Bioinformatics, Unix Commands, Biostatistics, Exploratory Data Analysis, Statistical Analysis, Unix, Data Science, Data Management, Statistical Methods, Command-Line Interface, Statistical Hypothesis Testing, Linux Commands, Science and Research, Statistical Modeling, Data Structures, Data Analysis, R Programming, Computational Thinking, Statistical Programming, Jupyter

      4.5
      Rating, 4.5 out of 5 stars
      ·
      6.6K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Placeholder
      Status: AI skills
      AI skills
      M

      Meta

      Meta Marketing Analytics

      Skills you'll gain: Data Storytelling, Business Metrics, Key Performance Indicators (KPIs), Marketing Analytics, Bayesian Statistics, Descriptive Statistics, Marketing Effectiveness, Statistical Hypothesis Testing, Target Audience, Marketing Strategies, Data Cleansing, Pandas (Python Package), Data Modeling, Data Analysis, Data Visualization Software, Spreadsheet Software, A/B Testing, Data Collection, Marketing, Interviewing Skills

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.6K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Placeholder
      U

      University of Washington

      Machine Learning: Regression

      Skills you'll gain: Regression Analysis, Predictive Modeling, Supervised Learning, Statistical Modeling, Applied Machine Learning, Machine Learning Algorithms, Feature Engineering, Machine Learning, Statistical Methods, Dimensionality Reduction, Python Programming, Data Validation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      5.6K reviews

      Mixed · Course · 1 - 3 Months

    • Placeholder
      G

      Google

      Go Beyond the Numbers: Translate Data into Insights

      Skills you'll gain: Exploratory Data Analysis, Data Storytelling, Data Visualization Software, Data Presentation, Data Transformation, Data Ethics, Tableau Software, Data Manipulation, Data Cleansing, Data Analysis, Data Processing, Stakeholder Communications, Matplotlib, Pandas (Python Package), Jupyter, Data Validation, Python Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      757 reviews

      Advanced · Course · 1 - 3 Months

    • Placeholder
      I

      Imperial College London

      Mathematics for Machine Learning: PCA

      Skills you'll gain: Dimensionality Reduction, NumPy, Probability & Statistics, Jupyter, Statistics, Geometry, Linear Algebra, Data Transformation, Python Programming, Advanced Mathematics, Machine Learning, Machine Learning Algorithms, Calculus

      4
      Rating, 4 out of 5 stars
      ·
      3.1K reviews

      Intermediate · Course · 1 - 4 Weeks

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

    • Cloud Application Development Foundations: IBM
    • Computational Thinking for Problem Solving: University of Pennsylvania
    • Biology Meets Programming: Bioinformatics for Beginners: University of California San Diego
    • Applied Data Science Capstone: IBM
    • Prompt Engineering in Python, with GPT, and the OpenAI API: Packt
    • Generative AI for Data Analysts: IBM
    • Python Debugging Capstone Project: Fixing and Extending Code: University of Michigan
    • Genomic Data Science: Johns Hopkins University
    • Meta Marketing Analytics: Meta
    • Machine Learning: Regression: University of Washington

    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.‎

    Beginners can start with introductory Python courses designed specifically for those new to programming. These courses often present fundamental concepts like variables, control structures, and basic syntax in a structured, step-by-step format. Interactive lessons, hands-on exercises, and guided projects help reinforce learning and build confidence. Opting for a self-paced format can also allow you to progress at a comfortable speed.‎

    Python is a versatile, high-level programming language known for its clear syntax and readability, making it accessible for both beginners and seasoned developers. It is widely used in areas such as data analysis, machine learning, web development, and automation, which have become crucial in today's technology-driven environment. Because of its extensive libraries and strong community support, Python helps professionals build innovative solutions and stay competitive in a rapidly evolving job market.‎

    Coursera offers Python certification programs that help validate your coding skills through structured curricula. These programs typically combine theoretical knowledge with practical assessments and projects designed to demonstrate your proficiency. Earning a certification from a recognized partner can help signal your commitment to professional development and potentially boost career prospects. It's advisable to examine course requirements and outcomes to determine which certification aligns with your career objectives.‎

    To select a Python course that aligns with your learning style and career aspirations, start by reviewing course outlines, teaching methods, and available resources such as interactive projects or community support. Evaluating learner reviews and course outcomes can offer additional insights into how the course may help you meet your professional goals. Taking the time to match the course content with your interests and required skill level will support a more meaningful learning experience.‎

    Free Python courses and resources are available on Coursera. These resources often include introductory tutorials, video lessons, and interactive coding exercises designed to build a strong foundation. Starting with these free options can help you gain essential programming fundamentals before exploring more specialized or advanced courses. They serve as an accessible first step into the world of coding.‎

    Learning Python can significantly enhance your problem-solving and analytical skills, which are beneficial across various industries. Its widespread use in fields like data science, web development, and automation means that proficiency in Python is often linked to in-demand job roles. By developing hands-on coding skills and completing practical projects, you can build a portfolio that showcases your expertise and opens new avenues for career growth. This commitment to continuous learning is increasingly valued in today's competitive job market.‎

    When evaluating a Python certification program, look for a curriculum that covers both essential and advanced topics relevant to current industry practices. Programs developed with input from industry experts or leading academic institutions often include robust assessments and practical projects. It's also helpful to consider programs that offer recognized credentials and positive reviews from proven learners. This approach ensures that the certification reflects a level of expertise that meets professional standards and supports your career goals.‎

    Advancing beyond beginner-level Python skills typically involves engaging with intermediate and advanced courses that introduce more complex programming concepts, such‎

    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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