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    • Python For Beginners

    Python for Beginners Courses Online

    Learn Python programming from scratch. Understand Python syntax, data structures, and basic programming concepts for beginners.

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    Explore the Python for Beginners Course Catalog

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Epidemiology in Public Health Practice

      Skills you'll gain: Epidemiology, Public Health, Spatial Data Analysis, Data Presentation, Public Health and Disease Prevention, Geographic Information Systems, Health Policy, Chronic Diseases, Health Systems, Infectious Diseases, Biostatistics, Risk Analysis, Investigation, Community Health, Health Care, Data Analysis, Program Evaluation, Health Information Management, Health Informatics, Continuous Monitoring

      4.7
      Rating, 4.7 out of 5 stars
      ·
      4.5K reviews

      Beginner · Specialization · 3 - 6 Months

    • D

      Duke University

      Introduction to Machine Learning

      Skills you'll gain: PyTorch (Machine Learning Library), Reinforcement Learning, Image Analysis, Applied Machine Learning, Deep Learning, Machine Learning, Natural Language Processing, Supervised Learning, Unsupervised Learning, Artificial Neural Networks, Computer Vision, Medical Imaging

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.7K reviews

      Intermediate · Course · 1 - 3 Months

    • U

      Università Bocconi

      International Leadership and Organizational Behavior

      Skills you'll gain: Conflict Management, Team Motivation, Intercultural Competence, Professional Networking, Organizational Leadership, Cultural Diversity, Cross-Functional Team Leadership, Communication, Leadership, Relationship Building, Ethical Standards And Conduct, Decision Making

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.5K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Pennsylvania

      Operations Analytics

      Skills you'll gain: Business Analytics, Descriptive Analytics, Predictive Analytics, Analytics, Demand Planning, Data-Driven Decision-Making, Operational Analysis, Business Operations, Risk Analysis, Forecasting, Operations Management, Simulation and Simulation Software, Process Optimization, Decision Making, Decision Tree Learning, Spreadsheet Software, Microsoft Excel, Probability Distribution

      4.7
      Rating, 4.7 out of 5 stars
      ·
      5.1K reviews

      Mixed · Course · 1 - 4 Weeks

    • U

      University of Michigan

      Introduction to Thermodynamics: Transferring Energy from Here to There

      Skills you'll gain: Mechanical Engineering, Thermal Management, HVAC, Engineering, Energy and Utilities, Physics, Engineering Analysis, Plant Operations and Management, Process Analysis, Environmental Science

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.4K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      T

      The Museum of Modern Art

      Teaching with Art: Using Inquiry, Activities, and Themes

      Skills you'll gain: Design Thinking, Art History, Liberal Arts, Lesson Planning, Literacy, Creative Thinking, Aesthetics, Learning Styles, Creativity, Teaching, Social Studies, Learning Strategies, Empathy, Critical Thinking, Emotional Intelligence, Instructional Strategies, Student Engagement, Self-Awareness, Curriculum Planning, Curriculum Development

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2K reviews

      Intermediate · Specialization · 3 - 6 Months

    • U

      University of London

      Introduction to English Common Law

      Skills you'll gain: Court Systems, Case Law, Legal Research, Legal Proceedings, Law, Regulation, and Compliance, Civil Law, Political Sciences, European History, Governance, International Relations

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Washington

      Machine Learning Foundations: A Case Study Approach

      Skills you'll gain: Applied Machine Learning, Feature Engineering, Regression Analysis, Machine Learning, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Artificial Intelligence, Deep Learning, Classification And Regression Tree (CART), Computer Vision, Application Development, Predictive Modeling, Natural Language Processing, Text Mining, Data Mining, Information Architecture

      4.6
      Rating, 4.6 out of 5 stars
      ·
      14K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Amsterdam

      Basic Statistics

      Skills you'll gain: Descriptive Statistics, Statistical Hypothesis Testing, Sampling (Statistics), Probability Distribution, Correlation Analysis, Probability, Statistical Inference, Regression Analysis, Sample Size Determination, Statistics, Scientific Methods

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

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      V

      Vanderbilt University

      Agentic AI and AI Agents: A Primer for Leaders

      Skills you'll gain: Generative AI Agents, Workflow Management, Agentic systems, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Business Process Automation, Generative AI, Automation, Business Transformation, Technology Strategies, Business Strategy, Strategic Decision-Making, Emerging Technologies

      4.7
      Rating, 4.7 out of 5 stars
      ·
      258 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      Universiteit Leiden

      International Humanitarian Law in Theory and Practice

      Skills you'll gain: International Relations, Conflict Management, Child Welfare, Ethical Standards And Conduct, Working With Children, Legal Research, Case Law, Journalism, Investigation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.9K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      Institute for the Future

      Ready, Set, Future! Introduction to Futures Thinking

      Skills you'll gain: Forecasting, Innovation, Proactivity, Strategic Thinking, Creative Thinking, Optimism, Systems Thinking, Cognitive flexibility, Trend Analysis, Professional Development, Adaptability, Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.3K reviews

      Beginner · Course · 1 - 4 Weeks

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

    • Epidemiology in Public Health Practice: Johns Hopkins University
    • Introduction to Machine Learning: Duke University
    • International Leadership and Organizational Behavior: Università Bocconi
    • Operations Analytics: University of Pennsylvania
    • Introduction to Thermodynamics: Transferring Energy from Here to There: University of Michigan
    • Teaching with Art: Using Inquiry, Activities, and Themes: The Museum of Modern Art
    • Introduction to English Common Law: University of London
    • Machine Learning Foundations: A Case Study Approach: University of Washington
    • Basic Statistics: University of Amsterdam
    • Agentic AI and AI Agents: A Primer for Leaders: Vanderbilt 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 For Beginners

    Python courses for beginners cover a variety of foundational topics essential for learning to program with Python. These include the basics of Python syntax, variables, and data types. Learners will explore topics such as control structures (if statements, loops), functions, and basic data structures like lists, dictionaries, and tuples. Courses often include an introduction to modules and libraries, error handling, and basic file I/O operations. Practical exercises and projects help learners apply these concepts to real-world scenarios, enhancing their ability to write simple Python programs.‎

    Choosing the right Python course for beginners depends on your learning preferences and goals. Look for courses that cover the basics of Python programming in a clear and structured manner. Consider courses that provide practical exercises, quizzes, and projects to reinforce learning. Reviewing course content, instructor expertise, and learner feedback can help ensure the course aligns with your learning style and goals. Many courses also offer interactive content and hands-on projects to help solidify your understanding of Python.‎

    Completing a Python course for beginners can open up various career opportunities and serve as a stepping stone to more advanced programming roles. Common entry-level roles include junior developer, data analyst, and QA tester. These positions involve writing and debugging Python code, analyzing data sets, and developing simple applications. With further learning and experience, you can advance to roles such as software developer, data scientist, or machine learning engineer. Mastering Python as a beginner can significantly enhance your career prospects in fields such as technology, finance, healthcare, and education.‎

    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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