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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
      Free
      P

      Princeton University

      Algorithms, Part I

      Skills you'll gain: Data Structures, Algorithms, Java, Performance Testing, Computer Programming, Theoretical Computer Science, Object Oriented Programming (OOP), Computational Thinking

      4.9
      Rating, 4.9 out of 5 stars
      ·
      12K reviews

      Intermediate · Course · 3 - 6 Months

    • Status: New
      New
      C

      Coursera Instructor Network

      Data and Machine Learning for Technical Product Managers

      Skills you'll gain: Technical Communication, Technical Product Management, Workflow Management, Performance Metric, Data Analysis, Agile Methodology, Project Management, Stakeholder Communications, Communication, Data-Driven Decision-Making, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Large Language Modeling, R Programming

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      C

      Coursera Instructor Network

      GenAI for Medical Coders: Simplifying Documentation

      Skills you'll gain: Generative AI, Regulatory Compliance, Medical Records, Medical Billing and Coding, Health Information Management and Medical Records, Technical Documentation, Automation, Natural Language Processing

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      M

      Macquarie University

      AI for Cyber Security

      Skills you'll gain: Anomaly Detection, Cyber Threat Hunting, Intrusion Detection and Prevention, Artificial Intelligence and Machine Learning (AI/ML), Cybersecurity, Network Security, Threat Detection, Applied Machine Learning, Malware Protection, Network Analysis, Machine Learning, Machine Learning Algorithms, Supervised Learning

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Packt

      Financial & Technical Skills for Business Success

      Skills you'll gain: Financial Statement Analysis, Blogs, Spreadsheet Software, Income Statement, Data Visualization, Excel Formulas, Financial Accounting, Balance Sheet, Data Analysis, Microsoft Excel, Cash Flows, Registration, Web Servers, Content Creation

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      I

      IBM

      Develop Generative AI Applications: Get Started

      Skills you'll gain: Prompt Engineering, Generative AI, Large Language Modeling, Application Development, Full-Stack Web Development, Flask (Web Framework), JSON, Natural Language Processing

      4.9
      Rating, 4.9 out of 5 stars
      ·
      10 reviews

      Intermediate · Course · 1 - 4 Weeks

    • 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

    • Status: New
      New
      C

      Case Western Reserve University

      Using R for Geostatistical Geospatial Modeling

      Skills you'll gain: Geostatistics, Exploratory Data Analysis, Spatial Analysis, Descriptive Statistics, Box Plots, Statistical Modeling, Geospatial Information and Technology, R Programming, Plot (Graphics), Rmarkdown, Data Analysis, Data Cleansing, Statistical Methods, Statistical Analysis, Data Import/Export, Simulations

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      S

      SAS

      SAS Programmer

      Skills you'll gain: Data Manipulation, SAS (Software), Data Access, Data Import/Export, Microsoft Excel, Data Analysis, Data Transformation, Exploratory Data Analysis, Data Validation, Data Synthesis, Statistical Programming, Statistical Analysis, Data Processing, Data Integration, SQL, Data Presentation, Data Cleansing, Descriptive Statistics, Debugging, Program Development

      Build toward a degree

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

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: New
      New
      C

      Coursera Instructor Network

      GenAI for Cash Flow Managers: Optimizing Liquidity Planning

      Skills you'll gain: Cash Flow Forecasting, Cash Management, Accounts Payable, Financial Forecasting, Risk Management, Generative AI, Data Ethics, Risk Mitigation, Financial Data, Business Process Automation, Accounts Receivable, Workflow Management, Regulatory Compliance, Compliance Training, International Financial Reporting Standards, Artificial Intelligence, ChatGPT, Automation, Prompt Engineering, Dashboard

      Intermediate · Course · 1 - 4 Weeks

    • 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

    • I

      IBM

      Machine Learning Introduction for Everyone

      Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Applied Machine Learning, Deep Learning, Supervised Learning, IBM Cloud, Predictive Modeling, Classification And Regression Tree (CART), Unsupervised Learning, Reinforcement Learning, Software Development Life Cycle

      4.5
      Rating, 4.5 out of 5 stars
      ·
      281 reviews

      Beginner · Course · 1 - 4 Weeks

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

    • Algorithms, Part I: Princeton University
    • Data and Machine Learning for Technical Product Managers: Coursera Instructor Network
    • GenAI for Medical Coders: Simplifying Documentation: Coursera Instructor Network
    • AI for Cyber Security: Macquarie University
    • Financial & Technical Skills for Business Success: Packt
    • Develop Generative AI Applications: Get Started: IBM
    • Introduction to Machine Learning: Duke University
    • Using R for Geostatistical Geospatial Modeling : Case Western Reserve University
    • SAS Programmer: SAS
    • GenAI for Cash Flow Managers: Optimizing Liquidity Planning: Coursera Instructor Network

    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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