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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
      I

      IBM

      Excel Basics for Data Analysis

      Skills you'll gain: Excel Formulas, Microsoft Excel, Data Cleansing, Data Analysis, Data Import/Export, Spreadsheet Software, Data Wrangling, Data Quality, Pivot Tables And Charts, Google Sheets, Data Manipulation, Data Visualization Software, Information Privacy

      4.8
      Rating, 4.8 out of 5 stars
      ·
      9.6K reviews

      Beginner · Course · 1 - 3 Months

    • P

      Pontificia Universidad Católica de Chile

      Introducción a la programación en Python I: Aprendiendo a programar con Python

      Skills you'll gain: Python Programming, Data Structures, Computer Programming, Program Development, Application Development, Algorithms, File Management

      4.4
      Rating, 4.4 out of 5 stars
      ·
      4.8K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Databases and SQL for Data Science with Python

      Skills you'll gain: SQL, Databases, Stored Procedure, Relational Databases, Database Design, Query Languages, Database Management, Data Analysis, Jupyter, Data Manipulation, Pandas (Python Package), Transaction Processing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      22K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google

      Google IT Automation with Python

      Skills you'll gain: Git (Version Control System), GitHub, Version Control, Cloud Services, Debugging, Puppet (Configuration Management Tool), Infrastructure as Code (IaC), Bash (Scripting Language), Configuration Management, Professional Networking, CI/CD, Cloud Computing, Technical Communication, Docker (Software), Unit Testing, Containerization, Web Services, Interviewing Skills, Python Programming, Programming Principles

      4.7
      Rating, 4.7 out of 5 stars
      ·
      48K reviews

      Advanced · Professional Certificate · 3 - 6 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      M

      Microsoft

      Python Programming Fundamentals

      Skills you'll gain: Version Control, GitHub, Debugging, Git (Version Control System), Unit Testing, Data Structures, Python Programming, Software Testing, Programming Principles, Scripting, Computer Programming, Web Development, Algorithms, Program Development, Development Environment, Scripting Languages, Integrated Development Environments, Object Oriented Programming (OOP), Jupyter

      4.5
      Rating, 4.5 out of 5 stars
      ·
      185 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      R

      Rice University

      Introduction to Scripting in Python

      Skills you'll gain: Data Visualization Software, Plot (Graphics), Package and Software Management, Python Programming, Programming Principles, Data Processing, Data Mapping, Data Manipulation, Software Installation, Development Environment, Data Structures, File Management, Scripting, Data Storage, Data Import/Export, Program Development, Data Integration, Data Analysis, Computer Programming, Integrated Development Environments

      4.7
      Rating, 4.7 out of 5 stars
      ·
      4.3K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Machine Learning with Python

      Skills you'll gain: Supervised Learning, Feature Engineering, Jupyter, Unsupervised Learning, Scikit Learn (Machine Learning Library), Python Programming, Predictive Modeling, Machine Learning, Dimensionality Reduction, Classification And Regression Tree (CART), Matplotlib, NumPy, Regression Analysis, Statistical Modeling

      4.7
      Rating, 4.7 out of 5 stars
      ·
      17K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      Status: AI skills
      AI skills
      I

      IBM

      IBM Data Science

      Skills you'll gain: Dashboard, Data Visualization Software, Data Visualization, SQL, Predictive Modeling, Supervised Learning, Feature Engineering, Plotly, Interactive Data Visualization, Exploratory Data Analysis, Jupyter, Data Wrangling, Data Literacy, Data Analysis, Data Mining, Matplotlib, Unsupervised Learning, Generative AI, Pandas (Python Package), Professional Networking

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      143K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      Status: AI skills
      AI skills
      I

      IBM

      IBM Data Analyst

      Skills you'll gain: Data Storytelling, Dashboard, Data Visualization Software, Plotly, Data Visualization, SQL, Predictive Modeling, Generative AI, Interactive Data Visualization, Exploratory Data Analysis, Data Wrangling, Data Analysis, Big Data, Jupyter, Matplotlib, Statistical Analysis, Pandas (Python Package), IBM Cognos Analytics, Excel Formulas, Professional Networking

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      92K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      Infosec

      Python for Cybersecurity

      Skills you'll gain: MITRE ATT&CK Framework, Cyber Threat Hunting, Threat Detection, Threat Modeling, Cybersecurity, Network Security, System Monitoring, Cyber Operations, Continuous Monitoring, Cyber Threat Intelligence, Endpoint Security, Incident Response, Scripting, Network Monitoring, Command-Line Interface, Python Programming, Data Access, Authorization (Computing), IT Automation, Intrusion Detection and Prevention

      4.5
      Rating, 4.5 out of 5 stars
      ·
      503 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM AI Developer

      Skills you'll gain: Prompt Engineering, HTML and CSS, Software Development Life Cycle, Software Architecture, Large Language Modeling, Unit Testing, Generative AI, Artificial Intelligence, Software Design, ChatGPT, Jupyter, Scrum (Software Development), Software Engineering, Agile Methodology, Bootstrap (Front-End Framework), Web Design, Application Deployment, Automation, Interviewing Skills, Professional Networking

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      69K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • T

      The Hong Kong University of Science and Technology

      Python and Statistics for Financial Analysis

      Skills you'll gain: Statistical Inference, Statistical Methods, Pandas (Python Package), Probability & Statistics, Risk Analysis, Financial Trading, Financial Data, Data Manipulation, Statistical Analysis, Regression Analysis, Financial Analysis, Jupyter, Financial Modeling

      4.4
      Rating, 4.4 out of 5 stars
      ·
      4.5K reviews

      Intermediate · Course · 1 - 4 Weeks

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

    • Excel Basics for Data Analysis: IBM
    • Introducción a la programación en Python I: Aprendiendo a programar con Python: Pontificia Universidad Católica de Chile
    • Databases and SQL for Data Science with Python: IBM
    • Google IT Automation with Python: Google
    • Python Programming Fundamentals: Microsoft
    • Introduction to Scripting in Python: Rice University
    • Machine Learning with Python: IBM
    • IBM Data Science: IBM
    • IBM Data Analyst: IBM
    • Python for Cybersecurity: Infosec

    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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