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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

    • C

      Coursera Project Network

      Using Porter’s Five Forces Model for Competitive Analysis

      Skills you'll gain: Competitive Analysis, Business Strategy, Strategic Thinking, Market Analysis, Market Dynamics, Market Opportunities, New Business Development, Supplier Management, Company, Product, and Service Knowledge, Consumer Behaviour

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      B

      Board Infinity

      Comprehensive Guide to Server-Side Logic and Development

      Skills you'll gain: Server Side, Restful API, API Design, Back-End Web Development, Node.JS, Databases, Database Management, Database Systems, MongoDB, Full-Stack Web Development, Application Programming Interface (API), Authentications, Web Applications, JavaScript Frameworks, Web Development, Authorization (Computing), NoSQL, Web Servers, Servers, Javascript

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Administration with Cloud Foundry: Scale a Web Application

      Skills you'll gain: Cloud Foundry, Cloud Applications, Cloud Platforms, Command-Line Interface, Platform As A Service (PaaS), User Accounts, Cloud Management, Scalability, Application Deployment, Web Design and Development, Network Troubleshooting

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      A

      American Psychological Association

      Measures of Correlation and Contingency

      Skills you'll gain: Regression Analysis, Correlation Analysis, Statistical Software, Statistical Analysis, Statistical Methods, Probability & Statistics, Quantitative Research, Data Analysis, Descriptive Statistics, Statistical Hypothesis Testing

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado System

      Planning, HUDs, and Spawners in GameMaker

      Skills you'll gain: Video Game Development, Game Design, Object Oriented Programming (OOP), Programming Principles, Scripting Languages, User Interface (UI), Animations, Debugging

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      A

      Amazon Web Services

      Amazon FSx for NetApp ONTAP Primer

      Skills you'll gain: Amazon Web Services, Cloud Storage, Data Storage, Amazon CloudWatch, Cloud Services, File Systems, Data Migration, Data Storage Technologies, System Monitoring, Security Controls

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      C

      Coursera Instructor Network

      GenAI for Risk Managers: Advanced Risk Analysis Techniques

      Skills you'll gain: Prompt Engineering, Risk Modeling, Risk Analysis, Continuous Monitoring, Generative AI, Project Risk Management, Risk Management Framework, Risk Management, Operational Risk, Data-Driven Decision-Making, Business Risk Management, Data Integration, Anomaly Detection, Artificial Intelligence, Threat Detection, Automation

      Advanced · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Eventarc for Cloud Run

      Skills you'll gain: Google Cloud Platform, Event Monitoring, Cloud-Based Integration, Cloud-Native Computing, Cloud API

      Beginner · Project · Less Than 2 Hours

    • Status: Free
      Free
      A

      Amazon Web Services

      Getting Started with Amazon RDS for MariaDB

      Skills you'll gain: Amazon Web Services, MySQL, Relational Databases, Database Management, Database Architecture and Administration, Command-Line Interface

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      C

      Coursera Instructor Network

      GenAI for Legal Ethics and Practicality

      Skills you'll gain: Data Ethics, Legal Strategy, Law, Regulation, and Compliance, Regulation and Legal Compliance, Legal Risk, Ethical Standards And Conduct, Compliance Management, Artificial Intelligence, Business Ethics, Innovation

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Employing Best Practices for Improving the Usability of LookML Projects

      Skills you'll gain: Looker (Software), Maintainability, Usability Testing, Exploratory Data Analysis, Data Dictionary, Data Literacy

      Intermediate · Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Advanced Methods in Machine Learning Applications

      Skills you'll gain: Unsupervised Learning, Applied Machine Learning, Dimensionality Reduction, Reinforcement Learning, Regression Analysis, Machine Learning, Data Mining, Machine Learning Algorithms, Statistical Machine Learning, Advanced Analytics, Predictive Modeling, Random Forest Algorithm, Decision Tree Learning, Supervised Learning

      Intermediate · Course · 1 - 3 Months

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

    • Using Porter’s Five Forces Model for Competitive Analysis : Coursera Project Network
    • Comprehensive Guide to Server-Side Logic and Development: Board Infinity
    • Administration with Cloud Foundry: Scale a Web Application: Coursera Project Network
    • Measures of Correlation and Contingency: American Psychological Association
    • Planning, HUDs, and Spawners in GameMaker: University of Colorado System
    • Amazon FSx for NetApp ONTAP Primer: Amazon Web Services
    • GenAI for Risk Managers: Advanced Risk Analysis Techniques: Coursera Instructor Network
    • Eventarc for Cloud Run: Google Cloud
    • Getting Started with Amazon RDS for MariaDB: Amazon Web Services
    • GenAI for Legal Ethics and Practicality: 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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