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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

    • P

      Packt

      Deep Learning: Convolutional Neural Networks with TensorFlow

      Skills you'll gain: Keras (Neural Network Library), Tensorflow, Deep Learning, Image Analysis, Artificial Neural Networks, Computer Vision, Natural Language Processing, Text Mining, Data Processing, Performance Tuning

      Intermediate · Course · 1 - 4 Weeks

    • P

      Packt

      Learn Unity Game Development - Build Six Games with Unity

      Skills you'll gain: Unity Engine, User Interface (UI), Game Design, C# (Programming Language), Android Development, Video Game Development, Application Deployment, Scripting, Software Installation, Development Environment, Animations

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      F

      Fractal Analytics

      How to Build a Diffusion Model - An Introduction

      Skills you'll gain: Generative AI, Deep Learning, PyTorch (Machine Learning Library), Machine Learning Methods, Tensorflow, Image Analysis, Software Architecture, Artificial Neural Networks, Natural Language Processing, Performance Tuning

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      W

      Whizlabs

      Exam Prep SC-200: Microsoft Security Operations Analyst

      Skills you'll gain: MITRE ATT&CK Framework, Endpoint Security, Cyber Threat Hunting, Cyber Threat Intelligence, Endpoint Detection and Response, Cloud Security, Threat Detection, Cyber Operations, Threat Management, Microsoft Copilot, Malware Protection, Security Information and Event Management (SIEM), Microsoft Azure, Vulnerability Management, Cloud Computing, Incident Response, Computer Security Incident Management, Azure Active Directory, Hybrid Cloud Computing, Incident Management

      Intermediate · Course · 1 - 3 Months

    • C

      Coursera Instructor Network

      Code Generation with Amazon Q

      Skills you'll gain: Amazon Web Services, Integrated Development Environments, Software Development Tools, Software Development, Development Environment, Program Development, Artificial Intelligence, Generative AI, Debugging

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      C

      Coursera Project Network

      Créer une page de collecte de fonds sur Chuffed

      Skills you'll gain: Fundraising, Goal Setting, Drive Engagement, Content Creation

      Beginner · Guided Project · Less Than 2 Hours

    • Status: New
      New
      T

      The Hong Kong University of Science and Technology

      Learning Server-side Programming through Game Development

      Skills you'll gain: Server Side, Restful API, Ajax, Node.JS, Full-Stack Web Development, Web Applications, Web Servers, Web Development, Model View Controller, Javascript, PHP (Scripting Language), Application Programming Interface (API), Authentications, JSON, Hypertext Markup Language (HTML), Software Architecture, Real Time Data

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      G

      Goldman Sachs

      Les bases de la gestion des clients et des concurrents avec Goldman Sachs 10,000 Women  

      Skills you'll gain: Competitive Analysis, Value Propositions, Business Marketing, Target Market, Business Strategy, Market Research, Price Negotiation, Customer Insights, Market Analysis

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      Dartmouth College

      The American Renaissance and Mark Twain

      Skills you'll gain: Social Studies, Culture, Cultural Diversity, World History, European History, Research, Storytelling, Liberal Arts

      Mixed · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Automate R scripts with GitHub Actions: Deploy a model

      Skills you'll gain: R Programming, Google Sheets, Applied Machine Learning, Health Informatics, Predictive Modeling, Automation, Data Manipulation, GitHub, Gmail, Command-Line Interface, Version Control

      Intermediate · Guided Project · Less Than 2 Hours

    • N

      Northwestern University

      현대 로봇공학, 강좌 2: 로봇 기구학

      Skills you'll gain: Mechanics, Torque (Physics), Mathematical Modeling, Engineering Analysis, Engineering Calculations, Mechanical Engineering, Numerical Analysis, Applied Mathematics, Trigonometry, Control Systems, Linear Algebra, Spatial Analysis

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      L

      LearnKartS

      Deployment

      Skills you'll gain: Application Deployment, Salesforce Development, Salesforce, Continuous Deployment, Release Management, Change Management, Configuration Management, Report Writing, Dashboard, Data Management, Business Process Automation

      Intermediate · Course · 1 - 4 Weeks

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

    • Deep Learning: Convolutional Neural Networks with TensorFlow: Packt
    • Learn Unity Game Development - Build Six Games with Unity: Packt
    • How to Build a Diffusion Model - An Introduction: Fractal Analytics
    • Exam Prep SC-200: Microsoft Security Operations Analyst: Whizlabs
    • Code Generation with Amazon Q: Coursera Instructor Network
    • Créer une page de collecte de fonds sur Chuffed : Coursera Project Network
    • Learning Server-side Programming through Game Development: The Hong Kong University of Science and Technology
    • Les bases de la gestion des clients et des concurrents avec Goldman Sachs 10,000 Women  : Goldman Sachs
    • The American Renaissance and Mark Twain: Dartmouth College
    • Automate R scripts with GitHub Actions: Deploy a model: Coursera Project 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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