初级 Code 课程
初级编码课程可以帮助您学习编程基础、语法、Algorithm 和基本的问题解决技巧。您可以掌握编写 Cleaning 代码、Debugging 和理解 Data Structure 的技能。许多课程都会介绍一些工具，如用于版本控制的 Git、用于编码的集成开发环境 (IDE) 以及用于协作编码项目的平台。您还将学习 Python、JavaScript 或 HTML/CSS 等常用于网络开发和软件应用的语言。
热门初级 Code 课程和认证
您将获得的技能: Security Testing, Vulnerability Scanning, Secure Coding, Data Security, Application Security, Cyber Security Assessment, Vulnerability Assessments, Web Applications, Web Servers, Information Privacy, SQL
状态：预览您将获得的技能: Containerization, Docker (Software), Application Deployment, Amazon Elastic Compute Cloud, Amazon Web Services, Application Lifecycle Management, Amazon CloudWatch, Devops Tools, Microservices, Continuous Monitoring, System Monitoring, AWS Identity and Access Management (IAM), Scalability
状态：新状态：预览University of the Arts London
您将获得的技能: Prompt Engineering, Large Language Modeling, Generative AI, ChatGPT, OpenAI, Artificial Intelligence, Responsible AI, Natural Language Processing, Data Ethics, Recurrent Neural Networks (RNNs)
状态：免费您将获得的技能: Program Development, Integrated Development Environments, Code Review, Software Development, AI Enablement, Debugging, Web Development Tools, JavaScript Frameworks, Web Development, Artificial Intelligence, React.js, Context Management, Machine Learning
您将获得的技能: ChatGPT, Computer Programming Tools, Software Development Tools, Microsoft Copilot, Integrated Development Environments, Web Development Tools, Code Review, Application Programming Interface (API), React.js, Unit Testing, Jest (JavaScript Testing Framework), Node.JS, Debugging, Middleware
状态：免费试用您将获得的技能: jQuery, Javascript and jQuery, Event-Driven Programming, Web Development Tools, UI Components, HTML and CSS, Javascript, Web Applications, Data Validation, Animations
状态：新状态：免费试用您将获得的技能: Rmarkdown, Knitr, Exploratory Data Analysis, Dimensionality Reduction, Ggplot2, Plotly, Data Visualization, Data Visualization Software, Statistical Visualization, Data Storytelling, Statistical Analysis, Generative AI, R Programming, Correlation Analysis, Data Analysis, Tidyverse (R Package), Scatter Plots, Descriptive Statistics, Data Cleansing, Data Preprocessing
状态：免费试用Board Infinity
您将获得的技能: Apple iOS, Swift Programming, Apple Xcode, Mobile Development, User Interface (UI), User Interface (UI) Design, Debugging, Data Persistence, Data Management, Programming Principles, Application Programming Interface (API), Data Storage, Authentications
状态：预览您将获得的技能: Communication, Critical Thinking, Problem Solving, Interpersonal Communications, Computer Programming, Computer Science, Programming Principles, Planning, Algorithms, Data Structures, Stress Management, Adaptability
状态：新您将获得的技能: Pandas (Python Package), Web Scraping, Python Programming, Jupyter, Image Analysis, Data Manipulation, Computer Vision, Data Analysis, Natural Language Processing, Data Visualization Software, Matplotlib, Data Import/Export, Unstructured Data, Data Collection
状态：免费试用您将获得的技能: Android Development, Unity Engine, User Interface (UI), Video Game Development, Animation and Game Design, User Interface (UI) Design, Mobile Development, 3D Assets, Graphics Software, Application Deployment, C# (Programming Language)
状态：新状态：免费试用您将获得的技能: Exploratory Data Analysis, Data Storytelling, Dashboard, Data Presentation, Data Analysis, Data Literacy, No-Code Development, Data Science, Predictive Modeling, Data Ethics, Data Capture, Data Modeling, Data Processing, Data Transformation, Data Integrity, Data Cleansing, Applied Machine Learning, Data Governance, Data Collection, Data Integration
总之，以下是 10 最受欢迎的 beginner coding 课程
- Web Application Security Testing with Google Hacking: Packt
- Introduction to Amazon Elastic Container Service: Edureka
- Creative AI: Text and Transformations: University of the Arts London
- Code Faster with Tabnine: Optimise a NextJS Application: Coursera
- Introduction to AI Tools for Coders and Programmers: Packt
- Introduction to jQuery and Basic Concepts: Packt
- Exploratory Data Analysis and Visualization: Microsoft
- Mastering iOS Development: Swift, SwiftUI, and Beyond: Board Infinity
- Ace the Computer Science Interview: Strategies for Success: Coursera
- Skill Up with Python: Data Science and Machine Learning Recipes: Pearson
