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所在平台: Udemy |
课程主页: https://www.udemy.com/course/full-stack-data-science-with-genai/
课程评论：没有评论
课程名称：全栈数据科学与生成AI 概述：欢迎参加“全栈数据科学与生成AI - 通过项目学习”课程。这是唯一一个适合初学者的课程，可让您从零基础到具备数据科学和生成AI的就业能力，通过实际的、动手的项目来学习。无论您是完全初学者还是希望转行的人，本课程旨在使复杂主题变得简单而实用。我们专注于“做中学”——没有冗长的理论，也没有无用的内容。我们提供的都是逐步建立的真实技能。 课程独特之处： - 基于项目的学习：在学习过程中构建真实的数据科学和AI应用。 - 涵盖传统机器学习与现代生成AI：让您在当今就业市场中领先一步。 - 初学者友好：无需编程、数学或数据科学经验。 - 职业导向：包括简历技巧和获取首份数据工作指导。 您将学习到的内容： - 数据科学基础和工作流程 - 用于数据分析和机器学习的Python编程 - 数据科学的核心数学和统计概念 - 数据清洗、探索性数据分析（EDA）和特征工程 - 监督学习和无监督学习 - 真实项目，充实您的作品集 - 生成AI（GenAI）和代理AI概念 - 构建生成AI应用，如文本和图像生成器 - 简历构建和面试准备技巧，做好求职准备 课程模块： - 数据科学与生成AI介绍 - 数据科学的Python - 数据科学数学 - 数据收集与清洗 - 探索性数据分析与特征工程 - 有项目的监督学习 - 有项目的无监督学习 - 真实项目 - 生成AI与代理AI - 生成AI项目 - 简历构建 - 获得面试邀请的技巧 目标受众： - 绝对初学者 - 学生或专业人士希望学习数据科学 - 探索生成AI的技术爱好者 - 旨在转行进入数据/AI角色的人 - 喜欢通过真实项目进行动手学习的任何人 使用的工具与技术： - Python，Pandas，NumPy，Matplotlib，Scikit-learn - 生成AI工具（如OpenAI API，Hugging Face等） - Jupyter Notebook，Google Colab - 基本部署工具（可选） 通过本课程的学习，您不仅将理解完整的数据科学流程，还会构建和部署证明此能力的项目。让我们开始吧——立即注册，开启您的数据科学之旅！
Welcome to "Full Stack Data Science with GenAI - Learn by Building Projects" - the only beginner-friendly course that takes you from zero to job-ready in Data Science and Generative AI through real-world, hands-on projects.Whether you're a complete beginner or someone looking to switch careers, this course is designed to make complex topics simple and practical. We focus on "learning by doing" - no endless theory, no fluff. Just real skills, built step-by-step.What Makes This Course Unique?Project-Based Learning - Build real data science and AI applications as you learnCovers Both Traditional ML and Modern GenAI - Get ahead in today's job marketBeginner Friendly - No prior experience in programming, math, or data science neededCareer-Focused - Includes resume tips and guidance to land your first data jobWhat You'll LearnData science fundamentals and workflowsPython programming for data analysis and MLKey math and statistics concepts for data scienceData cleaning, EDA, and feature engineeringSupervised and unsupervised machine learningReal-world projects for your portfolioGenerative AI (GenAI) and Agentic AI conceptsBuilding GenAI applications like text and image generatorsResume building and interview tips to get job-readyCourse ModulesIntro to Data Science & GenAIPython for Data ScienceMath for Data ScienceData Collection & CleaningEDA & Feature EngineeringSupervised Learning (with Projects)Unsupervised Learning (with Projects)Real-World ProjectsGenAI & Agentic AIGenAI ProjectsResume BuildingTips to Get Interview CallsWho Is This Course For?Absolute beginnersStudents or professionals wanting to learn data scienceTech enthusiasts exploring GenAICareer switchers aiming for data/AI rolesAnyone who prefers hands-on learning with real projectsTools & Technologies UsedPython, Pandas, NumPy, Matplotlib, Scikit-learnGenAI tools (like OpenAI APIs, Hugging Face, or similar)Jupyter Notebooks, Google ColabBasic deployment tools (optional)By the end of this course, you'll not only understand the full data science pipeline - you'll have built and deployed projects that prove it.Let's get started - enroll now and begin your data science journey!
