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所在平台: Udemy |
课程主页: https://www.udemy.com/course/complete-guide-to-generative-ai-for-data-analysis-science/
课程评论：没有评论
**课程名称：** 数据科学与人工智能数据分析全指南 **课程概述：** 本课程旨在教授学员如何在生成式人工智能重塑数据分析和数据科学的未来之际，抓住机遇，更快速、更有效地提取数据洞察并做出数据驱动的决策。通过系统学习，学员将掌握在这一快速发展领域取得成功所需的基础知识和实践技能。 讲师 Dan Sullivan 将带领学员全面学习数据科学基础原理与前沿生成式人工智能技术。课程将教会学员如何有条理地处理复杂的商业和数据问题，将其分解为可通过编程解决的可行任务。 该项目围绕数据分析与数据科学成功的三个关键支柱展开： 1. **强大的问题解决能力：** 培养批判性思维能力，运用结构化方法解决现实世界中的数据挑战。 2. **深入的统计学与机器学习知识：** 掌握关键概念，包括数据类型、描述性与推断性统计、相关性、回归、监督与无监督学习、聚类、神经网络、深度学习、异常检测和时间序列分析。 3. **动手的数据管理专业技能：** 获得处理数据文件和数据库的实践经验，提升数据质量、清理、元数据管理，并理解完整的数据生命周期。 通过将生成式人工智能与传统数据科学工作流程相结合，学员将学会自动化分析、增强数据驱动决策并构建复杂的预测模型。本课程兼顾理论与实践，结合真实世界的案例和 Python、SQL 编码练习，帮助学员自信地将所学技能应用于专业环境。 加入这场变革性的学习之旅，成为一名能够利用生成式人工智能创造有影响力的数据解决方案的优秀数据分析师或数据科学家。
Generative AI is reshaping the future of data analysis and data science, creating unprecedented opportunities to extract insights and make data-driven decisions faster and more efficiently. This course is designed to equip you with the essential knowledge and practical skills needed to thrive in this rapidly evolving field.Instructor Dan Sullivan guides you through a comprehensive curriculum that combines foundational data science principles with cutting-edge generative AI techniques. You will learn to approach complex business and data questions methodically, breaking them down into actionable tasks that can be solved programmatically.This program centers around three critical pillars for success in data analysis and data science:Robust problem-solving skills: Develop the ability to think critically and solve real-world data challenges with structured approaches.In-depth statistical and machine learning knowledge: Master key concepts including data types, descriptive and inferential statistics, correlation, regression, supervised and unsupervised learning, clustering, neural networks, deep learning, anomaly detection, and time series analysis.Hands-on data management expertise: Gain practical experience working with data files and databases, improving data quality, cleaning, metadata management, and overseeing the full data lifecycle.By integrating generative AI with traditional data science workflows, you will learn how to automate analysis, enhance data-driven decisions, and build sophisticated predictive models. This course balances theory and practice with real-world examples and coding exercises in Python and SQL, preparing you to apply your skills confidently in professional environments.Join this transformative learning journey to become a highly skilled data analyst or data scientist capable of harnessing the power of generative AI for impactful data solutions.
