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所在平台: Udemy |
课程主页: https://www.udemy.com/course/data-analytics-beginner-course/
课程评论：没有评论
课程名称：数据分析初学者课程 课程概述：欢迎参加数据分析初学者课程！本课程旨在为任何希望开始数据分析之旅的人提供基础知识，无需任何先前经验。课程分为六个讲座，您将学习数据分析的基本概念，包括关系数据库概念、数据建模、SQL基础和数据转换技术。 课程首先介绍数据分析，探讨其重要性及在各行业中的不同应用类型。接下来，您将深入了解关系数据库概念，学习数据在数据库中的存储和管理方式，包括数据仓库的基础知识。 之后，您将进入数据建模和数据库设计部分，获得规划和有效结构化数据以便进行分析的实战经验。在SQL基础部分，您将学习如何编写SQL查询，检索和过滤数据，掌握SELECT语句和WHERE子句等基本命令。最后，您将探讨数据转换技术，重点是清理和准备数据，以便进行准确的分析和报告。 本课程还包含实际案例研究和研讨会，通过现实场景强化您的学习。完成本课程后，您将拥有坚实的数据分析基础，使您能够做出数据驱动的决策，并为更高级的数据分析学习奠定基础。无论您是学生、专业人士还是对数据感兴趣的人，本课程将为您提供必要的技能，帮助您自信有效地开始接触数据。
Welcome to the Data Analytics Beginner course! This course is designed for anyone looking to start a journey in data analytics, with no prior experience required. Over the course of 6 lectures, you will learn the fundamentals of data analytics, including relational database concepts, data modeling, SQL basics, and data transformation techniques. We will start with an introduction to data analytics, exploring its importance and the various types used across industries.Next, you'll dive into relational database concepts, where you'll learn how data is stored and managed in databases, including an introduction to data warehouses. You'll then move on to data modeling and database design, where you'll gain hands-on experience in planning and structuring data effectively for analysis.In the SQL fundamentals section, you'll learn how to write SQL queries to retrieve and filter data, mastering essential commands like SELECT statements and WHERE clauses. Finally, you'll explore data transformation techniques, focusing on cleaning and preparing data for accurate analysis and reporting.The course also includes practical case studies and a workshop to reinforce your learning through real-world scenarios. By the end of this course, you'll have a solid foundation in data analytics, enabling you to make data-driven decisions and set the stage for more advanced analytics studies. Whether you're a student, professional, or just curious about data, this course will equip you with the essential skills needed to begin working with data confidently and effectively.
