|
所在平台: Udemy |
课程主页: https://www.udemy.com/course/complete-sql-for-data-analytics-and-business-intelligence/
课程评论：没有评论
课程名称：全面掌握SQL以进行数据分析和商业智能 课程概述： 解锁SQL的强大功能，通过“全面掌握SQL以进行数据分析和商业智能”课程！该课程适合各个学习水平的学员，从SQL基础知识到高级分析技术，内容全面。通过生动的视觉讲解、真实案例研究和实践练习，您将掌握SQL连接、子查询、分组、聚合、处理复杂数据类型、时间序列分析、探索性数据分析（EDA）、窗口函数等关键技能。准备好迎接梦想工作，借助由顶尖科技公司启发的面试材料以及便于快速复习的讲义，您将拥有在数据驱动角色中脱颖而出的工具和信心。 课程亮点： - 综合SQL学习：从基础到高级主题，全面掌握适用于数据分析和商业智能的SQL技能。 - 视觉学习：通过详细的讲解和直观的可视化，轻松理解概念。 - 面试准备：获取灵感来源于特斯拉、微软、亚马逊、优步、抖音等顶尖科技公司的真实面试问题的特别材料。 - 真实应用：通过电子商务和零售销售数据集的案例研究，将所学技能应用于实际场景。 - 高级分析技术：深入学习高级SQL概念，包括窗口函数和数据清理、探索性数据分析（EDA）等分析概念。 - 复杂数据类型：有效处理SQL查询中的日期、时间、数组和JSON数据类型。 - 时间序列分析：在专门模块中探索基于时间的趋势和模式，使用公共数据集进行实践。 - 综合学习材料：包含讲义以便快速复习和集中面试准备。 - 互动学习：通过多种练习、测验和挑战强化知识。 - 职业指导：提供数据分析师/数据科学家路线图及可行的职业建议，帮助您实现职业目标。 通过这个课程，您将全面提升SQL技能，为在数据驱动的职业中取得成功做好充分准备。
Unlock the power of SQL with this Complete SQL for Data Analytics and Business Intelligence course! Designed for learners of all levels, this course takes you from SQL fundamentals to advanced analytical techniques. Through engaging visual explanations, real-world case studies, and hands-on practice, you'll master essential skills like SQL Joins, Subqueries, Grouping, Aggregation, handling complex data types, Time Series Analysis, Exploratory Data Analysis (EDA), window functions and more. Prepare for your dream job with interview-focused material inspired by top tech companies and benefit from lecture notes for quick revision. With quizzes, exercises, and a clear Data Analyst roadmap, this course equips you with the tools and confidence to excel in data-driven roles.Key Highlights of the CourseComprehensive SQL Learning: Master SQL from the basics to advanced topics, tailored for data analytics and business intelligence.Visual Learning: Grasp concepts easily with detailed explanations supported by intuitive visualizations.Interview Preparation: Gain access to specially curated material inspired by real interview questions from top tech companies like Tesla, Microsoft, Amazon, Uber, TikTok and more.Real-World Applications: Work on 2 case studies using e-commerce and retail sales datasets to apply your skills to practical scenarios.Advanced Analytical Techniques: Dive deep into advanced SQL concepts, including window functions and other analytical concepts like data cleaning and Exploratory Data Analysis (EDA).Complex Data Types: Learn how to handle Date, Time, Array, and JSON data types effectively in SQL queries.Time Series Analysis: Explore time-based trends and patterns with public datasets in a dedicated module.Comprehensive Study Materials: Includes lecture notes for quick revision and focused interview preparation.Interactive Learning: Strengthen your knowledge with a variety of exercises, quizzes, and challenges.Career Guidance: Get a Data Analyst/Data Scientist roadmap and actionable career advice to help you land your dream role.
