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所在平台: Coursera专项课程 |
课程主页: https://www.coursera.org/specializations/data-design-operational-business-intellegence
课程评论：没有评论
课程名称：数据库设计与运营商业智能 课程概述：该课程旨在深入理解数据仓库设计与数据操作，描述商业智能（BI）的定义及其功能。学员将获得SQL编码、数据挖掘模型和数据可视化的实践经验。同时，学员将创建一个从概念设计到逻辑设计再到物理设计的实体关系图（ERD）。 课程将帮助您掌握的技能包括： - 数据库设计 - SAS语言 - 数据仓库 - 数据可视化 - 商业智能 - SQL概述 - 统计分析 - 关系数据库 - 基本描述性统计 - 数据挖掘中的聚类和关联 - 数据聚类算法 - 多维建模 专业介绍：该专门化旨在提供商业智能及其相关技术的全面视角，包括关系数据库、数据仓库、描述性统计、数据挖掘与视觉分析。通过一系列课程，学员将探讨关系数据库设计、通过提取/转换/加载（ETL）进行数据操作、通过数据分析获取实际见解、数据驱动决策支持和数据可视化，并获得实际的商业智能工具操作经验。 应用学习项目：每个模块结束时，学员将参与真实的评估以巩固所学的概念和技能。专门化结束时，学员将运用新技能将商业数据转换为互动的可视化分析仪表板。 课程特点： - 适合初学者：无需商业智能或数据库经验，但建议具备至少一种编程语言的基础。 - 整个课程为在线学习，学员可自行安排学习时间。 - 完成课程可获得可分享的证书。 - 预计学习时间为3个月，建议每周学习2小时。 更多信息可以访问课程链接。
Course Link: https://www.coursera.org/learn/nature-of-data-relational-database-design
Name:The Nature of Data and Relational Database Design
Description:Offered by University of California, Irvine. This course provides a comprehensive overview of data, various data types, design of databases ... Enroll for free.
Course Link: https://www.coursera.org/learn/data-warehousing-business-intelligence
Name:Data Warehousing and Business Intelligence
Description:Offered by University of California, Irvine. This course builds on “The Nature of Data and Relational Database Design” to extend the process ... Enroll for free.
Course Link: https://www.coursera.org/learn/business-intelligence-visual-analytics
Name:Business Intelligence and Visual Analytics
Description:Offered by University of California, Irvine. Building on “Data Warehousing and Business Intelligence,” this course focuses on data ... Enroll for free.
What you will learn
Develop an in-depth understanding of data warehouse design and data manipulation
Describe what business intelligence (BI) is and what it does
Gain hands-on experience in SQL coding, data mining models, and data visualization
Create an ERD that shows progression from conceptual to logical to physical design
Skills you will gain
Database (DB) Design
SAS Language
Data Warehousing
Data Visualization (DataViz)
Business Intelligence
SQL Overview
Statistical Analysis
Relational Database
Basic Descriptive Statistics
Data Mining for Clustering and Association
Data Clustering Algorithms
Multidimensional Modeling
About this Specialization
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The goal of this specialization is to provide a comprehensive and holistic view of business intelligence and its enabling technologies, including relational databases, data warehousing, descriptive statistics, data mining, and visual analytics. Through this series of courses, you will explore relational database design, data manipulation through Extract/Transform/Load (ETL), gaining actionable insight through data analytics, data-based decision support, data visualization, and practical, hands-on experience with real-world business intelligence tools.
Applied Learning Project
Each module, students will participate in an authentic assessment of that module's concepts and skills. At the end of the specialization, students will apply their new skills by converting business data into an interactive visual analytics dashboard.
Shareable Certificate
Shareable Certificate
Earn a Certificate upon completion
100% online courses
100% online courses
Start instantly and learn at your own schedule.
Flexible Schedule
Flexible Schedule
Set and maintain flexible deadlines.
Beginner Level
Beginner Level
No experience in BI or database needed. Experience with at least one programming language is recommended.
Hours to complete
Approximately 3 months to complete
Suggested pace of 2 hours/week
Available languages
English
Subtitles: English
Shareable Certificate
Shareable Certificate
Earn a Certificate upon completion
100% online courses
100% online courses
Start instantly and learn at your own schedule.
Flexible Schedule
Flexible Schedule
Set and maintain flexible deadlines.
Beginner Level
Beginner Level
No experience in BI or database needed. Experience with at least one programming language is recommended.
Hours to complete
Approximately 3 months to complete
Suggested pace of 2 hours/week
Available languages
English
Subtitles: English
