The DP-600 certification course is designed for data professionals, analysts, and developers who want to master Microsoft Fabric for implementing robust analytics solutions. This course covers key concepts such as data ingestion, transformation, modeling, and visualization, enabling learners to design and deploy scalable end-to-end analytics solutions within the Microsoft ecosystem.
Exam Prep DP-600: Microsoft Fabric Analytics Engineer
即将结束： 只需 199 美元（原价 399 美元）即可通过 Coursera Plus 学习新技能。立即节省
您将获得的技能
- Data Transformation
- Data Governance
- Data Management
- Analytics
- Data Architecture
- Data Import/Export
- Data Lakes
- Real Time Data
- Data Mart
- Data Pipelines
- Power BI
- Extract, Transform, Load
- Microsoft Azure
- Microsoft SQL Servers
- Data Integration
- Data Analysis Expressions (DAX)
- Data Warehousing
- Data Analysis
- Azure Synapse Analytics
- Data Modeling
要了解的详细信息
可分享的证书
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作业
10 项作业
授课语言：英语（English）
了解顶级公司的员工如何掌握热门技能
该课程共有3个模块
Welcome to Week 1 of the Exam Prep DP-600: Microsoft Fabric Analytics Engineer Associate course. In this week, you will understand the core concepts and terminology of data analytics, how to design a robust and scalable data analytics environment, and Build and administer a functional data analytics environment. By the end of this week, you will be able to understand how to effectively manage the lifecycle of data analytics solutions.
涵盖的内容
17个视频3篇阅读材料3个作业1个讨论话题
Welcome to Week 2 of the Exam Prep DP-600: Microsoft Fabric Analytics Engineer Associate course. This week, you will understand how to develop and manage tables, views, and other database objects within a Lakehouse or Warehouse and build and manage data pipelines in Fabric for efficient data movement and transformation. By the end of this week, you will be able to understand how to prepare and transform Lakehouse data using Spark, Data Factory, or SQL for analysis.
涵盖的内容
17个视频1篇阅读材料3个作业
Welcome to Week 3 of the Exam Prep DP-600: Microsoft Fabric Analytics Engineer Associate course. This week, you will understand how to develop and implement robust semantic models that meet business requirements, Optimize semantic models for performance, scalability, and maintainability in enterprise environments, and analyze data using appropriate tools, and techniques to derive insights. By the end of this week, you will get a conclusion of how to summarize key concepts and apply learned skills to real-world data analytics scenarios.
涵盖的内容
19个视频2篇阅读材料4个作业
位教师
授课教师评分
4.3 (5个评价)
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To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
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