이 전문 분야 정보

최근 조회 25,335

Evaluate business needs, design a data warehouse, and integrate and visualize data using dashboards and visual analytics.

This Specialization covers data architecture skills that are increasingly critical across a broad range of technology fields. You’ll learn the basics of structured data modeling, gain practical SQL coding experience, and develop an in-depth understanding of data warehouse design and data manipulation. You’ll have the opportunity to work with large data sets in a data warehouse environment to create dashboards and Visual Analytics. You will use of MicroStrategy, a leading BI tool, OLAP (online analytical processing) and Visual Insights capabilities to create dashboards and Visual Analytics. In the final Capstone Project, you’ll apply your skills to build a small, basic data warehouse, populate it with data, and create dashboards and other visualizations to analyze and communicate the data to a broad audience.

학습자 경력 결과
50%
이 특화 과정을(를) 수료한 후 새로운 경력을 시작함
20%
급여 인상 또는 승진하기
공유 가능한 수료증
완료 시 수료증 획득
100% 온라인 강좌
지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.
유동적 일정
유연한 마감을 설정하고 유지 관리합니다.
고급 단계
완료하는 데 약 7개월 필요
매주 5시간 권장
영어
자막: 영어, 한국어, 중국어 (간체자), 베트남어
학습자 경력 결과
50%
이 특화 과정을(를) 수료한 후 새로운 경력을 시작함
20%
급여 인상 또는 승진하기
공유 가능한 수료증
완료 시 수료증 획득
100% 온라인 강좌
지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.
유동적 일정
유연한 마감을 설정하고 유지 관리합니다.
고급 단계
완료하는 데 약 7개월 필요
매주 5시간 권장
영어
자막: 영어, 한국어, 중국어 (간체자), 베트남어

이 전문 분야에는 5개의 강좌가 있습니다.

강좌1

강좌 1

Database Management Essentials

4.6
별점
2,036개의 평가
505개의 리뷰
강좌2

강좌 2

Data Warehouse Concepts, Design, and Data Integration

4.4
별점
846개의 평가
168개의 리뷰
강좌3

강좌 3

Relational Database Support for Data Warehouses

4.6
별점
549개의 평가
66개의 리뷰
강좌4

강좌 4

Business Intelligence Concepts, Tools, and Applications

4.4
별점
515개의 평가
94개의 리뷰

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자주 묻는 질문

  • If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.

  • Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate, or you can audit it to view the course materials for free. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.

  • Yes, Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project. Learn more.

  • When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. If you only want to read and view the course content, you can audit the course for free. If you cannot afford the fee, you can apply for financial aid.

  • This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.

  • This Specialization doesn't carry university credit, but some universities may choose to accept Specialization Certificates for credit. Check with your institution to learn more.

  • Time to completion can vary based on your schedule, but most learners are able to complete the Specialization in 5 months.

  • Each course in the Specialization is offered on a regular schedule, with sessions starting about once per month. If you don't complete a course on the first try, you can easily transfer to the next session, and your completed work and grades will carry over.

  • You should have some prior experience with software engineering and business intelligence. This Specialization is designed primarily for software engineering professionals seeking to enter the fields of data engineering, architecture, or big data analytics, but other experienced technical professionals are also welcome.

  • We recommend taking the courses in the order presented, as each subsequent course will build on material from previous courses.

  • Coursera courses and certificates don't carry university credit, though some universities may choose to accept Specialization Certificates for credit. Check with your institution to learn more.

  • You will be able to architect, build, and populate a data warehouse to meet real ­world business reporting needs.

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