- Relational Database (RDBMS)
- Business Intelligence (BI)
- Enterprise Data Warehouse (EDW)
- SQL
- Extract Transform Load (ETL)
- Data Science
- Database (DBMS)
- NoSQL
- Database (DB) Design
- Database Architecture
- Postgresql
- MySQL
IBM 数据仓库工程师 专业证书
Kickstart your Career in BI Engineering. Develop job-ready skills for an entry level role in Data Warehousing.
提供方

您将学到的内容有
Compose and execute various types of SQL statements and queries to access and manipulate data in databases
Deploy, Manage, Secure, Operationalize, Monitor and Optimize relational database systems like MySQL, PostgreSQL, and DB2
Create Data Pipelines to extract, transform and load data repositories using shell scripts, and tools such as Apache Airflow & Kafka
Design and populate Data Warehouses and analyze their data with Business Intelligence (BI) tools like Cognos Analytics
您将获得的技能
关于此 专业证书
应用的学习项目
Each course includes numerous hands-on labs and a project to hone and apply the concepts and skills you learn. By the end of the program, you will have designed, implemented, configured, queried, and maintained numerous databases and created data pipelines using real-world tools and data repositories to build a portfolio of job-ready skills.
You will start by provisioning a database instance on Cloud. Next, you will design databases using Entity-Relationship Diagrams (ERD) and create database objects like tables and keys using MySQL, PostgreSQL and IBM Db2.
You will then become proficient with querying databases with SQL using SELECT, INSERT, UPDATE and DELETE statements, and learn to filter, sort & aggregate result sets. Next, you will become familiar with common Linux/Unix shell commands and use them to build Bash scripts.
You will create Data Pipelines for batch and streaming ETL jobs using Apache Airflow and Kafka. Finally, implement data warehouses & create BI dashboards.
This program is suitable for those with or without college degrees. No prior programming or data engineering background required.
This program is suitable for those with or without college degrees. No prior programming or data engineering background required.
专业证书是什么?
塑造技能,做好工作准备
无论您是想开始新的职业生涯,还是改变目前职业,Coursera 专业证书都能帮您为开始工作做好准备。选择最适合的时间和地点,自行安排学习进度。立即注册,探索新的职业道路,可免费试用 7 天。您可以随时暂停学习或结束订阅。
实践项目
将您的技能应用到实践项目,并丰富您的简历内容,进而向潜在雇主展示您已为开始工作做好准备。您需要成功完成项目以获得证书。
获得职业证书
当完后计划中的所有课程后,您将获得一张证书。您可以将其在专业网络上分享,并获得使用职业支持资源的权限,这能够为您开启职业生涯提供助力。许多招聘合作伙伴认可我们的许多专业证书,并且我们还有许多合作伙伴可以帮助您准备认证考试。您可以在适用的各个专业证书页面上找到更多信息。

此专业证书包含 7 门课程
Introduction to Data Engineering
This course introduces you to the core concepts, processes, and tools you need to know in order to get a foundational knowledge of data engineering. You will gain an understanding of the modern data ecosystem and the role Data Engineers, Data Scientists, and Data Analysts play in this ecosystem.
Introduction to Relational Databases (RDBMS)
Are you ready to dive into the world of data engineering? You’ll need a solid understanding of how data is stored, processed, and accessed. You’ll need to identify the different types of database that are appropriate for the kind of data you are working with and what processing the data requires.
Databases and SQL for Data Science with Python
Much of the world's data resides in databases. SQL (or Structured Query Language) is a powerful language which is used for communicating with and extracting data from databases. A working knowledge of databases and SQL is a must if you want to become a data scientist.
Hands-on Introduction to Linux Commands and Shell Scripting
This course provides a practical introduction to Linux and commonly used Linux / UNIX shell commands. It teaches you the basics of Bash shell scripting to automate a variety of tasks. The course includes both video-based lectures as well as hands-on labs to practice and apply what you learn. You will have no-charge access to a virtual Linux server that you can access through your web browser, so you don't need to download and install anything to perform the labs.
提供方

IBM
IBM is the global leader in business transformation through an open hybrid cloud platform and AI, serving clients in more than 170 countries around the world. Today 47 of the Fortune 50 Companies rely on the IBM Cloud to run their business, and IBM Watson enterprise AI is hard at work in more than 30,000 engagements. IBM is also one of the world’s most vital corporate research organizations, with 28 consecutive years of patent leadership. Above all, guided by principles for trust and transparency and support for a more inclusive society, IBM is committed to being a responsible technology innovator and a force for good in the world.
常见问题
退款政策是如何规定的?
我可以只注册一门课程吗?
此课程是 100% 在线学习吗?是否需要现场参加课程?
完成专项课程需要多长时间?
What background knowledge is necessary?
Do I need to take the courses in a specific order?
完成专项课程后我会获得大学学分吗?
What will I be able to do upon completing the Specialization?
还有其他问题吗?请访问 学生帮助中心。