- Relational Database Management Syste (RDBMS)
- ETL & Data Pipelines
- NoSQL and Big Data
- Apache Spark
- SQL
- Data Science
- Database (DBMS)
- NoSQL
- Python Programming
- Data Analysis
- Pandas
- Numpy
IBM 数据工程 专业证书
Launch your new career in Data Engineering. Master SQL, RDBMS, ETL, Data Warehousing, NoSQL, Big Data and Spark with hands-on job-ready skills.
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您将学到的内容有
Create, design, and manage relational databases and apply database administration (DBA) concepts to RDBMSes such as MySQL, PostgreSQL, and IBM Db2.
Develop and execute SQL queries using SELECT, INSERT, UPDATE, DELETE statements, database functions, stored procedures, Nested Queries, and JOINs.
Demonstrate working knowledge of NoSQL & Big Data using MongoDB, Cassandra, Cloudant, Hadoop, Apache Spark, Spark SQL, Spark ML, Spark Streaming.
Implement ETL & Data Pipelines with Bash, Airflow & Kafka; architect, populate, deploy Data Warehouses; create BI reports & interactive dashboards.
您将获得的技能
关于此 专业证书
应用的学习项目
Throughout this Professional Certificate, you will complete hands-on labs and projects to help you gain practical experience with Python, SQL, Relational Databases, NoSQL Databases, Apache Spark, building a data pipeline, managing a database and working with data in a data warehouse.
In the final course in this Professional Certificate, you will complete a Capstone Project that applies what you have learned to a real-world inspired scenario that requires you to design, deploy and manage an end-to-end data engineering platform consisting of various Relational (Transactional Data Warehousing), NoSQL & Big Data repositories as well as data piplelines to connect them.
Basic computer skills and a grounding in IT systems. Comfort working in either Linux, Windows, or MacOS. No prior programming or data skills needed.
Basic computer skills and a grounding in IT systems. Comfort working in either Linux, Windows, or MacOS. No prior programming or data skills needed.
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 13 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.
Python for Data Science, AI & Development
Kickstart your learning of Python for data science, as well as programming in general, with this beginner-friendly introduction to Python. Python is one of the world’s most popular programming languages, and there has never been greater demand for professionals with the ability to apply Python fundamentals to drive business solutions across industries.
Python Project for Data Engineering
This mini-course is intended to apply foundational Python skills by implementing different techniques to collect and work with data. Assume the role of a Data Engineer and extract data from multiple file formats, transform it into specific datatypes, and then load it into a single source for analysis. Continue with the course and test your knowledge by implementing webscraping and extracting data with APIs all with the help of multiple hands-on labs. After completing this course you will have acquired the confidence to begin collecting large datasets from multiple sources and transform them into one primary source, or begin web scraping to gain valuable business insights all with the use of Python.
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.
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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。