In this course you will apply a variety of data engineering skills and techniques you have learned as part of the previous courses in the IBM Data Engineering Professional Certificate. You will assume the role of a Junior Data Engineer who has recently joined the organization and be presented with a real-world use case that requires a data engineering solution.
This course is part of the IBM Data Engineering Professional Certificate
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About this Course
Computer and IT literacy.
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessWhat you will learn
Demonstrate proficiency in skills required for an entry-level data engineering role.
Design and implement various concepts and components in the data engineering lifecycle such as data repositories.
Showcase working knowledge with relational databases, NoSQL data stores, big data engines, data warehouses, and data pipelines.
Apply skills in Linux shell scripting, SQL, and Python programming languages to Data Engineering problems.
Skills you will gain
- Relational Databases
- Python Programming
- NoSQL
- Data Pipelines
- SQL
Computer and IT literacy.
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessOffered by
Syllabus - What you will learn from this course
Data Platform Architecture and OLTP Database
Querying Data in NoSQL Databases
Build a Data Warehouse
Data Analytics
Reviews
- 5 stars82.60%
- 4 stars8.69%
- 3 stars2.17%
- 1 star6.52%
TOP REVIEWS FROM DATA ENGINEERING CAPSTONE PROJECT
I enjoyed having to go back and revise the other courses in the specialization. I had forgotten how interesting they were.
About the IBM Data Engineering Professional Certificate

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