DATA ENGINEERING
CERTIFICATE
As companies embrace a data driven culture, they will need someone to build the foundation for using that data. The architect of such a foundation is led by Data Engineers. A Data Engineer leads the way with developing the structure of the company’s data. Over time, as data technology advances, these engineers help lead mission critical elements that help companies succeed in a data driven world.
Engineering the data landscape is a challenging but rewarding career. As the data use grows at any organization the foundation to all data driven decisions needs to be addressed. Data Engineers are the architects for the future success of any company.
CERTIFICATION REQUIREMENTS
Complete BOTH of the following:
Data Manipulation and Management (SQL 101)
3 hour sessions, two days/week for 4 weeks
This class teaches a student how to store and transform data specifically to be used in modeling. Students will learn database design, SQL queries, different schemas, data cleaning techniques, and data appending. The class also will introduce a tool called Dataiku, a data platforming tool used for easier data engineering and visual/drag and drop data science. This module, taken individually, does not earn a student a certificate.
AND
Data Engineering (DBA 101)
3 hour sessions, two days/week for 4 weeks
Data Engineering is quickly becoming a highly sought skill. A Data Scientist’s best friend, a Data Engineer not only designs and manages the data sources Data Scientists use to run their algorithms, but they also extract, transform, and load the data; manage the APIs; and are usually in charge of the data and data science toolsets. This class teaches those skills as well as how to manage data flows and work with the data team to sustain modeling in the enterprise. Note: This module, taken individually, does not earn a student a certificate.
AND
API & Cloud Database (Data 202)
3 hour sessions, two days/week for 4 weeks
Cloud Infrastructure and API Integration for Data Science focuses on leveraging the power of cloud platforms for scalable data science applications. It also covers the importance of APIs for data retrieval, sharing, and integration. Students will understand how to build, deploy, and manage data science pipelines in cloud environments. This module, taken individually, does not earn a student a certificate.
Total Time/Cost to complete certification: 12 weeks/$5,850
what does a Data Engineer do?
A DATA ENGINEER creates and manages databases for an organization. This involves designing, building, and configuring the database. This also involves monitoring security, setup and maintaining software, and products related to data movement and usage, as well as being the administer of usage rights to the database.
COMMON TASKS OF A DATA ENGINEER:
- Database install, patching, high-availability & disaster recovery design
- Interaction with network & system administrators
- Understand & install physical schema designs for a given database
- Debugging & optimization
- Extract, transform, and load data