Business Intelligence & Data Migration

University of Washington Professional and Continuing Education ETPL
We’ll explore the entire life cycle of database development for both on-premise and cloud operations, including defining business requirements, creating and automating the data pipeline, and building operational reports. You’ll understand how to develop and manage data integrations across various types of databases — relational and non-relational and on-premise and in the cloud. You’ll master the ETL (extract, transform, load) process of migrating data from one data structure to another. Finally, you’ll learn to use the assistance of AI tools to build dashboards and reports to monitor and fine-tune your data integration processes and track performance metrics.

Financial information

Total tuition

$4,494.00

Total required fees

$0.00

Books and supplies

$0.00

Locations

Online

Instructional methods

Online, E-learning, or Distance Learning

Is this program offered on evenings and weekends?

Yes

Program details

8 Months

Length of training

Certificate

Award type

N/A

Credits

N/A

Clock Hours

Additional details

Award name

Certificate

Education Prerequisites

No Selection

Prerequisite courses and other requirements

Is this program approved to train veterans?

Yes

Program languages

English

Certification/license obtained as part of training program

Certification/license test preparation provided

Employment performance results

Program type

Data Modeling/Warehousing and Database Administration

Completion rate

73%

Employment rate

91%

Typical (median) hourly earnings

$58.41

Typical (median) annual earnings

$122,609.00

Top industries for graduates

Program type

Data Modeling/Warehousing and Database Administration

Other Industries

40%

Professional, Scientific, Technical Services

30%

Management of Companies

15%

Healthcare and Social Services

15%

Student characteristics

Enrollment
Number of students completing the program
58
Completion rate
73%
Average number of students who completed each year
29
Gender
Male
54%
Female
46%
Race
American Indian or Alaska Native
0%
Asian
21%
Black or African American
7%
Hispanic
14%
Native Hawaiian or Other Pacific Islander
0%
White
57%
Multi-racial
0%
Other
0%
Age
Under 20
1%
20 to 29
20%
30 to 39
40%
40 to 49
25%
50 and over
14%
Prior education
No high school diploma/GED
0%
High school diploma/GED, but no college experience
0%
Some college experience, but no degree
0%
Certificate or AA
0%
BA or higher
0%