(SCTP Module) Relational Database Management Systems
About This Course
By the end of this course, participants can expect to:
a. Understand the types of data and databases
b. Appreciate the use of data dictionary and harness the potential metadata for data science
c. Acquire organizational dataset from data lakes and other democratized data sources for data enrichment purposes
d. Create a Relational Database Management Systems (RDBMS) to support Data Science pipeline
e. Familiar with common Relational Database Management Systems (RDBMS) tools for Extract, Transform, and Load (ETL) process
g. Deconstruct complex relational tables
h. Leverage on Relational Database Management Systems (RDBMS) to support big structural data preparation works for Data Science
What You'll Learn
Entry Requirements
a. Participants should preferably have passed mathematics at least ‘O’ Level or equivalent.
b. Participants should be conversant with basic IT skills such as software installation, file.
c. Management and web navigation.
d. Participants are encouraged to complete the Foundation of Data Science before enrolling in this course.
e. Participants are required to bring their laptops.