DATA TRANSFORMATION USING PROGRAMMING (Part of SCTP Certificate in Data Analytics with AI) (Classroom Facilitated Learning)
About This Course
Data Processing is integral to the use of Machine Learning as the quality of data directly affects the ability of the model to learn. Through this learning unit, learners will develop competencies in performing Extract-Transform-Load (ETL) tasks from the various data source using programming to solve business problems. Learners will be competent in discovering underlying data relationships among data variables through programming.
What You'll Learn
> Apply data preprocessing techniques to impute data format, transform and cleanse the data using programming.
> Perform Extract-Transform-Load (ETL) tasks to process data from source to destination using programming to meet business needs.
> Discover underlying data relationships among data variables using programming.
This course is part of SCTP Data Analytics with AI
(1) The list of topics covered in this course:
> Data Engineering
> Data Transformation (EL/ETL/ELT)
> Big Data Analytics
> Programming
(2) Instructional Methods:
Instructor-led Classroom Learning
(3) Duration of Course:
16 hours
Entry Requirements
Applicants for the course should possess a diploma/degree from a local polytechnic/university or is a ITE graduate with minimum of 2 years working experience, preferably in a related field. Holders of other equivalent academic qualification from foreign institutions will be considered on a case-by-case basis.
Applicants who do not meet the entry requirements may be considered for admission to the course based on evidence of at least 5 years of relevant working experience or supporting evidence of competency readiness. Suitable applicants who are shortlisted may have to go through an interview and/or a proficiency test.