DATA TRANSFORMATION USING PROGRAMMING (Part of SCTP Certificate in Data Analytics with AI) (Classroom Facilitated Learning)
About this course
Course objectives
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.
Course description
At the end of the course, learners will be able to: 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