(SCTP) Certificate in Data Analytics with Artificial Intelligence (Full-time) (TA-eligible)
About This Course
Data Analytics is paramount in organisation in drawing meaningful and actionable insights from raw data to drive smart decision making. This course is designed to empower learners to effectively perform data exploratory, data modelling, data transformation and machine learning techniques to analyze complex datasets and communicate actionable insights through data visualization to stakeholders. Learners will demonstrate proficiency in analysing text data using text analytics and generative AI techniques and delivering data products as part of the Captone delivery to support Data and AI initiatives in organisation.
What You'll Learn
Upon successful completion of this course, the participants will be able to:
1. Describe key emerging data analytics trends and its applications in industries.
2. Design Conceptual and Logical Data Models to support data-mart development.
3. Explore data of its structure and characteristics to improve data quality.
4. Develop data transformation program to prepare data for analysis.
5. Apply machine learning techniques to extract insights from data.
6. Develop Visualisation to communicate insights using analytical tools.
7. Deploy Data Product with Generative AI Models to support Data analytics initiatives.
List of Topics and Duration:
1. INTRODUCTION TO DATA ANALYTICS & MODELLING (8 hrs)
2. DATA VISUALISATION FOR INSIGHTS (16 hrs)
3. DATA TRANSFORMATION USING PROGRAMMING (16 hrs)
4. MACHINE LEARNING & TEXT ANALYTICS (24 hrs)
5. DATA PRODUCT FOR AI (16 hrs)
6. DATA PRODUCT I (VISUALISATION) CAPSTONE (200 hrs)
7. DATA PRODUCT II (AI/ML) CAPSTONE (200 hrs)
Instructional Methods:
1. Classroom Learning and Practicum
2. Asynchronous Learning with 1 year Udemy Learning Library
3. Capstone delivery via Agile Methodology with Daily Stand-up & reviews
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.