(SCTP) Certificate in Data Analytics with Artificial Intelligence (Full-time) (TA-eligible)
About this course
Course objectives
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.
Course description
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 a data product as part of the Capstone delivery to support Data and AI initiatives in organisation.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 Practicum2. Asynchronous Learning with 1 year Udemy Learning Library3. Capstone delivery via Agile Methodology with Daily Stand-up & reviews