Data Foundations and Visualisation

Training Provider: Singapore University of Social Sciences
Course Reference: TGS-2026063965
S$2,640

About This Course

1. Assess modern data architectures including cloud data warehouses and lakehouses to manage AIoT data ecosystems effectively.
2. Evaluate big data frameworks such as Hadoop and Spark to build efficient data processing pipelines.
3. Develop scalable data warehouses and ETL processes to support comprehensive data integration.
4. Design relational databases applying normalisation techniques to enhance data integrity and efficiency.
5. Construct advanced SQL queries to extract, transform, and analyse complex datasets for informed decision-making.
6. Create sophisticated and interactive visualisations and dashboards using Python libraries and Tableau to communicate insights effectively.

What You'll Learn

This course covers key concepts in data management, including relational databases, SQL, and data warehousing. Students will develop practical skills in data visualisation using Python and Tableau to create interactive dashboards and stories. The course also addresses big data technologies like Hadoop, Spark, and modern cloud data platforms, preparing students to manage and analyse large-scale data in AIoT contexts

Course Details

Duration 30 hours
Language English
Training Commitment Part Time
Total Enrolled New course
Back to All Courses
Note: To apply for this course, visit or contact the training provider directly.

More Courses from Singapore University of Social Sciences

This 'Person-of-the-Therapist' (POTT) training model is designed for practicing counsellors, psychol...
Duration 31 hours
Fee After Subsidy S$450
Singapore has a growing and vibrant electronics industry that generated more than $131 billion of ou...
Duration 60.5 hours
Fee After Subsidy S$2,237
The (SCTP) Certificate in Facilities Management is a 6-month, practice-oriented programme designed t...
Duration 104 hours
Fee After Subsidy S$3,564