COURSE CURRICULUM

The Data Management and Analytics Post-diploma Certificate program offers a comprehensive curriculum designed to build strong technical skills and practical knowledge in data analysis. In Term 1, students begin with courses such as Data Programming, where they learn essential coding skills for managing and manipulating data, and Designing Data Analysis Projects, focusing on planning and executing data-driven initiatives. Data Acquisition teaches techniques to gather and extract data from various sources, while Data Visualization I introduces methods for visually representing data to communicate insights effectively. Mathematics for Data Analytics provides the necessary mathematical foundation to support data analysis techniques. In Term 2, students advance their skills with Data Wrangling, focusing on cleaning and preparing data for analysis, and Building and Presenting Data Visualizations, which deepens their ability to create compelling visual stories from data. Data Analysis II builds on earlier courses by teaching advanced analytical methods, while Data Visualization II continues to enhance visualization expertise. The program culminates with a Capstone Project, where students apply their knowledge to real-world problems, integrating skills from previous courses to design and deliver a comprehensive data management and analytics solution. Throughout the program, learners gain experience with relational databases, visualization tools, and project design, preparing them to meet the demands of data-driven roles across industries. This practical, hands-on approach ensures graduates can contribute effectively to organizational decision-making by extracting, analyzing, and presenting complex data insights.