Full-Stack Data Science

Course overview

A comprehensive, project-based Data Science programme designed to take learners from foundational data analysis to advanced data science workflows. Students work with industry-relevant tools including Microsoft Excel, SQL, Python, SPSS, Power BI and Tableau while developing practical skills in data cleaning, statistical analysis, exploratory data analysis, data visualisation, business intelligence and predictive analytics. Throughout the programme, learners work with real-world datasets and complete portfolio projects that demonstrate their ability to transform raw data into actionable insights.

Who it's for: Aspiring data scientists, data analysts, business intelligence professionals, graduates, researchers, business professionals and career changers who want comprehensive practical skills across the modern data analytics and data science ecosystem.

What you will learn

• Understand the complete data science and analytics lifecycle
• Collect, clean, transform and prepare real-world datasets
• Use Microsoft Excel for advanced data analysis and reporting
• Write SQL queries to extract and analyse data from relational databases
• Use Python for data cleaning, exploratory analysis and statistical computing
• Perform statistical analysis using SPSS
• Create interactive dashboards and reports with Power BI
• Build professional data visualisations using Tableau
• Perform exploratory data analysis and identify meaningful patterns
• Apply descriptive and inferential statistical techniques
• Perform correlation and regression analysis
• Communicate analytical findings through effective data storytelling
• Select the appropriate tool for different data analysis and business problems
• Combine multiple tools into an end-to-end data workflow
• Develop portfolio-ready data analytics and data science projects
• Present data-driven recommendations to technical and non-technical stakeholders

Curriculum

Prerequisites

• • Basic computer literacy
• • No previous data science experience required
• • Basic mathematics is recommended
• • Basic spreadsheet knowledge is helpful but not required