15
School of Computer Science

Certificate in Data Science & Machine Learning Foundations

6 Months (24 Weeks)

“Build, evaluate and deploy machine learning models from scratch.”

Duration:
6 Months (24 Weeks)
Mode:
Classroom / Online / Hybrid

Overview

A hands-on, in-demand foundation in data science and machine learning — Python programming, statistics, data wrangling, model building and deployment. Learners work with real datasets throughout, building toward a capstone project with a deployed model and presentation.

Who it’s for

Aspiring data scientists, analysts and graduates seeking a strong, practical foundation in data science and ML.

What you’ll learn

  • Python programming with Pandas, NumPy and Git/GitHub
  • Statistics, hypothesis testing and data preprocessing
  • Supervised and unsupervised machine learning with Scikit-learn
  • Data visualisation and storytelling with Matplotlib/Seaborn
  • Model deployment using Streamlit, Flask and cloud basics

Your 6-month journey

Month 1: Python Programming & Data Foundations

you'll clean a real-world dataset with Pandas and submit a GitHub mini project.

Month 2: Data Visualization & Statistics

you'll build a Python visualization dashboard and run EDA on a live dataset.

Month 3: Inferential Statistics & Data Preprocessing

you'll run statistical tests in Python and build a complete data-preprocessing pipeline.

Month 4: Supervised Machine Learning

you'll build and tune classification and regression models with GridSearchCV.

Month 5: Unsupervised Learning & Advanced ML

you'll run a customer-segmentation clustering project and apply PCA to a multivariate dataset.

Month 6: Capstone Project, Deployment & Communication

you'll deploy a capstone model with Streamlit and present it live with a full GitHub repo.

Assessment & certification

Ongoing assessment

Quizzes, assignments, practical labs and case studies verify progress throughout the programme.

Capstone project

A portfolio-ready final project contributes 20–40% of the final grade, depending on the programme.

Attendance standard

A minimum 80% attendance across classes, practicals and Finishing School is required for certification eligibility.

Credential awarded

Certificate in Data Science & Machine Learning Foundations

On successful completion, learners receive the Certificate in Data Science & Machine Learning Foundations, issued by Globeon Accreditation & Assessment Body (GAAB) UK, along with completion of the Finishing School enrichment module.

Finishing School included

Communication, professional presence, interview preparation and global workplace readiness are built into the final month.

Explore Finishing School