DATA SCIENCE
Learn Data Science and Build Intelligent Data Models
Discover how data scientists transform raw data into predictive insights.
Course Overview
An advanced programme covering statistical modelling, machine learning algorithms, and real-world applications of data science across industries including finance, healthcare, and technology.
What You Will Learn
Build and deploy machine learning models
Apply statistical analysis to real problems
Work with large, complex datasets
Present findings to technical audiences
Learning Modules
Module 1: Python for Data Science
Core Python skills for data work.
- NumPy & pandas
- Data wrangling
- Jupyter notebooks
- Data pipelines
Module 2: Statistical Foundations
Probability and statistics for machine learning.
- Probability theory
- Hypothesis testing
- Regression basics
- Bayesian thinking
Module 3: Machine Learning
Build and evaluate predictive models.
- Supervised learning
- Unsupervised learning
- Model evaluation
- Feature engineering
Module 4: Capstone Project
Apply your skills on a real dataset.
- Project scoping
- End-to-end pipeline
- Model deployment
- Presentation
Tools you will use
Python (scikit-learn, NumPy)Jupyter NotebookMatplotlib / Seaborn
Skills You Will Gain
Statistical thinking- Model evaluation
- Python programming
- Research methods
Career Opportunities
Taking this course can lead to careers in various industries, including healthcare, business, and technology.
