Data Science and Analytics
Overview
Job Growth
N/A
Duration
N/A
Avg. Salary
N/A
Career Paths
N/A
Program Description
Data Science and Analytics teaches you how to collect, clean, analyse, and visualise data to solve real problems. You will study mathematics, statistics, programming, databases, and data visualisation, plus project-based work that builds practical skills. The program prepares you for roles such as Data Analyst, Data Scientist, Business Intelligence assistant, Software Engineer, or IT Support Specialist, and supports work in engineering fields like civil, electrical, and mechanical systems where data guides design and maintenance. This pathway builds strong problem-solving, programming, and technical communication skills, opening doors to internships, industry projects, and further study. If you enjoy maths, computers, and solving real-world problems, this program can launch a high-demand career in Ghana and beyond.
Aims & Objectives
Develop the ability to collect, clean, and prepare real datasets using tools such as Python or Excel, demonstrated by completed projects.
Master basic programming for data analysis in Python or R, shown by writing scripts that analyse and visualise datasets.
Understand and apply core statistical methods and simple predictive models, measured by building and evaluating at least two models.
Create clear data visualisations and technical reports that communicate findings to non-technical audiences, assessed through presentations.
Why Choose This Program?
Strong job demand
Data skills are in high demand across Ghanaian industries, including banks, telecoms, engineering firms, and government, improving your employability.
Hands-on, practical learning
Coursework focuses on projects, case studies, and real datasets, so you build a portfolio that employers value.
Cross-industry application
Analytics tools support engineering design, infrastructure monitoring, automation, and business decision-making, so skills transfer widely.
Pathway to further study and internships
Completing this program opens opportunities for university degrees, professional certificates, and industry internships.
Skills & Tools
Skills You'll Develop
Use Python or R, with libraries such as Pandas and NumPy, to load, clean, and transform data for analysis.
Query and manage structured data using SQL, apply basic database design, and extract data for reporting.
Create charts and dashboards using tools like Matplotlib, Power BI, or Tableau to present insights clearly.
Apply core statistical tests and simple machine learning models, such as regression and classification, to make predictions.
Tools & Resources
Python with Anaconda and Jupyter Notebook
R and RStudio
SQL tools such as MySQL or SQLite
Data visualisation tools like Power BI or Tableau
Challenges & Tips
Challenges
Weak foundation in mathematics or statistics
Balancing theory and practice
Tips & Advice
Review core topics like algebra and descriptive statistics, use short online modules, and practise with examples weekly.
Pair each theory lesson with a small hands-on exercise or project to apply concepts immediately.
Video Guide
Frequently Asked Questions
Ready to Apply?
Find programs that match your grades and interests — even if you haven't written WASSCE yet