Qualifi Level 7 Diploma in Data Science

About this programme

The Qualifi Level 7 Diploma in Data Science is designed for students and professionals who want to develop advanced knowledge and practical skills in data science, analytics, and machine learning. This programme helps learners understand exploratory data analysis, statistical inference, predictive modelling, time series analysis, unsupervised learning, machine learning, and data management. Students will also develop practical skills in R, Python, SQL, data cleaning, data structuring, and data visualisation. This qualification is suitable for learners who wish to progress to higher studies or develop careers in data science, data analytics, business intelligence, machine learning, artificial intelligence, database management, or technology-related roles. Units • Exploratory Data Analysis • Statistical Inference • Fundamentals of Predictive Modelling • Advanced Predictive Modelling • Time Series Analysis • Unsupervised Multivariate Methods • Machine Learning

What you will learn

• Gain mathematical and statistical knowledge required for basic and advanced data analysis. • Develop skills in R, Python, and SQL programming for advanced data analysis. • Understand data management, including data evaluation, structuring, and cleaning. • Use tools and techniques for data visualisation. • Develop knowledge of classical data analytics. • Understand statistical inference, predictive modelling, time series analysis, and data reduction. • Apply common machine learning techniques to business and organisational problems. • Identify options and solutions using data science and analytics. • Understand essential concepts from contemporary business themes. • Evaluate and apply data science and analytics within business and organisational contexts.

Entry requirements

• Students should have completed O/L or an equivalent qualification. • Students with a Level 6 qualification in a related sector can apply. • Students with a Bachelor’s degree can apply. • Students with a minimum of 3 years’ relevant work experience can also apply. • Students working in data science, data analytics, IT, software development, database management, business intelligence, AI, machine learning, statistics, finance, or business analysis can apply. • Students working in a relevant field and seeking professional development are encouraged to apply. • Students should have basic knowledge of IT, mathematics, statistics, or data-related work.