Data Analytics and AI: How Delight’s AI Programme Prepares Data-Driven Professionals

By Delight Technical College | School of Media & AI | 2026

Data is the raw material of the AI age and the ability to collect, analyse, and draw meaningful conclusions from data is one of the most valuable professional skills in the 21st-century economy. Delight Technical College’s Level 6 AI Diploma includes data analytics as a core component preparing graduates to work with data professionally in a growing range of industries across Kenya and East Africa.

📊 What Is Data Analytics?

Data analytics is the process of examining data sets to draw conclusions and inform decisions. In a business context, data analytics answers questions like:

• Which products are selling best, and why?
• Which customers are most valuable, and what do they have in common?
• Which marketing channels are generating the best return?
• Where are inefficiencies in our operations?
• What is likely to happen next, based on historical trends?

🤖 Data Analytics in the AI Context

Data analytics and AI are deeply intertwined. AI systems are trained on data and the quality of that data determines the quality of the AI. Understanding data analytics gives AI practitioners the ability to:

• Collect and clean data- preparing it for use in AI training
• Identify patterns and trends in data- informing AI model development
• Evaluate AI model performance- using data to measure how well an AI system is working
• Communicate data insights- translating data findings for non-technical stakeholders

📚 Data Skills in Delight’s AI Programme

Data Collection:

• Understanding different data types and sources
• Methods of data collection like surveys, web scraping, sensor data, and database exports
• Data quality assessment- identifying and addressing missing, incorrect, or biased data

Data Processing and Analysis:

• Using Python for data manipulation- the standard language for data work
• Data cleaning- removing duplicates, filling gaps, and standardising formats
• Statistical analysis- descriptive statistics, correlation, and basic predictive analysis

Data Visualisation:

• Creating charts, graphs, and dashboards that communicate data clearly
• Tools like Python libraries (Matplotlib, Seaborn), and basic dashboard tools
• Storytelling with data- presenting insights in a way that informs decisions

💼 Career Paths for Data-Skilled AI Graduates

• Data Analyst- extracting insights from business data
• Business Intelligence Analyst- building dashboards and reports for decision-making
• AI Developer with data specialisation- building data pipelines for AI systems
• Digital Marketing Analyst- using data to optimise digital marketing performance
• Research Analyst- using data skills in academic or policy research

“Data is the new oil but like oil, it is useless until it is refined. At Delight, we train data practitioners who can turn raw information into actionable insight.”

📍 Delight Technical College | Muindi Mbingu Street, Opposite Jevanjee Gardens, Nairobi | +254 722 533 771 | www.delight.ac.ke