Hicom Royal Technologies
Learning begins with us build skills, gain confidence, and start your tech career.
Founded in 2007, Hicom Royal Technologies started as an IT services company in Nigeria and expanded into IT training in 2022.
We specialise in practical, project-based learning designed to prepare learners for real-world tech careers.
Today, we deliver training that bridges the digital skills gap in both Africa and the UK.
The Hicomroyal Tech Level 3 Data Analysis Bootcamp is a hands-on training programme designed to prepare learners for entry-level roles in data analysis across multiple industries.
You will learn how to collect, clean, analyse, and visualise data, while developing the communication skills needed to present insights clearly and professionally.
In today’s world, data is power — and those who understand it lead the future
In today’s world, data is power — and those who understand it lead the future
— Anonymous
Curriculum Overview
We provide a practical and industry-focused curriculum designed to equip learners with real-world data skills, preparing them for successful careers in today’s digital and data-driven economy.

Data Fundamentals
Introduction to data types, sources, and the role of a data analyst.

Data Architecture & GDPR
Understanding data systems, storage, and UK data protection laws.

Data Cleaning
Identifying errors, handling missing values, improving data quality.

Data Integration
Combining datasets and working with structured data.

Statistical Analysis
Using Excel and Python for descriptive and basic inferential analysis.

Data Visualisation
Creating dashboards and reports using Power BI and Tableau.
ASSESSMENT
Practical Exercises
These are hands-on tasks where learners apply what they are taught in class. For example: Cleaning a messy dataset in Excel, Creating charts in Power BI Writing simple Python code for analysis Purpose: To build confidence by practicing real tools step by step.
Case Studies
These are real-world business scenarios where learners act like data analysts. For example: Analysing sales data for a retail company Understanding customer behaviour patterns Finding trends from healthcare or education data Purpose: To develop problem-solving skills and learn how data is used in real companies.
Final Capstone Project
This is a complete end-of-course project where learners combine everything they’ve learned. For example: Full data analysis project from raw data to insights Building a dashboard in Power BI or Tableau Presenting findings like a professional analyst Purpose: To prove job readiness and build a strong portfolio for employment.
