Diploma in DATA ANALYTICS
Program Objective
This vocational training program is designed to prepare learners for entry-level roles in data analysis across business, finance, healthcare, marketing, and other sectors. The program combines practical data skills, analytical thinking, and industry-standard tools to ensure graduates are workforce-ready.
Students will gain hands-on experience working with data, using spreadsheets, databases, and data visualization tools. They will also learn how to interpret results, generate insights, and communicate findings clearly. The curriculum is tailored to bridge the gap between raw data and decision-making.
Upon completion, graduates will be equipped to support data-driven decision-making and assume roles such as Junior Data Analyst, Business Intelligence Assistant, or Reporting Assistant in various industries.
Program Structure
Duration: 12 Months
Terms 1–3 (9 months): Classroom-based instruction (12 modules)
Term 4 (3 months): Final project & Internship Placement
Level: NVQ Level 3 / EQF Level 4
TERM 1: Fundamentals of Data Analysis
Module 1: Introduction to Data Analysis
This foundation module introduces the principles and real-world importance of data analysis. Students explore how data is collected, used, and interpreted in business and social contexts.
Module 2: Spreadsheets for Data Analysis (Excel / Google Sheets)
Students gain practical experience using spreadsheets to manage, analyze, and visualize data. This is a key skill used in nearly every data-related role.
Module 3: Statistics for Beginners
This module introduces key statistical tools that form the basis for data interpretation. Students develop numerical literacy and analytical confidence.
Module 4: Data Cleaning & Preparation
Poor-quality data leads to poor decisions. This module focuses on how to clean, validate, and structure data to make it usable for analysis.
TERM 2: Tools, Analysis & Business Applications
Module 5: Databases & SQL for Data Analysts
This module introduces relational databases and teaches students how to retrieve and manipulate data using SQL (Structured Query Language).
Module 6: Data Visualization & Reporting
Students learn to communicate insights using charts, graphs, and dashboards. The module emphasizes visual clarity and the storytelling aspect of data.
Module 7: Data in Business & Operations
This applied module explores how data supports real business functions such as sales, marketing, finance, and HR. Learners work with typical business datasets.
Module 8: Introduction to Python for Data Analysis
Python is a powerful tool for automating and scaling analysis tasks. This module teaches basic coding skills tailored to data workflows.
TERM 3: Critical Thinking, Communication & Workplace Readiness
Module 9: Critical Thinking & Problem Solving with Data
Students learn to apply logic and structured thinking to extract insights, test assumptions, and solve business problems with data.
Module 10: Project Management for Analysts
This module provides tools to manage small data projects, from planning to delivery, helping learners work effectively in real-world environments.
Module 11: Communication & Storytelling with Data
Successful analysts know how to translate findings into actionable insights. This module focuses on writing and presentation skills for non-technical audiences.
Module 12: Career Development & Industry Readiness
This module prepares students for the job market, providing resources for self-marketing and guidance for the next step in their data journey.
TERM 4: Internship & Final Project
Supervised Internship
Students are placed in a real working environment—either in a company, NGO, or public sector-to apply their skills under guidance.
Final Project / Thesis
Students complete a capstone project demonstrating the skills acquired during the course.
Learning Outcomes
Upon successful completion of the program, learners will be able to:
Understand the role of data analysis in decision-making.
Collect, clean, format, and manage structured data.
Use spreadsheets and databases to analyse and organize data.
Apply basic statistical methods to interpret data trends.
Build and present data visualizations using industry tools.
Write and execute SQL queries to extract insights from databases.
Use Python for basic data manipulation and automation.
Solve real-world business problems using data.
Communicate findings effectively to technical and non-technical audiences.
Work in a team environment and manage analysis tasks independently.
Uphold ethical standards in data handling and reporting.
Enter the workforce with a professional data portfolio and practical experience.
What does the Diploma in Data Analytics cover?
Find clear answers to your questions about the program’s structure, duration, and career benefits to help you decide with confidence.
How long is the Diploma in Data Analytics program?
The program runs for 12 months, combining classroom learning and an internship to ensure practical experience.
What skills will I gain from this diploma?
It equips you with skills like data cleaning and manipulation, statistical analysis, data visualization, and using tools/languages. You also develop crucial soft skills like critical thinking, problem-solving, and communication to translate complex data into actionable insights.
Is there an internship included in the course?
Yes, an internship is part of the curriculum to provide real-world administrative experience.
Who should enroll in this diploma program?
Anyone aiming to excel as a Data Analytics across various industries will benefit greatly.
Enroll Today to Advance Your Career
Discover how our diploma can elevate your skills and open new professional opportunities.