Diploma in ADVANCED DATA ANALYTICS V2
Program Objective
The Diploma in Advanced Data Analytics V2 is a 12-month vocational program designed to equip learners with the technical expertise, analytical thinking, and real-world business context needed to thrive in today’s data-driven economy.
This comprehensive course builds foundational knowledge in data handling, databases, business intelligence, and visualization, followed by deeper exploration into machine learning, predictive analytics, and data engineering. Beyond tools and models, the program emphasizes data ethics, stakeholder communication, and strategic insight generation—ensuring graduates can deliver impact from data.
Whether you’re preparing for roles like Data Analyst, Junior Data Scientist, or BI Analyst, this program bridges the gap between raw data and practical, actionable business intelligence.
Program Structure
Duration: 12 Months
Terms 1–3 (9 months): Classroom-based instruction (12 modules)
Term 4 (3 months): Final project & Internship Placement
TERM 1: Analytical Foundations & Technical Skills
Module 1: Data fundamentals
Introduces the landscape of modern data, its role in decision-making, and how it’s structured, stored, and governed. Students explore different data types, the importance of data quality, and the lifecycle of analytics projects.
Module 2: Databases & SQLs
Teaches how data is stored, managed, and retrieved. Learners practice writing SQL queries, joining datasets, and designing database schemas.
Module 3: Data visualisation and business intelligence
Explores techniques to transform raw data into clear, engaging visuals that support insight-driven decisions. Students build dashboards and perform descriptive statistical analysis.
TERM 2: Machine Learning & Advanced Analytics
Module 4: Introduction to Machine Learning
Builds foundational data science skills and introduces the Python ecosystem (Pandas) for data handling and basic machine learning workflows. Students also explore low-code alternatives.
Module 5: Advanced Analytics
Covers core machine learning models and how they are applied in real-world industry settings. Emphasis is placed on understanding models conceptually and implementing them in Python.
TERM 3: Project Management, Communication & Data Engineering
Module 6: Project management
Focuses on executing data projects from scoping through delivery. Learners practice stakeholder engagement, documentation, communication, and presentation skills.
Module 7: The Wider World of Data & Engineering
Explores modern data ecosystems including cloud infrastructure, data pipelines, open-source tools, and platforms used in enterprise-scale analytics.
TERM 4: Internship & Final Project
Supervised Internship
Students complete a 6–8 week placement in a professional setting, applying data analytics skills to real-world business problems. Where possible, students may also support introductory machine learning workflows under supervision.
Final Project
Students complete an independent capstone project that showcases their ability to manage a full data analysis workflow – from problem definition to insight delivery.
Learning Outcomes
Upon successful completion of the Diploma in Advanced Data Analytics V2, learners will be able to:
Independently manage and execute data projects using modern tools and techniques.
They will demonstrate the ability to clean, structure, and analyse data using Excel, SQL, and Python,
apply statistical and machine learning models to generate insights.
Learners will be proficient in creating interactive dashboards with tools such as Power BI or Tableau, and capable of communicating complex findings to both technical and non-technical stakeholders.
Graduates will also show awareness of data ethics, governance, and security, and be prepared to contribute effectively in real-world business environments across sectors.
What does the Diploma in Advanced Data Analytics V2 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 Advanced Data Analytics V2 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?
This course typically focuses on machine learning, predictive modeling, big data technologies, and advanced statistical analysis, often with an emphasis on Python and specialized data visualization tools for complex problem-solving and 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 Advanced Data Analytics V2 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.