Command the Future of AI and Data Analytics
Earn a professional Diploma in Data Science, master machine learning algorithms, and build the data pipelines powering global innovation.
APPLY NOW⚠ Alert: Offer available till 30th of June 2026
Command the Future of AI and Data Analytics
Earn a professional Diploma in Data Science, master machine learning algorithms, and build the data pipelines powering global innovation.
APPLY NOW⚠ Alert: Offer available till 30th of June 2026

Accreditation and Recognition
Our qualifications are supported by internationally recognised frameworks, accreditation bodies, and evaluation organisations, ensuring global credibility and academic recognition.






Program Details
The Postgraduate Diploma in Data Science and AI is an elite technical credential delivered in collaboration with the Skill Development Council (SDC), Canada. This program is designed to transform professionals into data-driven architects. By merging North American industry standards with practical business application, it equips you to lead the AI revolution within your organization or across the global remote workforce.
Program Facts
- Certificate Award: Skill Development Council (SDC), Canada.
- Duration: 4 Months.
- Format: 100% Online / Distance Learning Skill-based.
- Tuition: ₦500,000 (Flexible installment plans available).
- Accreditation: Skill Development Council, Canada, ISO9001:2015
Core Skills You Will Master
This program is built on Evidence-Based Technical Learning, ensuring you master the following:
- Predictive Modeling & Machine Learning: Build and deploy algorithms to forecast business trends using Python and R.
- Advanced Data Visualization: Master Power BI and Tableau to transform complex data into actionable executive insights.
- SQL & Database Management: Build and manage robust databases to ensure data integrity and accessibility.
- Generative AI Strategy: Learn to integrate AI tools into business workflows to automate tasks and drive innovation.
- Data Ethics & Governance: Navigate the legal and ethical frameworks of the global digital economy.
Key Learning Outcomes
Comprehensive Curriculum: Formulated to guide students seamlessly from foundational principles to advanced data analytics and artificial intelligence techniques.
Core Processing Skills: Master the full Extract, Transform, and Load (ETL) pipeline to gather, import, and clean raw data from databases, CSV files, and APIs.
Data Transformation: Progress from beginner to expert using Microsoft Excel to handle missing values, eliminate duplicates, and structure complex datasets.
Advanced Techniques: Utilize high-value functions like Pivot Tables, advanced formulas, and automation to drive strategic, data-driven business decisions.
Database Control: Learn to efficiently query, manage, and audit massive, structured datasets.
Essential Operations: Master core command structures including
SELECT,WHERE,GROUP BY, andJOINoperations to streamline data extraction.Interactive Dashboards: Convert fragmented data from multiple sources into cohesive, interactive dashboards and business intelligence reports.
Visual Intelligence: Leverage Microsoft Power BI to present complex analytics and machine learning insights in visually striking, digestible formats.
The Four Pillars of the Docenti Experience
Industry Connections
Build valuable connections with professionals, business leaders, and industry experts while gaining practical insights into today's business environment.
Global Exposure
Borderless learning that connects you to the global market, and opens opportunities to international partnerships
Executive Leadership
Prepares you to take up leadership responsibilities at organizational level, community, national and international levels
Career Impact
Gain the knowledge, credibility, and practical skills that supports your access to new and international opportunities.
Why Choose Our Diploma in Data Science?
North American Technical Benchmarks
Gain a diploma that reflects the high standards of the Canadian tech industry, giving your Resume an immediate international credibility.
In-Demand Technical Mastery
Graduate with a “ready-to-deploy” skill set, including Predictive Modeling, Big Data Architecture, SQL, Power BI, and Generative AI Strategy.
Professional Mentorship and Capstone Project
We provide dedicated mentors to guide your career path and help you navigate the data science landscape.
Growth Focused Webinars
Regular access to sessions led by industry leaders designed to impact your career growth and professional standing.
Guaranteed Internship Access
Provision of internship placements that allow you to practice what you have learned in real-life scenarios with our network of partner companies.
Portfolio Development
Every module focuses on building a professional portfolio of a real world projects to prove your technical depth to global employers.
Joint Technical Oversight
Benefit from a curriculum designed to align with Skill Development Council Canada's rigorous technical standards.
Diploma in Data Science
- Module 1: INTRODUCTION TO MICROSOFT EXCEL
- Module 2: DATA PRESENTATION
- Module 3: POWER QUERY AND PIVOT TABLE
- Module 4: DASHBOARD CREATION USING EXCEL
- Module 5: INTROODUCTION TO POWER BI
- Module 6: CONNECTING AND CLEANING DATA
- Module 7: CREATING MODEL
- Module 8: DATA VISUALIZATION AND REPORT
- Module 9: WRITING QUERIES WITH MICROSOFT SQL SERVER
Earn Globally Recognised Credentials
Receive a globally recognized Diploma qualification in Data Science, showcasing advanced skills in predictive modeling, machine learning algorithms, and strategic data visualization.


Career Opportunities
This programme prepares professionals for specialized analysis, modeling, engineering, and strategic leadership roles across industries. Graduates develop the skills needed to extract business intelligence, deploy complex machine learning models, and make data-informed architectural decisions in today’s digital economy.
✓ Data Scientist
✓ Machine Learning Engineer
✓ Data Analyst
✓ Business Intelligence (BI) Developer
✓ Data Architect
✓ Big Data Engineer
✓ Data Processing (ETL) Specialist
✓ Predictive Analytics Consultant
✓ SQL Database Administrator
✓ AI Strategy Manager
✓ Data Governance and Compliance Officer
✓ Quantitative Analyst
✓ Power BI / Tableau Specialist
✓ Analytics Manager
✓ Reporting and Insights Engineer ✓ Chief Data Officer (CDO) Track
