Early bird scholarship up to 25%
âš Alert: Offer available till 30th of September 2026
Programs features
Learning Formula
Online/Blended
Intake
2 Times A Year
Language
English
Diploma in Data Science With Institute of Analytics UK
The Postgraduate Diploma in Data Science and AI
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: Institute of Analytics UK & Skill Development Council (SDC), Canada.
- Duration: 4 Months.
- Format: Online/Blended.
- Tuition: ₦500,000 (Flexible installment plans available).
- Accreditation: Institute of Analytics UK & 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.
Program Journey
From Pre-Program to Graduation
How students progress through the Diploma – from the Pre-Master's to the classes and coursework,
Mini Project defense and finally the certificate issuance
1
2
3
4
1
Pre-Master Courses (BLEP)
- Data Analysis for Managers
- AI for Business and innovation
- AI for Researchers
- Critical and Reflective Practice
- Online Business Education
- Academic Coaching
- Language Classes
- Webinars and Workshops
2
Foundational Courses
- Live Classes facilitated by Industry Experts
- Hands-on Sessions using analytic tools
- Assessments and project submissions
- Townhall Meetings with program coordinator/Director
- Company Visits
- Study tours
- Mini Project and Defense
3
Pathways (One Year Full Access To IoA)
- Data Analyst
- Business Analyst Using Tableau
- Business Analyst with Power BI
- Data Scientist using Python
- Data Engineer Using Python
- AI Engineer
4
Graduation and Certification
- Final Transcript and result issued
- Diploma certificates from Docenti Global Business School and Skill Development Council, Canada
- Certificate of completion for preferred pathway from Institute of Analytics
Get to know about this short course and what it offers
- Why Choose Us?
- Benefits
- Learning Objectives
- Program Structure
- Eligibility and Application
- Sample Certificate
- Testimonials
Why Choose Us?
- 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 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.
1. Double Certification:
Earn a recognized diploma from Docenti Global Business School and Skill Development Council, Canada.
2. Internship Opportunities:
Gain 3 months of hands-on industry experience to strengthen your expertise.
3. Capstone Project:
Apply your knowledge to solve real-world data challenges.
4. International Study Tour:
Participate in boot camps and study tours to Thailand and Rwanda.
5. Networking & Career Support:
Connect with top companies, career coaches, and like-minded professionals.
6. International Network Opportunities:
Expand your global network and access new career opportunities.
7. Business Incubation:
Receive support and resources to launch your own business.
8. Exposure to the Corporate Community:
Connect with top companies and industry leaders.
9. Career Service:
Receive personalized career coaching and support.
10. Use of Docenti LMS:
Access our state-of-the-art learning management system for one year.
11. Discounts on Programs:
Receive exclusive discounts on our programs and partner courses.
12. Coaching and Mentoring:
Receive personalized coaching and mentoring from industry experts.
13. Free Webinars:
Access exclusive webinars and online events.
Our Diploma in Data Science program is meticulously designed to guide students from foundational principles to advanced data analytics techniques. Participants will gain expertise in data science and artificial intelligence, equipping them with the skills necessary for extracting, transforming, and loading data efficiently.
Comprehensive Foundations to Advanced Analytics: Our curriculum guides students from core mathematical principles to advanced techniques, serving as an ideal data science course for emerging analytics professionals.
Mastery of ETL Data Processing: Gain end-to-end expertise in extracting, transforming, and loading raw datasets from CSV files, databases, and APIs to power high-level business analytics course frameworks.
Excel & Advanced Excel Proficiency: Master Microsoft Excel—a fundamental pillar of data science—through pivot tables, dynamic formulas, and process automation designed to take you from beginner to expert.
Data Management with SQL: Query, manage, and inspect high-volume enterprise databases using structured operations like SELECT, WHERE, GROUP BY, and JOINs, building essential skills for a prestigious data science certification.
Data Visualization with Power BI: Transform complex data sources into interactive executive dashboards, mastering visual communication tools that bridge computer science and modern artificial intelligence course applications.
Integrated Python Frameworks: Build robust analytical pipelines using foundational script architecture and specialized packages, introducing students to practical python for data science environments.
Machine Learning & AI Integration: Implement predictive models, statistical algorithms, and automated workflows covered in a modern machine learning course to solve real-world industry problems.
Career-Driven Online Credentials: Earn an industry-recognized online diploma designed to build a competitive portfolio for pursuing a high-level masters in data science or senior analytics roles.
- Total Credits: 60 ECTS (European Credit Transfer and Accumulation System).
- Schedule: Saturday – Sunday (9:00 AM – 1:00 PM) | Sunday (1:00 PM – 5:00 PM)
- 2 Cohorts (April and October 2026)
- Academic Level: Level 7 (Postgraduate Level).
- Duration: 6 to 9 Months.
- Pathway: Direct entry into the final stage of the MSc in Data Science & AI.
- Format: 100% Distance Learning (No visa sponsorship or relocation).
- Assessments and Capstone Project
- Quality Supervision & 2 Months Internship
Eligibility:
- Computer and Internet Access: Ensure you have a computer or laptop with a stable internet connection to access course materials and online resources for your data analytics course or online data science course.
- Basic Computer Skills: Familiarity with using a computer, web browsers, and basic file management will facilitate your learning process, especially when working with tools like SQL and Advanced Excel.
- Data Analysis Tools: Install essential tools such as Excel, SQL environments, and Power BI to participate in practical exercises and projects that align with real-world business analytics applications.
- Desire to Learn: Data analysis can be challenging, but a positive attitude and a genuine passion for data-driven decision-making will drive your success in the evolving field of data science.
Application:
Applicants are required to prepare the following documents:
- Identification Document: National ID card or passport.
- Educational Certificate: Proof of prior academic achievements to ensure readiness for advanced data science career opportunities.
Docenti Global Business School Sample Certificate.
Skill Development Council Canada Sample Certificate.
MODULES
Module 1: Introduction to Data Science
Description:
This module provides a practical introduction to the core principles and workflows of data science using Microsoft Excel as a primary tool for analysis. Participants will learn how to transition from raw, messy datasets to clear, actionable visual insights through hands-on data cleaning, exploratory analysis, and dashboard design.
Learning Outcomes & Core Modules
Introduction to Data Science
Understand the foundational data science lifecycle—from defining problem statements and collecting data to framing insights for decision-making. You will learn how data analysis drives strategic choices across business domains.
Introduction to Excel Functions
Master essential lookup, logical, and mathematical formulas (such as
XLOOKUP,INDEX/MATCH,IF/IFS,SUMIFS, and text functions) to manipulate datasets efficiently and automate repetitive calculations.Preparing Data
Learn techniques for data hygiene, including removing duplicates, handling missing or inconsistent values, splitting text columns, standardizing formats, and structuring raw inputs into clean tables ready for processing.
Exploring Data
Perform Exploratory Data Analysis (EDA) using Pivot Tables, summary statistics, and cross-tabulations to identify underlying distributions, spot outliers, detect trends, and uncover key patterns within complex datasets.
Data Visualization and Dashboards
Transform analytical findings into clear visual stories. You will build dynamic, interactive dashboards using chart types (bar, line, scatter, waterfall), conditional formatting, and slicers tailored for stakeholder presentations.
Module 2: Introduction to SQL and Databases
Description
This module establishes a solid foundation in relational database management and query design using SQL. Participants will learn how to extract, clean, structure, and analyze relational data, progressing from fundamental query logic to multi-table joins and nested subqueries to solve real-world data challenges.
Learning Outcomes & Core Modules
SQL (Structured Query Language)
Master the foundational syntax of SQL to communicate directly with relational databases. You will learn to execute basic data retrieval operations using
SELECT, filter rows based on specific conditions withWHEREand logical operators (AND,OR,NOT), handle missing data (NULL), and structure output usingORDER BY.Summarizing Data in SQL
Learn how to aggregate datasets to generate high-level summary metrics. You will apply key aggregate functions—
COUNT,SUM,AVG,MIN, andMAX—combined with theGROUP BYclause to group transactional records, and applyHAVINGfilters to evaluate aggregate-level criteria.Combining Tables in SQL
Understand relational database design and master methods for merging separate tables. You will implement various join types (
INNER JOIN,LEFT JOIN,RIGHT JOIN,FULL OUTER JOIN, andCROSS JOIN) based on primary and foreign keys to build unified datasets for analysis.Subqueries in SQL
Elevate your query logic by writing nested subqueries to perform multi-stage data processing. You will build scalar, column, and table-valued subqueries within
WHERE,FROM, andSELECTstatements, as well as leverage correlated subqueries andEXISTSoperators for conditional checks.
Module 3: Introduction to Python Programming
Description
This program provides a comprehensive introduction to Python programming tailored specifically for data analysis. Participants will build foundational programming skills, master core data manipulation libraries, and learn to transform raw data into clear, visual insights using interactive development environments.
Learning Outcomes & Core Modules
Basic Operators and Data Structures in Python
Master Python syntax fundamentals, including control flow, arithmetic and logical operators, and built-in data structures (lists, tuples, dictionaries, and sets) to store, access, and manipulate data efficiently.
Python Functions and Jupyter Notebook
Learn to write modular, reusable code using custom functions, parameter handling, and lambda expressions within the interactive Jupyter Notebook environment for iterative analysis and documentation.
Pandas and NumPy for Data Analysis
Utilize NumPy for high-performance numerical operations and vectorization, and leverage Pandas DataFrames to load, clean, transform, aggregate, and reshape structured datasets for analytical workflows.
Data Visualization in Python
Translate analytical findings into insightful visual representations using popular Python libraries such as Matplotlib and Seaborn to generate scatter plots, bar charts, histograms, heatmaps, and customized publication-ready graphs.
Career Services Beyond Classroom
1
Coaching and Mentoring
Receive one-on-one guidance from career advisors who will help you define your career goals, identify growth opportunities, and develop a clear roadmap for success in Data Science and AI
2
Cv Review and Linkedin Optimization
Our career experts will review and optimize your CV and LinkedIn profile to showcase your skills, projects, and achievements, increasing your visibility to recruiters and employers.
3
Career Acceleration workshops & Webinars
Participate in exclusive workshops and industry-led webinars focused on interview preparation, personal branding, networking, job search strategies, and emerging industry trends.
4
Internship & fulltime Job Placements
Gain access to internship and employment opportunities through our employer network, with ongoing support throughout your application and placement journey.
5
Module Specific Coaching & Mentoring
Receive personalized academic support throughout your programme, with dedicated coaching sessions to help you master each module, overcome challenges, and successfully complete practical projects and assessments.
Testimonials
Olamide Sobayo
Learning employability skills with Docenti over the past three months has been an eye-opening experience. The classes are not just theoretical; they are practical and relatable, tailored to help me… Read more “Olamide Sobayo”
Olamide Sobayo
Sekinat
For anyone serious about growth, Docenti Global Business School is the place to be. My learning journey in the school proved incredibly insightful. I actively learned, consciously unlearned, and effectively… Read more “Sekinat”
Sekinat
Gbadebo Elizabeth
Docenti Global Business School has helped me develop my career and my business mindset. Interactions with Students and Lecturers are fantastic. DGBS is a fantastic place to learn and develop… Read more “Gbadebo Elizabeth”
Gbadebo Elizabeth
Green Evans
I joined the Docenti Business school graduate program early this year, and so far, it has been nothing short of wonderful. The program has been made for us to have… Read more “Green Evans”
Green Evans
Certifications & Accreditations
Docenti Global Business School is accredited by QAHE (ISO 17011:2017)
Recognized by the American Accreditation Association (AAA)
Accredited by the Skill Development Council, Canada (SDC)
ALP Code 1195
Docenti's School of Entrepreneurs
Frequently Asked Questions
What is the difference between Data Analytics and Data Science?
While both fields work with data to drive business decisions, their scope differs:
Data Analytics focuses on processing and performing statistical analysis on existing datasets. Analysts uncover hidden patterns, create dashboards, and answer specific business questions (e.g., "Why did sales drop last quarter?").
Data Science is broader and more predictive. Data scientists build algorithms, design machine learning models, and write code to predict future trends and automate decision-making processes.
This diploma program covers both tracks, taking you from foundational analysis to advanced predictive science.
Do I need a background in math, coding, or computer science to enroll?
No. This diploma is structured to accommodate both complete beginners and professionals transitioning from non-technical roles (such as marketing, finance, or business administration). We start from the absolute basics of data literacy and logic before advancing step-by-step into coding and statistical modeling.
What core tools and programming languages will I learn?
The curriculum is built around the most highly demanded tools in the global tech and corporate ecosystem. You will gain hands-on proficiency in:
Data Analysis & Visualization: Advanced Microsoft Excel, Power BI, and Tableau.
Database Management: SQL (Structured Query Language) for querying and managing large datasets.
Data Science Programming: Python and R, focusing on critical libraries like Pandas, NumPy, and Scikit-Learn for machine learning.
Is this program a theoretical degree or a practical certification?
This is a highly practical, project-based professional diploma. While you will learn the vital mathematical and statistical theories behind data models, the majority of your time will be spent working on real-world datasets. You will build a professional portfolio of projects that proves your practical capabilities to recruiters.
Can I balance this data science course with my full-time job?
Yes. The program is designed specifically for working professionals. With our flexible blended learning model, you can access recorded lectures, coding labs, and study modules online on a schedule that fits your lifestyle, allowing you to upskill without disrupting your current career commitments.
What career paths can I pursue after completing this diploma?
Data professionals are heavily sought after across banking, telecommunications, e-commerce, and logistics sectors. Graduates from this program are equipped to step into roles such as:
Data Analyst / Business Intelligence (BI) Analyst
Data Scientist
Database Administrator / SQL Developer
Predictive Analyst / Machine Learning Specialist
Are international data certifications included in this program?
Yes. In addition to earning your professional diploma, the curriculum prepares you mapped directly to globally recognized industry certifications. This ensures you are ready to ace exams from major international bodies like Microsoft (Power BI Data Analyst), Google, or specialized analytics institutes, giving your resume international credibility.
Why should I choose this diploma over short online tutorials?
Short online videos often leave gaps in structured structural knowledge and lack accountability. This diploma provides a structured, end-to-end academic framework, dedicated mentorship from experienced data instructors, real-world portfolio building, and a recognized credential that carries weight on your CV when applying for both local and global roles.
