Early bird scholarship up to 25%
⚠ Alert: Offer available till 30th of April 2026
Programs features
Learning Formula
Online/Blended
Intake
2 Times A Year
Language
English
Diploma in Data Science with Skill Development Council Canada
The Diploma (Post Graduate Diploma) in Data Science is an Employability and Career Acceleration program designed for professionals who need to master data-driven decision-making quickly. This program acts as a sophisticated bridge for those transitioning into tech or as the first stage of a full Master of Science (MSc) degree.
Delivered 100% online, this Post Graduate Diploma allows you to gain a European-accredited credential from Malta without the life-disrupting costs of physical relocation. It is built for the professional who wants to lead in the age of AI while maintaining their current career trajectory in Nigeria.
Key Academic Facts
- Total Credits: 60 ECTS (European Credit Transfer and Accumulation System).
- 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).
The Value Proposition: Why the Post Graduate Diploma at DGBS?
- Fast-Track Technical Mastery: Gain high-level competency in AI and Data Analytics in under a year, focusing on the skills that actually move the needle in business.
- Affordable European Credential: Earn a degree accredited by the MFHEA (Malta) at a fraction of the price of international campus programs. You save millions on travel and foreign living expenses.
- Modular Progress: Use this diploma as a standalone qualification or transfer your 60 ECTS credits directly into our MSc program, saving you time and money later.
- Immediate Workplace Application: From SQL to Machine Learning, the curriculum is designed to be applied to your current business challenges the same week you learn them.
Evidence-Based Research & Quality Supervision
Even at the Diploma level, we maintain rigorous academic standards through Evidence-Based Learning.
- Supervised Projects: You aren’t just watching videos. You will work on technical projects under the guidance of industry-expert supervisors who ensure your models meet global standards.
- Research Literacy: You will learn to evaluate data sources and AI models with a scientific eye, ensuring your technical output is reliable and ethically sound.
- Portfolio Development: Your coursework is designed to form a professional portfolio that demonstrates your ability to solve complex data problems to global employers.
Core Focus & Research Areas
Students engage with the most relevant pillars of the modern tech economy:
- Advanced Data Visualization: Mastering Power BI and Tableau for executive reporting.
- Applied Machine Learning: Building predictive models for retail, finance, and healthcare.
- AI Strategy for Managers: Understanding how to lead technical teams and implement Generative AI.
- Big Data Infrastructures: Learning the architecture behind large-scale data processing.
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
Expert Faculty
Learn from experienced data professionals who break down complex concepts and guide you with real-world industry insights.
Modern Tools & Tech
Gain hands-on experience with tools like Python, SQL, AI, and data visualization platforms so you graduate with practical, job-ready skills.
Docenti Career Services
We go beyond teaching. Get support with CV optimization, LinkedIn profile enhancement, interview preparation, and career coaching plus access to job placement opportunities.
Strong Student Support
From enrolment to graduation, you’ll have access to mentorship, academic guidance, and learning resources to keep you on track.
Real-World Skills
Learn how to analyze data, solve business problems, and make informed decisions that create real impact.
Global Relevance
Build in-demand skills aligned with global data trends, giving you opportunities both locally and internationally.
Flexible & Valuable
Enjoy flexible learning options while earning a recognized qualification that can fast-track your career in tech.
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.
Extract, Transform, and Load – Master Data Processing
Students will develop proficiency in data processing, enabling them to gather and import data from multiple sources, including CSV files, databases, and APIs. They will learn strategies for data analysis in Excel, effectively handling missing values, duplicates, and structuring raw data for data analytics. By mastering these techniques, participants will become adept at data visualization and data analysis, empowering them to make informed business decisions.
Excel Proficiency for Data Analysis
The Introduction to Excel and Advanced Excel modules will provide students with data transformation capabilities using Microsoft Excel, a critical tool in data analytics and Excel-based data science. Through pivot tables, formulas, and automation techniques, participants will advance from beginner to expert in data science and analytics.
Efficient Data Management with SQL
The Diploma in SQL, a core component of the Diploma in Data Science, offers participants the ability to efficiently query, manage, and analyze large datasets. This module covers essential data science and analytics techniques, including SELECT, WHERE, GROUP BY, and JOIN operations, facilitating structured data processing and analytics.
Mastering Data Visualization with Power BI
Through the Diploma in Power BI, students will learn to utilize Power BI and data visualization tools to convert data from multiple sources into interactive dashboards and business intelligence reports. This specialized module ensures proficiency in data science data visualization using Microsoft Power BI, a leading tool in computing science and artificial learning.
- 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 MICROSOFT EXCEL
Description
Learning Outcomes
- Understand and apply basic Excel functions (LEFT, RIGHT, MID, UPPER, LEN, LOWER, PROPER, CONCATENATION).
- Utilize mathematical and statistical functions (MAX, MIN, TODAY, AVERAGE, SUM, SUMIF, SUMIFS, COUNT, COUNTIFS).
- Implement logical functions (IF, IFS, IF(OR), IF(AND)).
- Master lookup functions (VLOOKUP, HLOOKUP, INDEX, MATCH).
- Perform data analysis using conditional formatting and descriptive statistics.
MODULE 2: DATA PRESENTATION
Description
This module covers data visualization techniques using Excel’s charting tools. Participants will learn to create and format graphs, pie charts, and combo charts for effective data communication. The focus is on selecting the right chart for different data sets, enhancing clarity, and presenting insights in a visually compelling way.
Learning Outcomes
- Identify and apply the most appropriate chart type for different datasets.
- Format and customize graphs, pie charts, and combo charts for improved clarity.
- Use Excel’s charting tools to create dynamic and interactive visuals.
- Develop business and academic reports with clear and professional data presentations.
MODULE 3: POWER QUERY AND PIVOT TABLE
Description
This Diploma in Data Science program emphasizes data processing through Power Query and Pivot Tables, providing participants with essential skills in data analysis from Excel and data science and analytics. Learners will master techniques in artificial learning and data visualization tools, ensuring proficiency in extracting insights and making data-driven decisions.
Learning Outcomes
By completing this course, participants will acquire the ability to:
- Connect Excel to external data sources such as web pages, SQL Server, and Microsoft Power BI, applying industry-standard techniques in data analytics and machine learning.
- Clean and transform data using Power Query, ensuring structured data processing and efficient data science roadmap development.
- Create and manipulate Pivot Tables for data visualization and data analysis, enabling effective data analytics for business intelligence applications.
- Use calculated fields and connect multiple Pivot Tables, enhancing analytical proficiency in data science and artificial intelligence.
MODULE 4: DASHBOARD CREATION USING EXCEL
Description
Participants will learn how to create interactive and visually appealing dashboards in Excel. The course covers the design and creation of various types of charts and the use of slicers for data insights, enabling effective data presentation.
Learning Outcomes
- Design and create interactive dashboards in Excel.
- Utilize slicers to filter and analyze data within dashboards
- Create and customize various types of charts (graphs, pie charts, combo charts).
- Present data effectively using visual tools.
MODULE 5: INTROODUCTION TO POWER BI
Description
This course introduces Power BI, covering the interface, data connectivity, and ETL processes. Participants will learn to create data models, use DAX for measures, and develop comprehensive reports and dashboards.
Learning Outcomes
- Navigate and utilize the Power BI interface and workflow.
- Connect and clean data using Power BI’s ETL capabilities.
- Create data models, understand relationships, and ensure data integrity.
- Develop measures using DAX (Data Analysis Expressions).
- Visualize data and create comprehensive reports in Power BI
MODULE 6: CONNECTING AND CLEANING DATA
Description
This module focuses on Extract, Transform, and Load (ETL) processes, enabling participants to connect, clean, and structure datasets for analysis. The module covers essential table transformations, text cleaning, and numerical formatting techniques to ensure data accuracy and consistency.
Learning Outcomes
- Understand ETL processes for data integration and transformation.
- Perform table transformations to clean and restructure data.
- Use text functions to correct and standardize text entries.
- Apply number formatting techniques for financial and statistical analysis.
- Prepare clean datasets for use in Excel and Power BI dashboards.
MODULE 7: CREATING MODEL
Description
This module introduces data modeling in Excel and Power BI, focusing on structuring datasets for effective analysis. Participants will learn how to build a data model, understand relationships between tables, and define cardinality for accurate data representation
Learning Outcomes
- Understand data models and their importance in data analytics.
- Differentiate between data tables and lookup tables in modeling.
- Define and apply cardinality relationships for structured datasets.
- Improve data integrity and reporting efficiency using proper data modeling techniques.
MODULE 8: DATA VISUALIZATION AND REPORT
Description
This module introduces data visualization techniques and the best practices for creating effective reports. Participants will explore different visualization tools, learn how to select the most appropriate chart types, and apply dashboard visualization techniques to create insightful, interactive reports.
Learning Outcomes
- Understand and apply data visualization principles.
- Select appropriate visualization techniques for different datasets.
- Develop interactive dashboards for real-time reporting.
- Enhance report readability using formatting and storytelling techniques.
- Use Power BI, Excel, and Tableau to create dynamic and insightful visualizations.
MODULE 5: WRITING QUERIES WITH MICROSOFT SQL SERVER
Description
This course provides an in-depth understanding of SQL for data analysis. Participants will learn to write basic and advanced SQL queries, perform data manipulations, and integrate SQL data with Excel and Power BI for comprehensive analysis. The course culminates in a capstone project where participants apply their skills to real-world data scenarios.
Learning Outcomes
- Understand the fundamentals of SQL and relational databases
- Write basic SQL queries using SELECT, WHERE, AND, OR, NOT, NULL, ORDER BY.
- Apply advanced filters and aggregate functions (TOP, DISTINCT, SUM, AVG, MAX, MIN, GROUP BY).
- Perform data manipulations using date functions, string functions, and case expressions.
- Execute various types of joins (INNER, OUTER, LEFT, RIGHT, FULL).
- Create and manage SQL views.
- Understand and implement DDL commands (CREATE, DROP, ALTER).
- Integrate SQL data with Excel and Power BI.
- Optimize SQL queries for performance
- Design and present a capstone project utilizing SQL, Excel, and Power BI.
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
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