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Diploma in Data Science


Gain practical skills in Data Science, AI, Machine Learning, Python, SQL, and Data Visualization. Learn to transform data into actionable insights and prepare for high-demand careers.

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Diploma in Data Science

Transform Data into Decisions. Build Skills for the Future.

Better Managers for a Better World

Data is no longer just an asset—it is the foundation of modern business strategy. Organizations across industries are actively seeking professionals who can collect, analyse, interpret, and communicate data-driven insights that drive business growth and innovation.

The Diploma in Data Science at Rome Business School Nigeria is an intensive 8-week executive programme designed to equip professionals, entrepreneurs, graduates, and aspiring analysts with practical, industry-relevant data science skills.

Through a combination of live instruction, practical exercises, real-world case studies, business intelligence projects, and a capstone project, participants will learn how to transform raw data into actionable insights using globally recognized tools and technologies.

Whether you are looking to launch a career in data analytics, strengthen your decision-making capabilities, or future-proof your professional skillset, this programme provides the ideal starting point.

Programme Overview

ProgrammeDiploma in Data Science
Duration8 Weeks
ModeLive Online
LevelBeginner to Intermediate
Weekly Contact Hours7 Hours
Total Learning Hours56 Hours
ScheduleThursday, Friday & Saturday
Programme Fee₦350,000

Why Study Diploma in Data Science?

Data-driven organizations consistently outperform their competitors because they make decisions based on evidence rather than assumptions.

This programme will help you:

  • Develop analytical thinking skills
  • Understand business intelligence and reporting
  • Learn how to work with large datasets
  • Build professional dashboards and visualizations
  • Master data analysis tools used by leading organizations
  • Understand the foundations of Artificial Intelligence and Machine Learning
  • Make better strategic and operational decisions

What You Will Learn

Foundations of Data Science

Gain a strong understanding of:

  • Data Science Fundamentals
  • Data Analytics vs Data Science
  • Data Science Lifecycle
  • Business Applications of Data Science
  • Ethics and Responsible Data Use
  • Career Opportunities in Data Science

Data Analysis with Microsoft Excel

Learn how to transform raw business data into meaningful insights using:

  • Data Cleaning and Preparation
  • Data Validation
  • Advanced Excel Functions
  • Pivot Tables and Pivot Charts
  • KPI Development
  • Interactive Dashboards
  • Executive Reporting
  • Data Storytelling

SQL for Data Science

Build your ability to query and manage structured datasets through:

  • Database Fundamentals
  • Relational Databases
  • SQL Queries
  • Data Filtering and Sorting
  • Aggregate Functions
  • Joins and Multi-Table Analysis
  • Business Reporting
  • Advanced SQL Techniques

Python Programming for Data Science

Develop programming skills required for modern data analysis:

  • Python Fundamentals
  • Variables and Data Types
  • Functions and Loops
  • Data Structures
  • NumPy
  • Pandas
  • Data Cleaning
  • Exploratory Data Analysis
  • Data Visualization

R Programming for Analytics

Learn the fundamentals of statistical computing using:

  • R and RStudio
  • Data Manipulation
  • Statistical Analysis
  • Data Import and Processing
  • Descriptive Analytics

Business Intelligence with Power BI

Create professional dashboards and business reports through:

  • Data Import and Transformation
  • Data Modelling
  • Power Query
  • DAX Fundamentals
  • Interactive Dashboards
  • Business Intelligence Reporting

Data Visualization with Tableau

Master the art of communicating insights through:

  • Interactive Dashboards
  • Charts and Visualizations
  • Data Storytelling
  • Executive Reporting
  • Performance Monitoring

Introduction to Machine Learning

Explore the concepts shaping the future of business intelligence:

  • Machine Learning Fundamentals
  • Supervised Learning
  • Unsupervised Learning
  • Classification
  • Regression
  • Model Evaluation
  • Predictive Analytics

Hands-On Learning Experience

At Rome Business School Nigeria, we believe learning should be practical and immediately applicable.

Participants will engage in:

  • Live Interactive Sessions
  • Practical Exercises
  • Real-World Business Case Studies
  • Weekly Assignments
  • SQL Challenges
  • Python Coding Projects
  • Business Intelligence Dashboard Projects
  • Capstone Project Presentation

By the end of the programme, participants will have developed a portfolio of practical projects demonstrating their analytical capabilities.

Tools & Technologies Covered

Participants will gain hands-on experience using industry-standard tools including:

  • Microsoft Excel
  • SQL
  • Python
  • R Programming
  • Power BI
  • Tableau
  • Scikit-Learn
  • Google Colab
  • Jupyter Notebook

Learning Outcomes

Upon successful completion, participants will be able to:

  • Collect, clean, and organize datasets
  • Analyse and interpret business information
  • Create professional dashboards and reports
  • Communicate insights to stakeholders effectively
  • Support data-driven decision-making
  • Apply analytical thinking to real-world business problems
  • Understand machine learning fundamentals
  • Use leading data science tools confidently

Career Opportunities

The Diploma in Data Science prepares participants for roles such as:

  • Data Analyst
  • Business Intelligence Analyst
  • Reporting Analyst
  • Research Analyst
  • Monitoring & Evaluation Analyst
  • Operations Analyst
  • Data Consultant
  • Junior Data Scientist

It also equips managers and business leaders with valuable analytical skills needed in today’s data-driven workplace.

Who Should Attend?

This programme is ideal for:

  • Business Professionals
  • Entrepreneurs
  • Managers and Team Leaders
  • IT Professionals
  • Researchers
  • Recent Graduates
  • Project Managers
  • Consultants
  • Anyone interested in Data Science and Analytics

No prior coding or data science experience is required.

Faculty

Dr. Vivian Adaobi Ariguzo

Programme Director, Rome Business School Nigeria

Dr. Vivian Adaobi Ariguzo is an experienced management consultant, business strategist, and educator with expertise spanning business analytics, entrepreneurship, customer engagement, international trade, and organizational development.

With over a decade of experience in the financial services sector and extensive consulting engagements across multiple industries, she brings practical business insight and academic excellence to the classroom.

Technical Requirements

Participants should have access to:

  • A Windows or Mac Laptop
  • Minimum 4GB RAM (8GB Recommended)
  • Stable Internet Connection
  • Microsoft Excel
  • Power BI Desktop
  • Tableau Public
  • Python (Anaconda)
  • SQL Environment
  • Google Account

Why Rome Business School Nigeria?

  • International Standards – A curriculum aligned with global best practices.
  • Practical Learning – Real-world projects and hands-on exercises that enable participants to apply concepts immediately.
  • Flexible Learning – Study while maintaining your professional and personal commitments.
  • Industry-Relevant Skills – Acquire competencies that are immediately applicable in today’s workplace.
  • Career Advancement – Build highly sought-after skills that employers value in the digital economy.

Start Your Data Science Journey Today

Join a growing community of professionals leveraging data to solve problems, drive innovation, and create business value.

Programme Fee: ₦350,000

Short Courses

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We invite you to fill out the form by selecting the program you are interested in. You will receive the brochure and be contacted by a member of the Corporate Education team to further discuss your training needs.

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Student Testimonials

Short Courses

Discover More

We invite you to fill out the form by selecting the program you are interested in. You will receive the brochure and be contacted by a member of the Corporate Education team to further discuss your training needs.

Name
Name