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Data Science

Turn data into actionable insights and business value. Our data science program covers statistics, data wrangling, and machine learning—empowering you for careers in analytics, research, and decision-making across industries.

Data Science Experience

Transform your analytical mindset into a rewarding career in data science. Our comprehensive bootcamp covers everything from statistical analysis to machine learning, preparing you for roles at leading companies across finance, tech, healthcare, and beyond.

Data Analysis & Visualization

Master Python, Pandas, and visualization tools to uncover insights from data

Machine Learning Mastery

Build predictive models and understand algorithms that power modern AI

Data Engineering Skills

Learn SQL, data pipelines, and cloud platforms for scalable solutions

Business Intelligence

Transform data into actionable business insights and strategic decisions

Why Choose Data Science?

Data science is one of the most sought-after skills in the modern economy. As businesses increasingly rely on data-driven decisions, the demand for professionals who can extract insights from complex datasets continues to soar. Our program prepares you for this exciting field with hands-on projects using real Nigerian business data and industry-standard tools.

What You'll Learn – Data Science

Our program is crafted by data professionals and analysts to teach you the full pipeline—from data collection to storytelling with insights. You'll gain hands-on experience with tools used in industry.

Data Science Core Skills

Data cleaning and manipulation with Pandas
Exploratory data analysis and visualization
Statistical modeling and inference
Machine learning with Scikit-learn
Communicating findings with dashboards and reports

Data Collection & Evaluation

Conducting data interviews and surveys
Identifying key variables and KPIs
Data sourcing and collection strategies
Data validation and cleaning techniques
Experimental design and A/B testing

Dashboarding & Reporting

Creating visual mockups for dashboards
Building interactive data prototypes (e.g., Streamlit, Tableau)
Designing metrics and KPIs for clarity
Responsive data visualization design
Automating reports for mobile/web use

Data Science Tools & Libraries

Jupyter Notebook and Google Colab
Pandas, NumPy, Matplotlib, and Seaborn
SQL and database tools (PostgreSQL, MongoDB)
BI tools like Power BI and Tableau
Collaborative notebooks and code sharing (Kaggle, GitHub)

Insight-Driven Portfolio

Your completed projects will serve as powerful evidence of your ability to derive insights from data. By graduation, you'll have 5–7 polished case studies featuring exploratory analysis, visualizations, and machine learning models—ideal for impressing data teams and recruiters.

Tuition & Dates

Upcoming Cohorts

Cohort #2

September 2025 - February 2026
Weekdays (Mon-Fri), 9:00 AM - 5:00 PM WAT
Early Bird Active

Cohort #3

March 2026 - August 2026
Weekdays (Mon-Fri), 9:00 AM - 5:00 PM WAT
Upcoming

Payment Options

Full Payment

₦400,000

Save ₦20,000

  • Complete bootcamp access
  • 26-week intensive program
  • Live instruction & mentorship
  • Career support
  • Certificate of completion

Installment Plan

₦140,000 × 3

Total: ₦420,000

  • Complete bootcamp access
  • 26-week intensive program
  • Live instruction & mentorship
  • Career support
  • Certificate of completion

Early Bird Discount Available

Register early and you could be eligible for a ₦10,000 discount on your tuition fees! Terms and Conditions apply, though.

Hands-on Projects

Build practical, insight-driven projects that showcase your ability to work with data, build models, and tell compelling stories with results.

Exploratory Data Analysis (EDA)

Analyze a public dataset and create a data-driven narrative.

Key Deliverables:

  • Data cleaning and transformation
  • EDA report with visualizations
  • Key trends and outlier analysis
  • Python notebook with documentation

Sales Forecasting Model

Build and evaluate a time-series forecasting model for a retail dataset.

Key Deliverables:

  • Feature engineering
  • ARIMA or regression model
  • Forecast visualization
  • Model evaluation metrics (RMSE, MAE)

Interactive Dashboard

Design a business intelligence dashboard for data storytelling.

Key Deliverables:

  • Power BI or Tableau dashboard
  • Metrics and KPIs setup
  • Interactivity with filters and drill-downs
  • Executive summary of insights

Career Preparation

Our comprehensive career support prepares you for success in the competitive data science industry with portfolio reviews, interview preparation, and job placement assistance.

Data Analyst

₦3M - ₦6M annually

Analyze datasets and communicate insights through reports and dashboards

Data Scientist

₦5M - ₦10M annually

Build predictive models and support decision-making with machine learning

Machine Learning Engineer

₦6M - ₦13M annually

Design and deploy ML models into scalable production environments

Portfolio Development Support

Portfolio Reviews

Regular one-on-one sessions with senior data scientists to refine your data portfolio

Interview Preparation

Mock data challenges, SQL tests, and technical interview training

Industry Connections

Access to our network of hiring managers and data science leaders

Ongoing Support

Career guidance and mentorship even after graduation

Admissions Process

We welcome analytical individuals from all backgrounds. No prior data science experience is required - just passion for uncovering insights and solving problems with data.

Analytical Background

Interest in data, analytics, or quantitative fields (portfolio not required)

Time Commitment

Ability to dedicate 15-20 hours per week for 6 months

What We Look For in Applicants

Creative curiosity and willingness to learn

Attention to detail and aesthetic sensibility

Problem-solving mindset and user empathy

Commitment to completing the intensive program

Student Success Stories

Our data science graduates are now working at leading tech companies across Nigeria and globally, transforming businesses through data-driven insights.

KC
"I used to be an Excel analyst. After this bootcamp, I built dashboards, trained models, and presented results with confidence. That helped me get into a data role at GTBank."
Kelechi Chima
Data Analyst at GTBank
GTBank
Career upgrade to data science
DA
"The machine learning project I completed impressed my interviewer. I even open-sourced it on GitHub. This course gives you the portfolio and the confidence to stand out."
Damilola Adebayo
Data Scientist at Paga
Paga
Portfolio project success
NI
"What set this program apart was the focus on communication—how to tell stories with data. That's exactly what employers look for."
Nini Idowu
Business Intelligence Analyst at Flutterwave
Flutterwave
Data storytelling mastery

Frequently Asked Questions

Have questions about our Data Science bootcamp? Here are answers to the most common questions from prospective students.

Not necessarily! While it helps to have some familiarity with basic math and analytical thinking, many of our successful graduates come from non-technical backgrounds—finance, marketing, education, and more. The first 2 weeks of the program are designed to get everyone on the same level with Python fundamentals.

Ready to Start Your Data Science Journey?

Join our next cohort and transform your analytical skills into a rewarding career in data science.