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Data Science

Data Science

Master data science from fundamentals to advanced machine learning. Learn to analyze data, build predictive models, and derive actionable business insights.

8 months
500+ enrolled
4.9 rating

Course Details

Duration:8 months
Level:Beginner to Advanced
Format:Hybrid (Online + In-Person)
Start Date:September 20, 2025
Location:Gwarinpa, Abuja
Investment:₦350,000

Data Science Tools You'll Master

Learn industry-standard tools used by data scientists at top tech companies

Python
R
SQL
Jupyter Notebook
Pandas
NumPy
Scikit-learn
TensorFlow
PyTorch
Tableau
Power BI
Apache Spark
AWS
Google Cloud
Git

Course Curriculum

Comprehensive data science training from statistics to machine learning deployment

Module 1: Data Science Fundamentals

4 weeks

5 topics
  • Introduction to Data Science
  • Statistics & Probability
  • Python Programming Basics
  • Data Types & Structures
  • Exploratory Data Analysis

Module 2: Data Manipulation & Analysis

5 weeks

5 topics
  • Pandas & NumPy Mastery
  • Data Cleaning & Preprocessing
  • Feature Engineering
  • Data Visualization with Matplotlib/Seaborn
  • Statistical Analysis & Hypothesis Testing

Module 3: Machine Learning Fundamentals

6 weeks

5 topics
  • Supervised Learning Algorithms
  • Unsupervised Learning & Clustering
  • Model Selection & Evaluation
  • Cross-validation & Hyperparameter Tuning
  • Ensemble Methods & Random Forests

Module 4: Advanced Machine Learning

5 weeks

5 topics
  • Deep Learning & Neural Networks
  • Natural Language Processing
  • Computer Vision Basics
  • Time Series Analysis & Forecasting
  • Recommender Systems

Module 5: Big Data & Cloud Platforms

4 weeks

5 topics
  • SQL & Database Management
  • Big Data Tools (Spark, Hadoop)
  • Cloud Platforms (AWS, Google Cloud)
  • Data Pipelines & ETL Processes
  • Model Deployment & MLOps

Module 6: Business Intelligence & Projects

4 weeks

5 topics
  • Business Intelligence & Dashboards
  • A/B Testing & Experimentation
  • Data Ethics & Privacy
  • Capstone Project Development
  • Portfolio Building & Career Prep

What You'll Achieve

Graduate with skills to extract insights and build intelligent systems from data

Analyze complex datasets and extract meaningful insights

Build and deploy machine learning models for prediction

Create compelling data visualizations and dashboards

Design and implement data pipelines and ETL processes

Apply statistical methods to solve business problems

Communicate data findings to technical and non-technical audiences

Meet Your Instructors

Learn from data science leaders building AI systems at global scale

Dr. Chioma Nwosu

Senior Data Scientist

Google

10+ years experience

Adebayo Falade

Head of Analytics

Jumia Technologies

12+ years experience

Student Success Stories

Hear from data scientists building intelligent systems across Africa

"This program gave me the technical skills and business acumen to build fraud detection models that protect millions of transactions daily across Africa."

Kemi Adeyemi
Data Scientist at Paystack

"From Excel analyst to machine learning engineer - this course transformed my career. I now build AI systems that help developers worldwide be more productive."

Samuel Okonkwo
ML Engineer at Andela

Ready to Unlock the Power of Data?

Join the data revolution and build intelligent systems that drive business decisions.