Data Science

Data Science

Become a data scientist. Master the complete data science workflow from problem framing to model deployment, combining statistics, programming, machine learning, and business acumen.

Enroll Free ← Back to Courses
Data Science
Course Overview

What You'll Learn

  • Statistical foundations: probability, distributions, and inference
  • Python for data science: Pandas, scikit-learn, TensorFlow
  • Exploratory data analysis (EDA) and feature engineering
  • Machine learning model development and evaluation
  • Time series analysis and forecasting
  • A/B testing and experimental design
  • Model deployment with Flask and cloud platforms
  • Communicating data science results to business stakeholders

Course Details

LevelIntermediate
Duration20 Weeks
FormatLive Online + Recorded
Certificate✓ Yes
LanguageEnglish
PriceFree
Enroll Now — It's Free
Curriculum

Course Modules

A structured, hands-on curriculum designed around real industry skills — not just theory.

Module 1: Statistics & Probability
  • Descriptive statistics and data distributions
  • Probability theory and Bayes' theorem
  • Statistical testing: t-tests, ANOVA, chi-square
  • Confidence intervals and p-values
Module 2: Python Data Science Stack
  • Pandas for data manipulation
  • NumPy for numerical computation
  • Matplotlib and Seaborn for visualisation
  • Jupyter notebooks for reproducible analysis
Module 3: Exploratory Data Analysis
  • Data profiling and quality assessment
  • Correlation analysis and heatmaps
  • Outlier detection techniques
  • Feature engineering and transformation
Module 4: Machine Learning
  • Regression and classification algorithms
  • Model evaluation: accuracy, precision, recall, F1, AUC-ROC
  • Cross-validation and bias-variance trade-off
  • Ensemble methods: bagging, boosting
Module 5: Advanced Topics
  • Time series: ARIMA, seasonal decomposition, Prophet
  • Experiment design and A/B testing
  • Recommendation systems (collaborative filtering)
  • Explainable AI (XAI) with SHAP
Module 6: Deployment Capstone
  • Frame a real business problem
  • Conduct end-to-end analysis
  • Build and evaluate a predictive model
  • Deploy as a REST API with Flask on AWS/GCP
Right Fit

Who This Course Is For

📈
Analysts
Business and data analysts ready to move into a full data science role.
🔬
Academics
Researchers applying data science methods to academic or industry research problems.
💻
Engineers
Software engineers who want to integrate data science into their product development workflow.
Your Instructor

Meet Your Instructor

Instructor
Chukwuemeka Adeyemi
Lead Data Science Instructor

A data scientist and academic researcher with 9 years of applied experience in healthcare analytics, financial modelling, and recommendation systems across Africa and Europe.

Student Reviews

What Our Students Say

★★★★★

"Thanks to H-Tech Innovations Hub, our workforce has been armed with highly relevant and in-demand tech skills — enabling consultants to stay ahead of big data trends."

Hassan Gray
Hassan Gray
Mobile Developer
★★★★★

"With H-Tech Innovation Hub, employees were able to marry technology and consultant soft skills. Once they took their key IT courses — the results were outstanding."

Emeka Obi
Emeka Obi
Cloud Engineer, Lagos
Keep Learning

Related Courses

AI & Machine Learning
AI
AI & Machine Learning
FreeView Course →
Data Engineering
Data
Data Engineering
FreeView Course →
Data Analytics
Analytics
Data Analytics
FreeView Course →

Ready to Start Learning Data Science?

Join thousands of students across West Africa learning in-demand tech skills — completely free.

Enroll Free Now Browse All Courses