Data Science

Learn how data scientists transform raw data into actionable insights and intelligent solutions. You'll gain hands-on skills in Python programming, data analysis, visualization, databases, and machine learning. The course is designed to take you from beginner to industry-ready, with real-world projects that build your portfolio and problem-solving confidence.

Course Overview

The Data Science course is your hands-on journey into how data scientists transform raw data into actionable insights and intelligent solutions. Over four months, you will go from beginner-friendly Python to building real machine learning models that solve real problems.

You will gain practical skills in Python programming, data analysis, visualization, databases, and machine learning. The course is designed to take you from beginner to industry-ready, with real-world projects that build your portfolio and your problem-solving confidence.

Who This Course Is For

Aspiring data scientists and ML practitioners
Data analysts ready to step up into modelling and prediction
Software engineers transitioning into data and AI roles
Researchers and domain experts who want to leverage data

What You Will Learn

Python programming for data science
Data wrangling and analysis with Pandas and NumPy
Data visualization with Matplotlib, Seaborn, and modern BI tools
Statistics and probability foundations for data science
Working with SQL databases and large datasets
Core machine learning algorithms and model evaluation
Introduction to deep learning and AI workflows
Building and presenting end-to-end data science projects

Course Outcomes

By the end of the course, you will be able to take a real-world business problem, frame it as a data problem, build and evaluate models, and communicate the impact clearly to stakeholders. You will graduate with a portfolio of data science projects ready for technical interviews.

Requirements

A laptop with at least 8GB of RAM and a stable internet connection. Some prior comfort with basic programming or data analysis is recommended.Learn how data scientists transform raw data into actionable insights and intelligent solutions. Gain hands-on skills in Python, SQL, data visualization, and machine learning. This course takes you from beginner to industry-ready with real-world projects that build your portfolio and problem-solving confidence.

Key things you’ll learn

1
Foundations of Data Science: Understand data types, data collection, cleaning, wrangling, and essential statistical concepts.
2
Programming for Data Science: Build strong foundations in Python and its core data libraries NumPy, Pandas, and Matplotlib for analysis and automation.
3
Data Visualization: Learn to communicate insights effectively with charts, plots, and visual storytelling using Matplotlib and Seaborn.
4
Machine Learning Essentials: Get hands-on with algorithms for regression, classification, clustering, and recommendation systems, plus learn model evaluation and optimization using Scikit-Learn.
5
Databases & SQL: Master querying, managing, and analyzing structured datasets with SQL and database integration.
6
Big Data & Cloud Tools: Introduction to modern tools like Hadoop and Spark for handling large-scale data efficiently.
7
AI & Deep Learning Basics: Explore the fundamentals of neural networks, natural language processing (NLP), and computer vision with simple deep learning models.
8
Capstone Projects: Apply all your knowledge by working on real datasets ranging from business analytics to predictive modeling, building projects you can showcase to employers.

Course Details

Price: ₦500,000
Duration: 4 Months
Level: Advanced
Category: Coding
Requirement: Laptop (8GB RAM Minimum)

Apply for Data Science

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