MASTERING DATA SCIENCE WITH PYTHON PROGRAMMING

16^th-18^th March, 2026                                                                             4^th-6^th May, 2026

29^th-31^st July, 2026                                                                                12^th-14^th October, 2026

Introduction

Python is an open source and cross-platform programming language, that has become increasingly popular over the last ten years. It was first released in 1991.   CPython is the reference implementation of the Python programming language. Written in C, CPython is the default and most widely-used implementation of the language. Python is a multi-purpose programming languages (due to its many extensions), examples are scientific computing and calculations, simulations, web development (using, e.g., the Django Web framework), etc.

Python is a general-purpose language, which means it’s designed to be used in a range of applications, including data science, software and web development, automation, and generally getting stuff done.

A comprehensive Python programming course typically covers fundamentals like syntax and data types,
moves through control flow, functions, and object-oriented principles, and often includes advanced topics such as file handling, modules, and database integration

Python is a general-purpose language, which means it’s designed to be used in a range of applications, including data science, software and web development, automation, and generally getting stuff done

Python developers are responsible for designing, implementing and maintaining software applications.
What is Python? Python is a popular programming language. It was created by Guido van Rossum, and released in 1991. It is used for: web development (server-side),; software development

 Course Contents

Module One: Fundamental Programming Concepts

Initial modules focus on establishing a base for writing and understanding code. 

• Introduction: Setting up development environments like VS Code or PyCharm, and writing a first “Hello World” program.
• Syntax & Variables: Understanding indentation, comments, variable declaration, and basic naming conventions.
• Data Types: Working with integers, floats, booleans, and strings, including type casting and conversion.
• Operators: Arithmetic, logical, comparison, and bitwise operators. 

Module Two: Control Flow and Logic

These topics teach how to build logic into a script. 

• Conditional Statements: Using if, elif, and else for decision-making.
• Loops: Repeating code blocks with for and while loops.
• Functions: Defining and calling functions, handling parameters and arguments, and understanding variable scope (local vs. global). 

Module Three: Data Structures

Learning how to group and manipulate data efficiently. 

• Lists: Creating, indexing, slicing, and modifying ordered collections.
• Tuples: Working with immutable (unchangeable) sequences.
• Dictionaries: Using key-value pairs for structured data.
• Sets: Handling unique, unordered collections. 

Module Four: Advanced Core Python

Standard features for more complex software development. 

• Object-Oriented Programming (OOP): Understanding classes, objects, inheritance, and polymorphism.
• Exception Handling: Using try…except blocks to manage errors gracefully.
• File Handling: Reading from and writing to text or CSV files.
• Modules & Packages: Importing standard libraries and creating custom modules. 

Module Five: Specialized Application Areas

Depending on the course focus, you may encounter these advanced modules:

• Web Development: Frameworks like Django or Flask for building websites.
• Data Science & AI: Using libraries such as NumPy, Pandas, and Matplotlib for data analysis and machine learning.
• Automation & Scripting: Web scraping, interacting with APIs, and automating system tasks. 

Duration: Three (3) days                                                             Fee: N250,000