Python for Data Science Bootcamp -

The “Python Programming Fundamentals” course is a comprehensive and well-structured introduction to Python programming suitable for beginners. As a student, I found this course to be highly beneficial in helping me grasp the fundamental concepts of Python and lay a solid foundation for further exploration.

Course Information

Estimated Time: 4 Weeks

Difficulty: Beginner

Categories: Data Science LaunchPad

Course Instructor

leapsin Author

Basic Plan

₦70,000.00

Module 1: Introduction to Python

Introduction to programming and Python

Setting up Python environment (installing Python and a code editor/IDE)

Running Python programs

Basic Python syntax and conventions

Module 2: Variables, Data Types, and Operators

Variables and naming conventions

Data types (integers, floats, strings, booleans, lists, tuples, dictionaries, etc.)

Type conversion and casting

Arithmetic, comparison, and logical operators

Module 3: Control Flow

Conditional statements (if, else, elif)

Loops (while loop, for loop)

Loop control statements (break, continue)

Using Python’s built-in functions (range, enumerate, zip, etc.)

Module 4: Functions

Defining and calling functions

Function arguments and parameters

Return values

Scope and lifetime of variables

Module 5: Data Structures

Lists and list manipulation

Tuples and sets

Dictionaries and dictionary manipulation

List comprehensions

Module 6: File Handling

Reading from and writing to files

File modes and handling exceptions

Module 7: Object-Oriented Programming (OOP)

Introduction to OOP

Classes and objects

Attributes and methods

Constructors and destructors

Inheritance and polymorphism

Module 8: Modules and Packages

Creating and using modules

Working with packages

Exploring Python’s standard library

Module 9: Error Handling

Handling exceptions (try, except, finally)

Creating custom exceptions

Module 10: Introduction to Python Libraries

Introduction to popular Python libraries (e.g., NumPy, Pandas, Matplotlib)

New SectModule 11: Introduction to Web Scraping (Optional)

Basics of web scraping using Python’s requests and BeautifulSoup libraries

Module 12: Introduction to Django (Optional)

Basics of web development with Django

Module 13: Introduction to Data Analysis (Optional)

Data manipulation and analysis using Pandas

Module 14: Introduction to Data Visualization (Optional)

Creating plots and charts using Matplotlib

Module 15: Introduction to GUI Programming (Optional)

Basic GUI development using Tkinter