Python Intermediate with OOP

About Course

Class Starts: 15th December, 2024

Days: 2 days in a week (Every Friday & Saturday)

Number of Classes: 24

Course overview:

Step into programming with Python, one of the most popular and beginner-friendly languages! This course is designed to take you from Python fundamentals to an intermediate level through hands-on learning. By the end, you’ll confidently apply Python skills to real-world projects. Whether you’re a beginner or have some experience, this course will strengthen your foundation and prepare you for intermediate Python development. From learning how to write your first line of code to creating interactive programs, this course will build your confidence as a coder and ignite your passion for technology.

What We Teach :

Comprehensive Curriculum: Master Python’s syntax, data types, and functions. Manipulate strings and use operators to control program flow.
Data Structures: Explore key Python data structures such as lists, tuples, and dictionaries while developing problem-solving skills.
Object-Oriented Programming (OOP): Understand OOP concepts including classes, objects, inheritance, encapsulation, polymorphism, and abstraction, reinforced through practical challenges.
Hands-On Projects: Apply skills in five engaging projects: CLI Calculator, Personal Budget Tracker, Library Management System, Quiz Application, and Contact Book.
Introduction to Machine Learning: Gain foundational knowledge in ML concepts and work on two projects: a Classification Project and a Regression Project.
Data Analysis Basics: Learn to load, clean, and analyze datasets using pandas, along with basic visualization techniques.
Problem Solving Focus: Develop analytical skills with dedicated classes that challenge you to apply your knowledge creatively.
Supportive Learning Environment: Enjoy weekly support sessions with mentors available to address your questions and guide you through challenges.
Flexible Schedule: Classes will be held 2 days a week on Friday and Saturday only for balanced learning and ample practice time.

Skills You Will Gain:

Problem-Solving Skills: Tackle coding challenges with ease and creativity.
Logical Thinking: Learn to think like a programmer and create efficient solutions.
Project Building: Create fun and interactive programs from scratch.
Coding Confidence: Develop a solid foundation in Python and grow your coding skills.
Digital Proficiency: Equip yourself with coding skills that open doors to future opportunities.

Why you should enroll here?

Course Content

Introduction to Python, Data Types, Variables, and Basic Functions

Learn Python’s basic syntax, data types, variables, and simple functions.

00:00

Strings, String Methods, and Operators

Conditionals (if, elif, else)

Loops: For and While

Lists and List Functions

Problem Solving with Loops and Lists

Tuples, Dictionaries, and Their Functions

Functions in Python

Advanced Functions: Arguments and Return Values

Problem Solving with Dictionaries and Functions

Introduction to Object-Oriented Programming (OOP)

Creating and Working with Classes

OOP Concepts: Inheritance and Encapsulation

OOP Concepts: Polymorphism and Abstraction

OOP Practice with Mini Challenges

Project 1: CLI Calculator with OOP

Project 2: Personal Budget Tracker

Project 3: Library Management System

Project 4: Quiz Application with Randomized Questions

Project 5: Contact Book with CRUD Operations

Introduction to Machine Learning and Data Preprocessing

Project 6: Classification Project: Building a Simple Classifier

Project 7: Regression Project: Predicting Numerical Values

Intro to Data Analysis Project

Student Ratings & Reviews

5.0

Total 1 Rating

1 Rating

0 Rating

Shakil Ahmed

2 months ago

I used to watch their live videos on their page. They are teaching really well and their support system is really helpful.

About Course

Course overview:

What We Teach :

Skills You Will Gain:

Why you should enroll here?

What Will You Learn?

Course Content

Introduction to Python, Data Types, Variables, and Basic Functions

Learn Python’s basic syntax, data types, variables, and simple functions.

Strings, String Methods, and Operators

Understand string methods, arithmetic, and logical operators, and practice using them in code.

Conditionals (if, elif, else)

Learn how to control program flow using conditional statements.

Loops: For and While

Learn and compare for and while loops, with loop control mechanisms like break and continue.

Lists and List Functions

Explore lists, indexing, and list methods like append, pop, and remove.

Problem Solving with Loops and Lists

Practice solving problems using loops and lists to build confidence in combining concepts.

Tuples, Dictionaries, and Their Functions

Learn about tuples, dictionaries, immutability, and dictionary functions for managing key-value pairs.

Functions in Python

Learn to define, call, and use functions effectively in Python.

Advanced Functions: Arguments and Return Values

Explore function arguments, return values, and scope for more flexible functions.

Problem Solving with Dictionaries and Functions

Apply dictionary and function operations in problem-solving to strengthen analytical skills.

Introduction to Object-Oriented Programming (OOP)

Get introduced to OOP concepts, focusing on classes and objects.

Creating and Working with Classes

Learn to create classes with attributes and methods, and understand the basics of class interactions.

OOP Concepts: Inheritance and Encapsulation

Explore inheritance to extend class functionality and use encapsulation to control access to data.

OOP Concepts: Polymorphism and Abstraction

Dive into polymorphism to use methods interchangeably and understand abstraction to simplify complex code.

OOP Practice with Mini Challenges

Apply learned OOP concepts through small coding exercises (like class hierarchies or data models) to solidify skills.

Project 1: CLI Calculator with OOP

Develop a command-line calculator using OOP, focusing on class organization and modularity.

Project 2: Personal Budget Tracker

Create a budget-tracking tool with classes for managing income, expenses, and savings, introducing file handling.

Project 3: Library Management System

Design a library system to manage book loans and returns, using multiple classes and dictionaries for storage.

Project 4: Quiz Application with Randomized Questions

Build a quiz app with question banks, randomization, and scoring, reinforcing OOP and file handling.

Project 5: Contact Book with CRUD Operations

Create a contact book with add, edit, delete, and search features, practicing CRUD operations and data storage.

Introduction to Machine Learning and Data Preprocessing

Overview of ML basics, including loading, cleaning, and preprocessing data.

Project 6: Classification Project: Building a Simple Classifier

Create a basic classification model with scikit-learn, covering model training, prediction, and evaluation.

Project 7: Regression Project: Predicting Numerical Values

Build a simple regression model to predict values, further exploring scikit-learn for ML tasks.

Intro to Data Analysis Project

Use pandas to load and analyze a dataset, introducing basic data analysis and visualization.

Student Ratings & Reviews

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