This course is for all the aspiring software developers who have some programming experience in at least of the programming language like Python, C, JavaScript. With this OOPS course you'll be able to solve more complex problems. Design programs which will be capable of managing large amounts of data. Also, learn how to program with graphical user interfaces. These software engineering skillsets are broadly applicable across wide array of industries.
Importance of Python
Describe the basics of the Python programming language
Install Python and write your first program
Use variables and constants to store, retrieve and calculate information
Utilize core programming tools such as functions and loops
Accomplish multi-step tasks like sorting or looping using tuples
Create programs that are able to read and write data from files
Store data as key/value pairs using Python dictionaries
Start with basics of Object Oriented Programming
Understanding class and object
Encapsulation, abstraction, inheritance and polymorphism
Understanding programming concepts in relation to OOPs
Distinguishing Procedural and OOPs: Procedural Programming Vs. Object Oriented Programming
Understanding Objects in OOPs
Understanding Classes in OOPs
Demo: Objects and Classes in OOPs
Understanding Constructors
Understanding Types of Constructors
Introduction to Encapsulation and Abstraction in Python
Use Cases of Encapsulation and Abstraction in Python
Understanding Inheritance in Python
Demo: Use Cases of Inheritance
Understanding Polymorphism in Python
Demo: Use Cases of Polymorphism
Various Functions in Inheritance and Polymorphism
Module Quiz: OOPs
Module Assignment : OOPs
Project: Red Wine - Predicting Qualtiy of Wines
Dealing with Missing Values in Python
Understanding Machine Learning: Use Case Scenarios
Project: Medical Cost Prediction
Python Libraries Guides
Matplotlib: Creating Static, Animated, and Interactive visualizations in Python
Pandas: Analysing Data in Python
*Args And **Kwargs: Passing a variable number of arguments to a Python function
NumPy: Working with Arrays in Python
Sets in Python
Python OOPs Concepts
Exploratory Data Analysis aka EDA on Red Wine Data - Part 2
Exploratory Data Analysis aka EDA on Red Wine Data - Part 1
Python Test Quiz
Tutorial - Seaboar
Python Projects - Stop Watch
H2O Tutorial - Machine Learning Framework
Various Types of Data Distribution
Various Types of Errors in Machine Learning Models
Free
Lifetime Video Access
Certificate of Completion
Quizzes and Assignments
No Prior Experience Required
