What you'll learn
The basic data types in Python - strings, integers, floats, and Boolean
Python's built-in functions and Python keywords
How to write your first script in Python
How variables and functions work in Python and how to debug errors
How to write your first script in Python and use If-Else statements
Storing complex data, including lists and dictionaries
All about Python modules and how to install them
Installing Python locally and completing your first Python project
Describe the meaning of the object-oriented paradigm and create class hierarchies using the object-oriented design process
Understand the difference between class variable and instance variable as well as the difference between class method, instance method, and static method.
Make an object indexable (like lists), callable (like functions), and comparable (like numbers).
Design and implement Python programs for complex problems, making good use of the language's features such as classes and inheritance.
An overview of Pandas and installing Pandas on your computer
Using the two primary Pandas data structures, Series and DataFrame
Viewing data imported from an external source and organizing input data using indexing and filtering
Using Pandas for data preprocessing and addressing missing values and duplicate rows
Formatting your data most efficiently and processing different data types
Data manipulation using string functions and date and time formatting
Requirements
No prior knowledge of Python required for the Introduction to Python course
A fundamental understanding of basic Python syntax for the Pandas course
Beginner to intermediate knowledge in Python programming for the Object-Oriented Programming course
Access to Python software is beneficial to follow along
Description
**This course bundle includes a Python Project and downloadable course instructor and exercise files to work with and follow along.**
If you need a better tool for handling data, it's time to get to know Python, and this amazing value three-course Python bundle is the perfect place to start.
Python is one of the most popular languages for data analysis and business intelligence, with Pandas as one of the most commonly used Python libraries. At the same time, Object-Oriented Programming is particularly important in Python since every piece of Python code interacts with objects and classes.
The introduction to Python course assumes no prior knowledge and guides you through getting set up and started, with practice exercises and a full project to complete at the end of the course.
Pandas for beginners will introduce you to the basics of data analysis and assumes no previous Pandas experience. But since Pandas is a package built for Python, you need to have a fundamental understanding of basic Python syntax, which you should learn in the first course.
To get the most out of the OOP course, you need to be at an intermediate level in Python programming.
What's included?
Introduction to Python
The basic data types in Python - strings, integers, floats, and Boolean
All about Python's built-in functions
How variables and functions work in Python
How to debug errors in Python
All about Python keywords
How to use If-Else statements in Python
All about storing complex data, including lists and dictionaries
All about Python modules and how to install them
How to install Python locally
How to write your first script in Python
To complete your first Python project
Object-Oriented Programming
Describe the meaning of the object-oriented paradigm and create class hierarchies using the object-oriented design process.
Understand the difference between class variable and instance variable as well as the difference between class method, instance method, and static method.
Make an object indexable (like lists), callable (like functions), and comparable (like numbers).
Design and implement Python programs for complex problems, making good use of the language's features such as classes and inheritance.
Pandas for Beginners
An overview of Pandas
Installing Pandas on your computer
Using the two primary Pandas data structures, Series and DataFrame
Viewing data imported from an external source
Organizing input data using indexing and filtering
Using Pandas for data preprocessing
Addressing missing values and duplicate rows
Formatting your data most efficiently
Processing different data types
Data manipulation using string functions
Date and time formatting
This course bundle includes
11+ hours of video tutorials
70+ individual video lectures
Certificate of completion
Course and exercise files so you can follow along
Who this course is for
People looking to learn the Python Programming Language
Beginner Python developer
Those who want to learn and use Pandas library for Python
Python programmers who want to expand their knowledge and learn object-oriented programming
Data Analysts who wants to use Python
Homepage

https://anonymz.com/?
https://www.udemy.com/course/intro-to-python-programming-bundle/]https://anonymz.com/?
https://www.udemy.com/course/intro-to-python-programming-bundle/

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