Python Programming Bundle: Intro to Python, Pandas, and OOP

About Python Programming Bundle: Intro to Python, Pandas, and OOP

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This course bundle includes a Python Project and downloadable course instructor and exercise files to work with and follow along.

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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:

1.

11+ hours

of video tutorials 2.

70+ individual video

lectures 3.

Certificate of completion

4.

Course and exercise files

so you can follow along