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



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



Last Updated 9/2022