This course package contains a Python project as well as instructor and exercise files that may be downloaded and used to work with. **

It’s time to learn Python if you need a better tool for managing data, and this incredible value three-course Python package is the ideal place to start.

Object-oriented programming is crucial in Python since every piece of code that uses Python interacts with objects and classes.

The Introduction to Python course makes no assumptions about your prior programming experience. It guides you through setting up and starting, and it includes practice activities and a final assignment to complete.

Pandas for Beginners assumes no prior knowledge of Pandas and will expose you to the fundamentals of data analysis. But because Pandas is a Python module, you need to know the basic syntax of Python, which you should learn in the first course.

You must be an intermediate Python programmer to get the most out of the OOP course.

What is contained?

Python: An Introduction

1. In Python, the fundamental data types are text, integers, floats, and booleans.
2. All about the built-in functions in Python
3. How Python’s variables and functions operate
4. How to fix Python errors
5. Python keywords in general
6. An Introduction to Python If-Else Statements
7. It’s all about storing complicated data, such as dictionaries and lists.
8. The main topics are Python modules and their installation.
9. installation of Python locally.
10. How to create your first Python script
11. to finish your first Python project.

Programming with objects

1. Class hierarchies are created using the object-oriented design process and the object-oriented paradigm, respectively.
2. Know the difference between class methods, instance methods, and static methods, as well as between class variables, instance variables, and static methods.
3. Make an object comparable, callable, and indexable like lists and functions (like numbers).
4. Use Python’s features, like classes and inheritance, to write and run programs that solve hard problems.

Beginners Guide to Pandas:

1. Pandas: A Quick Overview
2. How to install Pandas on a PC
3. Series and DataFrame, the two main Pandas data structures,
4. viewing imported data from a third-party source
5. indexing and filtering raw data to organize it
6. Utilizing Pandas to prepare data
7. addressing duplicate rows and missing data
8. best data formatting practices
9. processing several forms of data
10. Using string functions for data processing
11. Formatting dates and times