Delve into foundational Python programming, explore libraries like pandas and Matplotlib, and gain insights into data management, analysis, and visualization with practical projects.

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Python is one of the most popular programming languages for data science and analytics. It’s used across a wide range of industries. It’s easy to learn, highly flexible, and its various libraries can expand functionality to natively perform statistical functions and plotting.

This course is a comprehensive introduction to statistical analysis using Python. You’ll start with a step-by-step guide to the fundamentals of programming in Python. You’ll learn to apply these functions to numerical data. You’ll first look at strings, lists, dictionaries, loops, functions, and data maps. After mastering these, you’ll take a deep dive through various Python libraries, including pandas, NumPy, Matplotlib, Seaborn, and Plotly. You’ll wrap up with guided projects to clean, analyze, and visualize unique datasets using these libraries.

By the end of this course, you will be proficient in data science, including data management, analysis, and visualization.

Introduction to Data Science with Python

## Function to calculate a receipt 

You are a loyal customer, and a store is offering discounts to their loyal customers:
* For a purchase between 0 & 50 CAD, you get a 10 % discount.
* For a purchase between 51 & 100 CAD, you get a 20 % discount.
* For a purchase of more than 100 CAD, you get a 40 % discount.
* On Monday, if you spend more than 50 CAD, you get an additional 10 CAD OFF.

In this task, you need to write a function to calculate how much the customer’s purchase will actually cost after discounts and return that value.


## Solution

# Function to calculate a receipt 

You are a loyal customer, and a store is offering discounts to their loyal customers:
* For a purchase between 0 & 50 CAD, you get a 10 % discount.
* For a purchase between 51 & 100 CAD, you get a 20 % discount.
* For a purchase of more than 100 CAD, you get a 40 % discount.
* On Monday, if you spend more than 50 CAD, you get an additional 10 CAD OFF.

In this task, you need to write a function to calculate how much the customer’s purchase will actually cost after discounts and return that value.


# Solution

Let’s look at the solution to the challenge related to Python essentials.

Introduction

Python Essentials

NumPy: Data Analysis

Pandas: Data Analysis

Matplotlib: Data Visualization

Seaborn: Statistical Data Visualization

Data Visualization with Seaborn for Walmart Sales Projection

Pandas: Data Visualization

Data Visualization with Seaborn for Walmart Sales Projection

Plotly: Interactive Data Visualization

Project 1: Oil vs Banks During Recession

Project 2: Emergency Calls Dataset

In Closing

Solution 2: Python Essentials

Function to calculate a receipt