Chapter 18: Data Analysis with Python and SQL

 

Welcome to Chapter 18, where we'll focus on the important topic of Data Analysis using Python and SQL. Data Analysis is a critical process in the field of data science and includes tasks such as data cleaning, data transformation, and data visualization. The primary aim of data analysis is to extract useful insights from data which can lead to better decision-making.

SQL is a powerful language for managing and manipulating structured data, and when combined with Python, one of the most popular programming languages for data analysis, we can perform complex data analysis tasks more effectively and efficiently.

In this chapter, we will cover the following topics:

1. Data Cleaning in Python and SQL
2. Data Transformation
3. Data Visualization using Python libraries and SQL
4. Exploratory Data Analysis using Python and SQL
5. Practical exercises to consolidate our understanding

Now let's start with the first topic: 18.1 Data Cleaning...