Financial Data Analysis & Business Analysis with SQL

About this course

Welcome to Financial Data Analysis & Business Analysis with SQL course. This is a comprehensive data analysis course where you will learn step by step on how to perform financial analysis, customer segmentation analysis, profitability analysis, budget allocation, and financial growth projection using SQL. This course is a perfect combination between finance and data analytics, making it an ideal opportunity to practice your SQL skills while improving your technical knowledge. In the introduction session, you will learn the basics fundamentals of structured query language, such as getting to know its core functions, use cases, and several examples of relational database management systems. Then, in the next section, you will learn basic SQL queries like select, insert, update, and delete, which are essential for interacting with the database. You will also learn how to filter, sort, and aggregate data, allowing you to extract meaningful insights from financial data. Before starting the project, we will set up the SQLite Online which is the IDE that we will use, in addition, we will also find and download the financial dataset from Kaggle. Once everything is all set, we will begin cleaning the data by handling missing values and converting data types as needed, the objective is to ensure that the dataset is ready for analysis. Afterward, we will conduct more detailed analyses, such as examining sales revenue by country to identify the most profitable markets and exploring sales revenue by product to understand which items contribute the most to total revenue. We will also analyze the impact of discounts on overall sales to determine the effectiveness of different pricing strategies. Following these initial analyses, we will delve into more advanced topics, including budget allocation to optimize expenditure, expense tracking to monitor spending patterns, profitability analysis by product to identify high-performing products, customer segmentation analysis to understand buying behavior, and financial growth p