Live project with python and mysql
In this project, you will be working on a real-world dataset to analyze a dataset of user behavior of a highly popular social media platform, Instagram. This project aims on cleaning the dataset, analyze the given dataset, and mine informational quality insights using Python and SQL.
Step by Step Process of Live Project Execution
In this module, you will query the dataset using structured query language to gain insights from the database. The problem statements to be solved will be provided to you, and you will need to provide the solution for the same using your logic. Different concepts of SQL will be used in this process, such as aggregating the data, grouping the data, ordering the data, etc
Task 1: Data Cleaning For Comments
Removing Unwanted Columns and Renaming Appropriate Columns for Improved Analysis:
Data Cleaning for Comments is a process of removing unwanted columns and renaming the appropriate columns in a dataset containing comments. It involves identifying and removing irrelevant or redundant columns and renaming the columns to make them more descriptive and consistent with the content of the dataset. This improves the quality and usability of the data for analysis and modeling purposes.