Data Analysis Project | Large Scale Data Analysis | Switching from Pandas to FireDucks
Exploratory data analysis (EDA) is an important skill for AI as well as data analytics aspirants. In this data analysis project, we will perform large-scale data analysis on online retail sales data. We will also analyze 32 million transactions first using pandas and then speed things up using fireducks which is a compiler accelerated dataframe library fully compatible with pandas API. Fireducks library: https://fireducks-dev.github.io/ Code: https://github.com/codebasics/project-da-online-retail-pandas ⭐️ Timestamps ⭐️ 00:00 Introduction 00:51 Project Overview 01:33 Data Cleaning 20:03 Sales Analysis 32:29 Customer Segmentation 42:54 Churn Analysis 45:12 Large Scale Data Analysis using Fireducks Do you want to learn technology from me? Check https://resources.codebasics.io/pGlFQe for my affordable video courses. Need help building software or data analytics/AI solutions? My company https://www.atliq.com/ can help. Click on the Contact button on that website. 🎥 Codebasics Hindi channel: https://www.youtube.com/channel/UCTmFBhuhMibVoSfYom1uXEg #️⃣ Social Media #️⃣ 🧑🤝🧑 Discord for Community Support: https://discord.gg/r42Kbuk 📸 Codebasics' Instagram: https://www.instagram.com/codebasicshub/ 📝 Codebasics' Linkedin : https://www.linkedin.com/company/codebasics/ ------ 📝 Dhaval's Linkedin : https://www.linkedin.com/in/dhavalsays/ 📝 Hem's Linkedin: https://www.linkedin.com/in/hemvad/ 📽️ Hem's Instagram for daily tips: https://www.instagram.com/hemvadivel/ 📸 Dhaval's Personal Instagram: https://www.instagram.com/dhavalsays/ 🔗 Patreon: https://www.patreon.com/codebasics?fan_landing=true