Wednesday funny

The irony is that it was this comment that pushed me over the threshold and into level 6: "I can teach you how to turn your $250 into $6,500 in 2hours without sending money to anyone or interrupting your daily activities and it's 100% legitimate and secure TEXT ME IF YOU ARE INTERESTED FOR MORE INFORM WITH THE DETAILS BELOW $$$$." Ah well.. for once it was useful 😂

While not easy, bootstrapping your data science career is possible. Here's an overview of the most important skills and resource suggestions for learning them. https://www.kdnuggets.com/bootstrapping-your-data-science-career-a-guide-to-self-learning-pathways

Hey guys again me. I really love to share my achievement in this platform because we are all like minded people (: https://www.kaggle.com/datasets/alicemtopcu/top-1500-games-on-steam-by-revenue-09-09-2024/code?datasetId=5679841&sortBy=dateRun&tab=profile&excludeNonAccessedDatasources=false this is my first %100 self made data analysis project. it still goes on but I've made many plots and explanations on it. I hope you guys like it. Data Frame is collected by me from https://gamalytic.com and uploaded to kaggle. I opened to public share, if any of you cannot reach or have problem with it, also want to give advice and ask questions I am here for your shots (: Have a great day (:

My goal is to get a job in something related to E-commerce, so I thought about doing 3 projects that could get me closer to my goal, I would like to know your opinion, the projects will go from simpler to more complex. 1) A simple payment, customer management and inventory system. It would consist of a sql database of no more than 20 - 30 tables with things like customers, employees, products, stock, payment methods, etc. and their respective transactions in stored procedures, triggers, security management to avoid sql injections etc, as well as views to filter sensitive customer information etc., and a simple streamlit web app that allows a person to simulate a purchase with their email, payment method (simulated), product, quantity etc. and returns an order detail that can be downloaded, and updates the database automatically. Maybe I could add something here 2) An in-depth analysis of an e-commerce site and generation of models, for things like predicting sales based on historical data, creating recommendation systems, looking for purchasing patterns, bottlenecks etc and analysis on the site, things like churn rate analysis, purchases by device, abandoned carts etc, that kind of thing. Finally show all this in an interactive dashboard in power bi 3) An in-depth trend analysis using big data with pyspark and other tools. Let me know what you think, is this a good idea or should I try something more innovative?