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Ever wondered how a data scientist turns a mess of spreadsheets and databases into a multi-million dollar business insight? In this video, we break down the Data Science Process—the systematic workflow professionals use to solve real-world problem Whether you're an aspiring data scientist or a business leader, understanding this lifecycle is crucial. We’ll cover everything from framing the business problem to deploying a machine learning model. 🚀 What we’ll cover: *Business Understanding: Why asking the right question is $90\%$ of the work. *Data Acquisition: How to gather data from APIs, SQL, and web scraping. *Data Cleaning: The "secret" work where data scientists spend $80\%$ of their time. *Exploratory Data Analysis (EDA): Finding patterns and outliers with visualization. *Modeling & Evaluation: Training algorithms and checking if they actually work. *Deployment & Communication: Presenting findings to stakeholders and putting models into production. If you found this breakdown helpful, make sure to Subscribe for more tutorials on Python, Machine Learning, and Career Advice! 🔔 Turn on notifications so you never miss a deep dive. #datasciencetutorial #machinelearning #dataanalytics #DataScienceProcess #pythonfordatascience #techcareers #DataScientistWorkflow