How to Effectively Use the Data Science Lifecycle

In this video, I will go over a 7-step model that you can follow to successfully complete your data science projects. This model is often referred to as the data science lifecycle, and I will explain why it's important to understand. Now every data science project and team will be different, and therefore, every specific data science lifecycle is different. However, most data science projects tend to flow through the same general steps. Watch this video next: https://youtu.be/MaIfDPuSlw8 ⏱️ Timestamps 00:00 Introduction 01:14 Case Study 03:29 Business Understanding 05:38 Data Understanding 08:20 Data Preparation 11:31 Exploratory Data Analysis 13:20 Predictive Modeling 18:40 Model Evaluation 21:40 Model Deployment 24:54 Summary 📚 Skool Do you want to create your own online course and community? Then sign up for Skool and get a 14-day free trial — https://www.skool.com/refer?ref=7de009f45992472f977c2d8dd145dad0 🎓 Courses Sign up for Coddy and expand your Python skills — https://coddy.tech/?ref=Ez5dA6 💬 Let's Connect Instagram — https://instagram.com/daveebbelaar LinkedIn — https://linkedin.com/in/daveebbelaar Twitter — https://twitter.com/daveebbelaar Subscribe and hit the bell to see new videos: https://www.youtube.com/channel/UCn8ujwUInbJkBhffxqAPBVQ?sub_confirmation=1