5. Data Science Lifecycle

Описание: 📌 Video Description

The Data Science Lifecycle is a structured, six-step process that guides how raw data is transformed into actionable insights and deployed solutions. In this video, we walk through each stage of the lifecycle, from understanding business needs to deploying data-driven models in real-world environments.

You’ll learn how data science begins with business requirements, moves through data acquisition and processing, and progresses into exploration, modeling, and deployment. Understanding this lifecycle is essential for building effective, scalable, and business-aligned data science projects.

This lesson is ideal for beginners and anyone looking to understand how data science works in practice.

🎯 The Six Steps of the Data Science Lifecycle

Business Requirements – Define the problem and success criteria

Data Acquisition – Collect relevant data from various sources

Data Processing – Clean, transform, and prepare the data

Data Exploration – Analyze patterns, trends, and relationships

Modeling – Build statistical or machine learning models

Deployment – Implement models into production and monitor results

👨‍💻 Who This Video Is For

Beginners learning data science

Students studying data analytics or AI

Professionals working on data projects

Anyone wanting a structured view of data science

🔑 Keywords (SEO)

Data Science Lifecycle, Data Science Process, Data Science Steps, Data Science Workflow, Business Requirements in Data Science, Data Modeling, Data Deployment, Data Science for Beginners

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#DataScience #DataScienceLifecycle #DataScienceProcess #MachineLearning #DataAnalytics #LearnDataScience #TechFundamentals