🚀 Confused about Data Science vs. Data Analytics? Here’s a quick guide! 🚀
In this video, we’ll provide a clear and concise comparison between data science and data analytics, highlighting their objectives, processes, and roles. Let’s break it down!
💡 Key Differences Covered:
1. Objective:
– Data Science: Aims to predict future trends using machine learning.
2. Process:
– Data Analytics: Focuses on analyzing historical data to uncover insights.
3. Roles:
– Data Scientists: Build predictive models.
– Data Analysts: Interpret data to aid decision-making.
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date 2024-08-06 12:16:03
author UCkikyNKBzbxUI7EXQzsHCAg
views 42
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