data-science-and-analytics

Data Science and Analytics

Data science is a broad field focused on building predictive models using advanced techniques like machine learning to answer strategic, future-oriented questions, while data analytics is a narrower discipline that involves interpreting existing, structured data to provide insights and recommendations for past and present performance. Data science encompasses data analytics and other areas like data engineering, and it often involves working with messy, unstructured data, whereas

Lesson: 1
Last Updated 01-12-2025

Curriculum for this course Lesson: 1

Section 1: Data science: An area of expertise Lesson

Lesson 1: Data science: An area of expertise 1
Assignment 1: Data analytics: Tasks to contextualize data
Quiz 1: The data science lifecycle
Exam 1: Data Science Quiz

Description

Data science is a broad field focused on building predictive models using advanced techniques like machine learning to answer strategic, future-oriented questions, while data analytics is a narrower discipline that involves interpreting existing, structured data to provide insights and recommendations for past and present performance. Data science encompasses data analytics and other areas like data engineering, and it often involves working with messy, unstructured data, whereas analytics primarily uses tools like SQL and Excel for structured data.

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