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Unit

Linear Regression in Data Science

Qualification

Qualifi Level 3 Diploma in Data Science

Status

ready

Lesson objective

By the end of this lesson, learners will be able to engage with 'Develop an understanding of contemporary and emerging areas of data science, and how they can be applied to modern challenges.' through the context of 'Linear Regression in Data Science', using clear academic reasoning and practical examples.

Related outcomes

Outcome 1

Gain the mathematical and statistical knowledge and understanding required to conduct basic data analysis.

Outcome 2

Develop analytical and machine learning skills with Python.

Outcome 3

Develop a strong understanding of data and data processes, including data cleaning, data structuring, and preparing data for analysis and visualisation.

Outcome 4

Understand the data science landscape and ecosystem, including relational databases, graph databases, programming languages such as Python, visualisation tools, and other analytical tools.

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