Further Topics in Data Science

Part of Pathway Level 7 Diploma in Data Science. Study this unit through structured learning outcomes, sequenced lessons, and AI-supported academic guidance.

Credits

GLH

150

TQT

Lessons

Learning Outcomes

What learners will be able to demonstrate.

Outcome 1

Perform text mining on social media data. 1.1 Appraise the concepts and techniques used in text mining.

Outcome 2

Develop web pages using the SHINY package. 2.1 Build interpretable dashboards using the SHINY package.

Outcome 3

Apply the Hadoop framework in Big Data 3.1 Evaluate core concepts of Hadoop. Analytics. 3.2 Appraise applications of Big Data Analytics in various industries.

Outcome 4

Evaluate the fundamental concepts of artificial 4.1 Build a simple AI model using common machine learning intelligence. algorithms that support business analysis and decision- making. In comparison with traditional assumptions from business theory.

Outcome 5

Use SQL programming for data analysis. 5.1 Evaluate core SQL for data analytics.

Assessment & Certificate

Complete the unit assessment.

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Take Unit Assessment

AI Lessons

Study in sequence, one lesson at a time.

AI lessons for this unit are being prepared.