Official NUC CCMAS syllabus

DTS 201 — Introduction to Data Science

DTS department course · Nigerian universities

What you'll be able to do (official learning outcomes)

• demonstrate the principles of working with data across distributions, sizes and ranges
• explain from first principles the operations that power data-driven utilities that have transformed the modern computing industry; and
• demonstrate foundational technological processes that enable various data functions

Course contents

Fundamentals of Data Science. Methodology of extracting knowledge from big datasets as well as various tools and platforms for Data Science. What is Data and why is it important? Basic classification of Data (Structured, semi-structured and unstructured data), Scope of Data Science, Steps of Data Science Process: Data collection,…

Source: the Nigerian Universities Commission (NUC) Core Curriculum and Minimum Academic Standards (CCMAS). StudyOps loads this syllabus automatically when you study DTS 201.

More DTS courses

• DTS 204 · Statistical Computing II
• DTS 211 · Introduction to R Programming
• DTS 299 · SIWES I
• DTS 302 · Big Data Computing
• DTS 304 · Data Management I
• DTS 308 · Ethics and Legal Issues in Data Science
• DTS 316 · Probability for Data Science
• DTS 399 · SIWES II
• DTS 403 · Data Visualisation for Data-Driven Decis…
• DTS 404 · Data Management II
• DTS 497 · Final Year Project I
• DTS 498 · Final Year Project II