Course Description
This course will introduce students to this rapidly growing field of data science and analytics and equip them with some of its basic principles and tools as well as its general mindset. Students will learn concepts, techniques and tools they need to deal with various facets of data science and analytics practices, including data collection and integration, exploratory data analysis, predictive modeling, descriptive modeling, data product creation, evaluation, and effective communication. Emphasis will be placed on integration and synthesis of concepts and their application to solving problems. To contextualize learning in this course, real or production datasets from variety of disciplines shall be explored.
Course ID: ARTI 405
| Credit hours | Theory | Practical | Laboratory | Lecture | Studio | Contact hours | Pre-requisite | 3 | 3 | 3 | ARTI 303, ARTI 308 |
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Published on: 05 October 2023
Last update on: 13 February 2025
Page views: 1450
