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IND 405

Introduction to Data Science and Analytics

Overview of big data, data science and analytics, the role of the data scientist, analytics lifecycle as an end-to-end process. The course focuses on the main phases of the lifecycle, developing core deliverables for stakeholders, teamwork skills, and problem solving skills. The course aims to provide a strong foundation in Analytics, Tools, and Statistics involving in-class lectures, individual assignments, and team projects to solve a problem, and design a solution.
Weekly Contact: Lab:1 hr. Lecture:3 hrs.
GPA Weight: 1.00
Course Count: 1.00
Billing Units: 1

Prerequisites

MTH 410, CPS 125, CMN 432, CEN 199,

Antirequisites

None

Co-Requisites

None

Custom Requisites

None

Mentioned in the Following Calendar Pages

*List may not include courses that are on a common table shared between programs.

Industrial Engineering

  • IND 108
    Data Analytics for Non-Data Analysts
  • IND 110
    Data Organization for Data Analysts
  • IND 119
    Introduction to Big Data
  • IND 123
    Data Analytics: Basic Methods
  • IND 300
    Introduction to Management
  • IND 303
    Work Measurement, Analysis and Design
  • IND 400
    Facilities Design
  • IND 405
    Introduction to Data Science and Analytics
  • IND 508
    Operations Research I
  • IND 600
    Systems Modeling and Simulation
  • IND 604
    Operations Research II
  • IND 605
    Experimental Design and Quality Assurance
  • IND 708
    Information Systems
  • IND 70A/B
    Industrial Systems Design
  • IND 710
    Production and Inventory Systems
  • IND 712
    Industrial Ergonomics
  • IND 713
    Project Management
  • IND 719
    Big Data Analytics Tools
  • IND 810
    Flexible Manufacturing Systems
  • IND 816
    Service Operations Management
  • IND 832
    Reliability and Decision Analysis
  • IND 833
    Financial Engineering