IE 6600. Computation and Visualization for Analytics (4 Hours)

Course Outline:

1. Introduction to Computation in Data Analytics

• • Basics of Python and R programming languages
  • Application of programming in data analytics

1. Visualization Tools and Techniques

• • Principles of data visualization
  • Overview of static and interactive visualization techniques

1. Data Exploration and Knowledge Discovery

• • Techniques for exploring large datasets
  • Discovering patterns and insights in data

1. Data Storytelling

• • Communicating insights through storytelling
  • Effective presentation of data findings

1. Decision Making in Engineering, Healthcare Operations, and Manufacturing

• • Application of data analytics in specific domains
  • Case studies and real-world examples

1. Python and R for Data Mining and Visualization

• • Advanced data mining techniques using Python and R
  • Visualization tools in Python and R

Assignments and Assessments:

• Coding assignments in Python and R
• Data visualization projects
• Case study analysis
• Midterm exam
• Final project: Data analytics and visualization project in a chosen domain

Lesson Summary

Course Outline:

• Introduction to Computation in Data Analytics
• Basics of Python and R programming languages
• Application of programming in data analytics
• Visualization Tools and Techniques
• Principles of data visualization
• Overview of static and interactive visualization techniques
• Data Exploration and Knowledge Discovery
• Techniques for exploring large datasets
• Discovering patterns and insights in data
• Data Storytelling
• Communicating insights through storytelling
• Effective presentation of data findings
• Decision Making in Engineering, Healthcare Operations, and Manufacturing
• Application of data analytics in specific domains
• Case studies and real-world examples
• Python and R for Data Mining and Visualization
• Advanced data mining techniques using Python and R
• Visualization tools in Python and R

Assignments and Assessments:

• Coding assignments in Python and R
• Data visualization projects
• Case study analysis
• Midterm exam
• Final project: Data analytics and visualization project in a chosen domain

Lesson Summary

This course, IE 6600 - Computation and Visualization for Analytics, is a four-hour course that covers the fundamentals of computation and visualization in data analytics. The course focuses on the basics of programming in Python and R, and their applications in data analytics.

Course Outline:

• Introduction to Computation in Data Analytics
• Basics of Python and R programming languages
• Application of programming in data analytics
• Visualization Tools and Techniques
• Principles of data visualization
• Overview of static and interactive visualization techniques
• Data Exploration and Knowledge Discovery
• Techniques for exploring large datasets
• Discovering patterns and insights in data
• Data Storytelling
• Communicating insights through storytelling
• Effective presentation of data findings
• Decision Making in Engineering, Healthcare Operations, and Manufacturing
• Application of data analytics in specific domains
• Case studies and real-world examples
• Python and R for Data Mining and Visualization
• Advanced data mining techniques using Python and R
• Visualization tools in Python and R

Assignments and Assessments:

• Coding assignments in Python and R
• Data visualization projects
• Case study analysis
• Midterm exam
• Final project: Data analytics and visualization project in a chosen domain

This course provides a comprehensive overview of computation and visualization in data analytics, with a focus on practical application and real-world examples. Students will gain skills in programming, data exploration, data storytelling, and decision making in various domains. Assignments and assessments will help reinforce the concepts learned throughout the course.