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Data Analytics, IT-D 527

About this Course: 

This is a hands-on course that focuses on the creation, maintenance, and analysis of large informatics databases. Concepts such as data modeling, probability, linear regression, and statistical data analysis are covered in depth. In addition, this course will use large simulated equities, healthcare, insurance, and banking database systems.

Course Status: 

In progress

Prerequisites: 

Relational Database and SQL experience required for enrollment.

Expected Outcomes: 

Upon completion of this course, participants should be able to:

  • Understand and discuss concepts such as data modeling, probability, linear regression and statistical data analysis
  • Understand large simulated equities, insurance, and banking database systems

Course Outline: 

Creating tables
SQL review
Working with the Internet
Loading samples into tables
Introduction to Quantitative Statistical Systems
Distribution and Introduction to Randomness
Two (or more) Properties of Randomness
Skewness and Kurtosis
Covariance and Correlation Coefficient
Introduction to Regression
Linear Model Analytics

Course Details: 

Grading/CEU award for this course includes assignments, exams, projects, labs and paper.