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Data analysis course work - Excellent Essay Services - Affordable Essays (Dissertations) Writing Services

Data Analytics Core Curriculum

The core focuses on principles that are fundamental to all areas of data analysis and consists of the courses taken from all majors. In these courses, students examine the computational, mathematical and statistical basics of data analyzes and develop critical thinking and communication capabilities.

Grade Planning Resources

To help in the course planning and planning, use the core runner flowchart [PDF], the Sample-4 Year Grade Plan [PDF] and the consulting schedules [PDF]. These documents characterize the probable structure in the core curriculum and show how students flow the required courses for the data analysis major. They should only be used as guides. Semester offers can change.

Core Educational Goals

A student showing a bachelor of science graduation with a major in Data Analytics shows:

  • An understanding and the ability to apply computer science principles related to data representation, retrieval, programming and analysis.
  • An understanding and the ability to apply mathematical and statistical models and concepts to identify patterns in data and draw conclusions and conclusions through data.
  • Critical thinking capabilities associated with problem identification, problem solving and decision-making, data supported by data and generation of a logical synthesis of information from data.
  • The ability to apply knowledge that is gained from an area to problems and data in another.
  • the ability to communicate insights and their effects and to effectively apply them to the organizational settings.

Mathematical requirements

The mathematical requirements for the data analysis major are:

  • Math 1151: Calculus I
  • Math 1152: Calculus II

As considered on the general education (GE), the site, Math 1151 and 1152, also meet the GE requirements.

CSE requirements

Core Requirements

All students in the data analysis major must complete the following 51 credit hours from the core requirements.

  • CSE 2221: Software I, Software Components
  • CSE 2231: Software II, Software Development and Design
  • CSE 2321: Foundations I, Discrete Structures
  • choose one the following
    • CSE 2421: Systems I: Introduction to the low-level programming and computer organization
    • CSE 3430: Overview of computer systems for non-majors
  • math 2568: linear algebra
  • CSE 3241: Introduction to Database Systems
  • STAT 3201: Introduction to the likelihood of data analysis
  • STAT 3202: Introduction to Statistical Inference for Data Analytics
  • stat 3301: Statistical modeling for discovery i
  • STAT 3302: Statistical Modeling for Discovery II
  • STAT 3303: Bayesian analysis and statistical decision-making
  • ISE 3230: System Modeling and Optimization for Analytics
  • STAT 4620: Introduction to Statistical Learning
  • choose one the following
    • CSE 5242: Advanced Database Management Systems
    • CSE 3244: Data Management in the Cloud
  • CSE 5243: Introduction to Data Mining
  • visualization: select one the following
    • CSE 5544: Introduction to the scientific visualization
    • ISE 5760: Visual Analysis and Sensing

Tags: services, essay, analysis, work, excellent, course, data

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