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  4. Data Mining and Analytics - Grad

Data Mining and Analytics - Grad

This course provides an intro to data analytics, which uses statistical and quantitative analysis, predictive and exploratory models to drive decisions and actions from data. Students learn basic concepts and algorithms for data exploration, data cleaning, predictive modeling, clustering, and text mining. Students will also learn how to use tools to evaluate data models and interpret the results.

Course Overview

Overall Proficiency Level
2 - Intermediate
Course Prerequisites

LIS2780 Database Concepts, LIS3781 Advanced Database Management, LIS3784 Intermediate Database Analysis, or LIS5782 Database Management Systems

Training Purpose
Skill Development
Specific Audience
All
Delivery Method
Classroom
Online, Instructor-Led
Course Location

600 W College Avenue
Tallahassee, FL 32306

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National CAE Designated Institution
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Learning Objectives

  1. Describe and define basic concepts in data mining and analytics.
  2. Describe and define the basic procedure in data mining and analytics.
  3. Explain and use prominent algorithms in data analytics, including predictive analytics, clustering, association rule mining, text mining, and visual analytics.
  4. Explain the process of inferring knowledge and insights from heterogeneous data sources.
  5. Choose appropriate tools and algorithms to solve the data analytics task.
  6. Use data analytics tools with a graphical user interface (e.g., Orange Data Mining) to perform basic data analytics tasks such as data cleaning, data visualization, clustering, association rule mining, predictive modeling, and text mining.
  7. Use Python in Jupyter Notebook to perform basic data analytics tasks such as data cleaning, data visualization, and predictive modeling.
  8. Interpret the results of data analytics while acknowledging their limitations.

Framework Connections

The materials within this course focus on the NICE Framework Task, Knowledge, and Skill statements identified within the indicated NICE Framework component(s):

Competency Areas

Feedback

If you would like to provide feedback on this course, please e-mail the NICCS team at NICCS@mail.cisa.dhs.gov. Please keep in mind that NICCS does not own this course or accept payment for course entry. If you have questions related to the details of this course, such as cost, prerequisites, how to register, etc., please contact the course training provider directly. You can find course training provider contact information by following the link that says “Visit course page for more information...” on this page.

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