• Online, Self-Paced
Course Description

To master data science, it is important to turn raw data into insights. In this 12-video course, you will learn to apply and implement various essential data correction techniques, transformation rules, deductive correction techniques, and predictive modeling using critical data analytical approaches by using R. The key concepts in this course include: the capabilities and advantages of the application of data-driven decision making; loading data from databases using R; preparing data for analysis; and the concept of data correction, using the essential approaches of simple transformation rules and deductive correction, Next, examine implementing data correction using simple transformation rules and deductive correction; the various essential distributed data management frameworks used to handle big data; and the approach of implementing data analytics using machine learning. Finally, learn how to implement exploratory data analysis by using R; to implement predictive modeling by using machine learning; how to correct data with deductive correction; and how to analyze data in R and facilitate predictive modeling with machine learning.

Learning Objectives

To master data science, it is important to turn raw data into insights. In this 12-video course, you will learn to apply and implement various essential data correction techniques, transformation rules, deductive correction techniques, and predictive modeling using critical data analytical approaches by using R. The key concepts in this course include: the capabilities and advantages of the application of data-driven decision making; loading data from databases using R; preparing data for analysis; and the concept of data correction, using the essential approaches of simple transformation rules and deductive correction, Next, examine implementing data correction using simple transformation rules and deductive correction; the various essential distributed data management frameworks used to handle big data; and the approach of implementing data analytics using machine learning. Finally, learn how to implement exploratory data analysis by using R; to implement predictive modeling by using machine learning; how to correct data with deductive correction; and how to analyze data in R and facilitate predictive modeling with machine learning.

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):

Specialty Areas

  • Data Administration