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Raw Data to Insights: Data Management & Decision Making

Raw Data to Insights: Data Management & Decision Making


Overview/Description
Expected Duration
Lesson Objectives
Course Number
Expertise Level



Overview/Description

To master data science it is important to take raw data and turn that into insights. In this course you will learn to apply and implement various essential data correction techniques, transformation rules, deductive correction techniques, and predictive modelling using critical data analytical approaches.



Expected Duration (hours)
0.9

Lesson Objectives

Raw Data to Insights: Data Management & Decision Making

  • describe the capabilities and advantages provided with the application of data-driven decision making
  • load data from databases using R
  • demonstrate how to prepare data for analysis
  • recall the concept of data correction using the essential approaches of simple transformation rules and deductive correction
  • implement data correction using simple transformation rules
  • implement data correction using deductive correction
  • describe the various essential distributed data management frameworks used to handle big data
  • describe the approach of implementing data analytics using Machine Learning
  • recognize how to implement exploratory data analysis using R
  • recognize how to implement predictive modelling using Machine Learning
  • correct data using deductive correction, analyze data in R and facilitate predictive modelling with Machine Learning
  • Course Number:
    it_dsrdindj_02_enus

    Expertise Level
    Intermediate