Raw Data to Insights: Data Management & Decision Making

Data Science    |    Intermediate
  • 12 Videos | 1h 1m 53s
  • Includes Assessment
  • Earns a Badge
Likes 28 Likes 28
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.

WHAT YOU WILL LEARN

  • 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

IN THIS COURSE

  • Playable
    1. 
    Course Overview
    1m 21s
    UP NEXT
  • Playable
    2. 
    Data-driven Decision Making Framework
    6m 14s
  • Locked
    3. 
    Loading Data into R
    4m 36s
  • Locked
    4. 
    Preparing Data
    3m 28s
  • Locked
    5. 
    Data Correction Approach
    5m 13s
  • Locked
    6. 
    Data Correction Using Simple Transformation
    4m 1s
  • Locked
    7. 
    Data Correction Using Deductive Correction
    4m 3s
  • Locked
    8. 
    Distributed Data Management
    6m 4s
  • Locked
    9. 
    Data Analytics
    7m 29s
  • Locked
    10. 
    Data Analytics Using R
    5m 30s
  • Locked
    11. 
    Predictive Modeling
    4m 24s
  • Locked
    12. 
    Exercise: Correcting and Modelling Data
    4m 30s

EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE

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