Raw Data to Insights: Data Management & Decision Making

Data Science    |    Intermediate
  • 12 videos | 56m 53s
  • Includes Assessment
  • Earns a Badge
Rating 4.4 of 54 users Rating 4.4 of 54 users (54)
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

  • 1m 21s
  • 6m 14s
    After completing this video, you will be able to describe the capabilities and advantages provided by data-driven decision making. FREE ACCESS
  • Locked
    3.  Loading Data into R
    4m 36s
    In this video, you will learn how to load data from databases using R. FREE ACCESS
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    4.  Preparing Data
    3m 28s
    In this video, you will learn how to prepare data for analysis. FREE ACCESS
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    5.  Data Correction Approach
    5m 13s
    Upon completion of this video, you will be able to recall the concept of data correction using the essential approaches of simple transformation rules and deductive correction. FREE ACCESS
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    6.  Data Correction Using Simple Transformation
    4m 1s
    Learn how to implement data correction using simple transformation rules. FREE ACCESS
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    7.  Data Correction Using Deductive Correction
    4m 3s
    In this video, find out how to implement data correction using deductive reasoning. FREE ACCESS
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    8.  Distributed Data Management
    6m 4s
    Upon completion of this video, you will be able to describe the various essential distributed data management frameworks used to handle big data. FREE ACCESS
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    9.  Data Analytics
    7m 29s
    Upon completion of this video, you will be able to describe the approach of implementing data analytics using Machine Learning. FREE ACCESS
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    10.  Data Analytics Using R
    5m 30s
    Upon completion of this video, you will be able to recognize how to implement exploratory data analysis using R. FREE ACCESS
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    11.  Predictive Modeling
    4m 24s
    Upon completion of this video, you will be able to recognize how to implement predictive modelling using Machine Learning. FREE ACCESS
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    12.  Exercise: Correcting and Modelling Data
    4m 30s
    In this video, you will learn how to correct data using deductive correction, analyze data in R, and facilitate predictive modeling with Machine Learning. FREE ACCESS

EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE

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