Data Preprocessing

Predictive Analytics    |    Intermediate
  • 7 Videos | 25m 15s
  • Includes Assessment
  • Earns a Badge
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Predictive analytics delivers the greatest value when the data being modeled is relevant to the business goals. Examine the preprocessing phase of data collection to provide the best predictive model.

WHAT YOU WILL LEARN

  • recognize what is tidy and what is untidy data
    identify outliers and determine whether to remove these values
    perform data transformation, normalization, and scaling
    recognize important aspects of variable partitioning
  • recognize important aspects of setting dummy variables and removing variables
    recognize key approaches for handling missing data
    use imputation to replace missing data

IN THIS COURSE

  • Playable
    1. 
    The Need to Clean Messy Data
    4m 32s
    UP NEXT
  • Playable
    2. 
    Outlier Identification and Handling
    3m 53s
  • Locked
    3. 
    Transforming, Normalizing, and Scaling Data
    3m 32s
  • Locked
    4. 
    Variable Partitioning
    3m 24s
  • Locked
    5. 
    Dummy Variables and Variable Removal
    3m 10s
  • Locked
    6. 
    Approaches for Handling Missing Data
    4m 10s
  • Locked
    7. 
    Imputation for Continuous Data
    2m 35s

EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE

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