Data Reduction & Exploratory Data Analysis (EDA)

Predictive Analytics    |    Intermediate
  • 11 Videos | 45m 32s
  • Includes Assessment
  • Earns a Badge
Likes 52 Likes 52
With predictive analytics, relevant data should be stored for easy retrieval and kept up-to-date, with attributes selected contingent on their predictive potential. Explore data reduction and graphic tools for exploratory data analysis.

WHAT YOU WILL LEARN

  • recognize key data reduction methodologies
    use principal component analysis for feature selection
    use the information theory approach for feature selection
    recognize the key features of using chi-square
    recognize key features of the wrapper data reduction method
    recognize the key features of factor analysis
  • recognize key features of EDA and how quantitative techniques are used to perform EDA
    use box charts and box-and-whisker plots to perform EDA
    use run charts and scatter plots to perform EDA
    use histograms and stem-and-leaf plots to perform EDA
    recognize the use of PCA for feature selection

IN THIS COURSE

  • Playable
    1. 
    Dimension Reduction
    6m 6s
    UP NEXT
  • Playable
    2. 
    Principal Component Analysis for Numerical Data
    3m 20s
  • Locked
    3. 
    Information Theory Approach to Feature Selection
    4m 20s
  • Locked
    4. 
    Chi-square Feature Selection Method
    3m 4s
  • Locked
    5. 
    Wrapper Data Reduction Method
    3m 9s
  • Locked
    6. 
    Factor Analysis
    3m 13s
  • Locked
    7. 
    Overview of EDA and Quantitative Techniques
    3m 24s
  • Locked
    8. 
    Bar Charts and Box-and-whisker Plots
    5m 10s
  • Locked
    9. 
    Run Charts and Scatter Plots
    2m 59s
  • Locked
    10. 
    Histograms and Stem-and-leaf Plots
    3m 16s
  • Locked
    11. 
    Exercise: Interpret Scatter Plots
    2m 31s

EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE

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