1. The process in Data Science Analysis
   1. Acquire Data
   2. Prepare Data
      1. Exploring Data
         1. correlation, outliers
      2. Preprocess (Data Cleansing + Data Transformation)
   3. Data Analysis
   4. Data Report
   5. Action/Decision

2. Data Cleaning- how to deal with:

   1. Inconsistent values -

   2. Duplicate records - merge/ remove

   3. Missing values - remove/estimate (eg. interplotation)

   4. Invalid data

   5. Outliers

3. Data Wrangling/ Data Munging

   1. Dimensionality Reduction

      Data Manipulation

      Transformation

      Feature

Yeo-Johnson Transformation

Lejung-Box Transformatioin