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    • Lab 1 RapidMiner Modules
      • RM Module 1: Accessing Data
      • RM Module 2: Filtering & Sorting
      • RM Module 3: Merging & Grouping
      • RM Module 4: Creating & Removing Columns
      • RM Module 5: Changing Types & Roles for Modeling
      • RM Module 6: Normalization & Detecting Outliers
      • RM Module 7: Pivoting & Advanced Renaming
      • RM Module 8: Handling Missing Values
      • RM Module 9: Macros & Sampling
      • RM Module 10: Looping & Branching
    • Lab 1 Tableau Modules
      • T Module 1: Accessing Data
      • T Module 2: Filtering & Sorting
      • T Module 3: Merging & Grouping
      • T Module 4: Creating & Hiding Columns
      • T Module 5: Predictive Modeling
    • Lab 1 R Modules
      • R Module 1: Accessing Data
      • R Module 2: Filtering & Sorting
      • R Module 3: Merging & Grouping
      • R Module 4: Creating & Removing Columns
      • R Module 5: Predictive Modeling
      • R Module 6: Normalization & Detecting Outliers
      • R Module 7: Pivoting
      • R Module 8: Handling Missing Values
      • R Module 9: Sampling
      • R Module 10: Looping
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Lab 1 Tableau Modules

Image result  Modules

Tableau-Module-1-Accessing Data.html

Tableau-Module-2-Filtering&Sorting.html

Tableau-Module-3-Merging&Grouping.html

Tableau-Module-4-Creating&Removing Columns.html

Tableau-Module-5-Predictive Modeling,html

Next Page: Tableau Module 1: Accessing DataPrevious Page: RapidMiner Module 9: Macros & Sampling

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