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Data Science Tools

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  • Data Exploration
    • 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
  • Machine Learning
  • Data Cleaning
  • Text Analysis
  • Help

Welcome

Dear Instructors, and Students,

Welcome to Big Data Tools, where you can find data science tutorials for college students, and additional resources for instructors interested in teaching introductory data science courses. We welcome all feedback at axs1438@psu.edu!

You can find tutorials organized under teaching Labs, applied to case studies – e.g. Lab 1 is Data Exploration, and it is applied to the case study of Altoona’s crime rates.

This website is part of the NSF project “Building a Big Data Analytics Workforce in iSchools” (NSF award number 1525601).

 

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