Introduction to Data science for Social Scientists

This course, initially designed for social scientists, covers several topics of data science.

  • Python programming
  • Data Cleaning and Transformation
  • Classification
  • Clustering
  • Frequent Pattern Mining

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Course Introduction to Data science for Social Scientists
Item URL http://data.d4science.org/ctlg/ResourceCatalogue/introduction_to_data_science_for_social_scientists
http://data.d4science.org/ctlg/ResourceCatalogue/introduction_to_data_science_for_social_scientists
Keyword Data Mining
Keyword Data Understanding
Keyword Clustering
Keyword Classification
Keyword Frequent Patterns
Length
Lesson number
Prerequisites None
Provider Institution University of Pisa & ISTI-CNR
Target users Social Scientists
Target users Data Scientists
Target users PhD Students
Thematic Cluster Text and Social Media Mining [TSMM]
Thematic Cluster Social Network Analysis [SNA]
Thematic Cluster Human Mobility Analytics [HMA]
Thematic Cluster Visual Analytics [VA]
Training material typology Tutorial
system:type SoBigData.eu: TrainingMaterial
Management Info
Field Value
Author Rossetti Giulio
Maintainer Rossetti Giulio
Version 1
Last Updated 15 October 2018, 14:24 (CEST)
Created 29 June 2018, 11:33 (CEST)