Introduction to Data science for Social Scientists - Items

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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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Python Basicsipynb

Lesson 1
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Python Basics - Exerciseipynb

Lesson 1.b
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Data Manipulation in Pandasipynb

Lesson 2
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Data Manipulation in Pandas - Exerciseipynb

Lesson 2.b
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Case Study: Titanic data explorationipynb

Lesson 2.c
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Clusteringipynb

Lesson 3
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Case study: Titanic Clusteringipynb

Lesson 3.b
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Classificationipynb

Lesson 4
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Case study: Titanic Classificationipynb

Lesson 4.b
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Titanic DatasetHTML

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Item URL

http://data.d4science.org/ctlg/ResourceCatalogue/introduction_to_data_science_for_social_scientists

Additional Info

Field	Value
Availability	On-Line
Course	Introduction to Data science for Social Scientists
Keyword	Frequent Patterns
Prerequisites	None
Provider Institution	University of Pisa & ISTI-CNR
Target users	PhD Students
Thematic Cluster	Visual Analytics [VA]
Training material typology	Tutorial
system:type	TrainingMaterial

Management Info

Field	Value
Author	Rossetti Giulio
Maintainer	Rossetti Giulio
Version	1
Last Updated	19 July 2022, 16:30 (CEST)
Created	29 June 2018, 11:33 (CEST)