Using Python for Data Science
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Updated
Nov 30, 2023 - Jupyter Notebook
Using Python for Data Science
Data Analysis and Visualization in Python for Ecologists
Introducing Data Literacy to Git Novice
an analysis of Simpson's paradox example dataset
Work done by Alex, Jason, Marta, Pat, Peter and Tracey on practicum[0]. Problem was from DND around how to measure the impact of training.
Course materials for administrators and teacher leaders on using questions to drive inquiry and communicate effectively with data.
Palestra para as Lives de Inclusão Digital da UNINOVE
A notational system for relational model
Introducing Data Literacy to R for the SS.
Weblog (academic theme) outdated - New = WEBLOG-NOTES
Public datasets suitable for learning data literacy competences
DataLiteracy-OpenRefine
In this section we will cover the topics such as; how to handle and process the data, how to read it, how to visualize the data, what can we deduct from a dataset after the processes that we made and at the end we apply EDA(Exploration Data Analysis) on a valid dataset.
Data treaders event GitBook repository. Information about the event, timetables, and data sources.
Shiny app illustrating the cholesterol example for the Simpson's paradox in Glymour et al. (2016, Section 1.2)
Lectures that are part of an undergraduate course held at University of Münster, School of Business and Economics (summer term 2024) 🎓
Moodle Learning Analytics
An open course growing data literacy through examination of social justice issues
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