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Greetings

Welcome to the data repository for the Intro to Data Science: Your Step-by-Step Guide To Starting course by Kirill Eremenko and Hadelin de Ponteves. All supplementary materials and datasets are below. Enjoy!


Part 1: Your Ultime Data Science Guide

Source: SuperDataScience


Part 2: Data Science With Tableau

Source: UCI ML Repository & S. Moro, P. Cortez and P. Rita. A Data-Driven Approach to Predict the Success of Bank Telemarketing. Decision Support Systems, Elsevier, 62:22-31, June 2014. https://archive.ics.uci.edu/ml/datasets/Bank+Marketing


Part 3: Data Science With Python

Source: UCI ML Repository & Pınar Tüfekci, Prediction of full load electrical power output of a base load operated combined cycle power plant using machine learning methods, International Journal of Electrical Power & Energy Systems, Volume 60, September 2014, Pages 126-140, ISSN 0142-0615. https://archive.ics.uci.edu/ml/datasets/combined+cycle+power+plant

Source: UCI ML Repository & This breast cancer databases was obtained from the University of Wisconsin Hospitals, Madison from Dr. William H. Wolberg. | O. L. Mangasarian and W. H. Wolberg: “Cancer diagnosis via linear programming‚” SIAM News, Volume 23, Number 5, September 1990, pp 1 & 18. https://archive.ics.uci.edu/ml/datasets/breast+cancer+wisconsin+(original)


Part 4: Data Science in The Cloud

Source: SuperDataScience


Download All Codes & Datasets

Source: SuperDataScience