Category Archives: Data Science education

KDD 2020 Opens Call for Research and Applied Data Science Paper Submissions

ACM SIGKDD Invites Industry and Academic Experts to Submit Advancements in Data Mining, Knowledge Discovery and Machine Learning for 26th Annual Conference in San Diego Read more here

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Logistic Regression in R: A Classification Technique to Predict Credit Card Default

Logistic regression is one of the statistical techniques in machine learning used to form prediction models. It is one of the most popular classification algorithms mostly used for binary classification problems (problems with two class values; however, some variants may … Continue reading

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Data Science Skills: Domain Expertise, Programming, Statistics

Source: Business Over Broadway Based on a study of 620+ data professionals, we found that data science skills fall into three broad areas: domain expertise (in our case, business), technology/programming and math/statistics.

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Democratizing Data Science Education (Video)

Personalized, open data science courses at scale Source: Jonathan Cornelissen @DataCamp.com    

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Using Machine Learning to Predict Customers’ Purchases (Video)

In her project called “More than Guts,” Galvanize Data Science graduate Deseanae Bluiett uses machine learning to easily provide data driven sales and marketing insights. The focal point is an interactive sales and marketing dashboard that identifies customer segments and utilizes … Continue reading

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2015 Trends in Data Science (Infographic)

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Big Data Analytics 2014 Predictions from IIA

Listen to the recorded webcast here. From Sarah Gates’ post: “At the end of the webcast, our listeners voted on which predictions they thought would come true.  The results of the voting are shown below.  If they are right, we … Continue reading

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