Category Archives: Data Science Careers

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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The $250K Median Salary of Data Scientists Managers is Why Google and Salesforce Invested $20B in Self-Service Data Science

Earlier this month, Salesforce announced the acquisition of data visualization and analytics leader Tableau for $15.7 billion and Google announced the acquisition of data discovery and analytics platform Looker for $2.6 billion. Both acquired companies will beef up the acquiring … Continue reading

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Hyper Job Growth for Data Science and Analytics

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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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9 Categories of Data Scientists

DataViz: Those strong in statistics: they sometimes develop new statistical theories for big data, that even traditional statisticians are not aware of. They are expert in statistical modeling, experimental design, sampling, clustering, data reduction, confidence intervals, testing, modeling, predictive modeling … Continue reading

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The Evolution of Data Scientists, 2006-2016

Gaurav Vohra, CEO & Co-founder Jigsaw Academy: Here are my predictions for 2021. Machine learning and deep learning will become much more popular. More data and better processing power will enable a lot more analysis of different data. Those who … Continue reading

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A Career in Data Science: Bob Rogers, Chief Data Scientist, Intel

  “Business leaders want ‘the answer,’” says Bob Rogers, Chief Data Scientist for Big Data Solutions at Intel. But data scientists must understand what “the answer” means in the specific business context and communicate the expected impact in the language … Continue reading

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