Remove 2021 Remove Data Science Remove Modeling Remove Statistics
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2021 Gift Giving Guide for Data Nerds

DataKitchen

Back by popular demand, we’ve updated our data nerd Gift Giving Guide to cap off 2021. We’ve kept some classics and added some new titles that are sure to put a smile on your data nerd’s face. Fail Fast, Learn Faster: Lessons in Data-Driven Leadership in an Age of Disruption, Big Data, and AI, by Randy Bean.

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2021 Data/AI Salary Survey

O'Reilly on Data

In June 2021, we asked the recipients of our Data & AI Newsletter to respond to a survey about compensation. There was a lot of uncertainty about stability, particularly at smaller companies: Would the company’s business model continue to be effective? Would your job still be there in a year? Salaries by Gender.

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Growing Demand for Data Science & Data Analyst Roles

Smart Data Collective

Unleash your analytical prowess in today’s most coveted professions – Data Science and Data Analytics! As companies plunge into the world of data, skilled individuals who can extract valuable insights from an ocean of information are in high demand.

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IT leaders get creative to fill data science gaps

CIO Business Intelligence

They’ve also created a relationship with universities, setting up a pipeline of emerging technology-focused interns, who work at the company, gain experience in data science, and then can potentially be hired after they graduate. . Expanding data science teams. These people are making up a data science support system.

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Data Scientists: Level Up Your Projects With These Statistics Concepts

Dataiku

According to LinkedIn’s Emerging Jobs on the Rise report for 2021 , data scientist roles are still growing steadily, showing an average annual growth of 35%.

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Top 10 AI graduate degree programs

CIO Business Intelligence

Carnegie Mellon University The Machine Learning Department of the School of Computer Science at Carnegie Mellon University was founded in 2006 and grew out of the Center for Automated Learning and Discovery (CALD), itself created in 1997 as an interdisciplinary group of researchers with interests in statistics and machine learning.

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Where Programming, Ops, AI, and the Cloud are Headed in 2021

O'Reilly on Data

We don’t yet have adequate tools for versioning data (though DVC is a start). Models are neither code nor data, and we don’t have adequate tools for versioning models either (though tools like MLflow are a start). AI, Machine Learning, and Data. What about data science? The tooling has changed though.