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Same Title, Different Role: Commercial vs. Industrial Data Scientists

Dataconomy

According to Forrester, organizations that are driven by data science research and insights are twice as likely to be market leaders within their industries. The proof is in the pudding: investment in data leads to big-time payoffs for companies.

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Step-by-step Guide to Become a Data Scientist in Retail Industry

Analytics Vidhya

Introduction Data analysts with the technological know-how to tackle challenging problems are data scientists. They collect, analyze, interpret data, and handle statistics, mathematics, and computer science. They are accountable for providing insights that go beyond statistical analyses.

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Empowering success: Charting data scientist salaries in 2023

Data Science Dojo

Explore the lucrative world of data science careers. Learn about factors influencing data scientist salaries, industry demand, and how to prepare for a high-paying role. Data scientists are in high demand in today’s tech-driven world.

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How Verana Health Uses the Databricks Lakehouse to Democratize Data and Deploy AI for Medical Innovation

databricks

Across industries, data scientists spend up to 80% of their time trying to properly prepare and cleanse datasets for data mining and artificial.

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Life of modern-day alchemists: What does a data scientist do?

Dataconomy

Today’s question is, “What does a data scientist do.” ” Step into the realm of data science, where numbers dance like fireflies and patterns emerge from the chaos of information. In this blog post, we’re embarking on a thrilling expedition to demystify the enigmatic role of data scientists.

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Help for Academic Programs in Data Science

Data Science 101

Brandon Rohrer (along with others ) created an excellent resource for academic programs, Industry recommendations for academic data science programs. The resource is authored by a number of industry data scientists and university faculty. It is collection of useful information for college data science programs.

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Roll Rate Analysis: Unveiling Insights into Financial Dynamics

Pickl AI

Roll Rate Analysis in Data Science: Practical Examples Roll Rate Analysis is a powerful tool in the realm of Data Science, providing actionable insights into patterns and trends within financial data. Data Scientists analyze the roll rates of customers transitioning from “active” to “churned” status.