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Crucial Data Engineer Skills for a Successful Career

Analytics Vidhya

Introduction Data engineering and data science have been one of the hottest trends in the vocational market for quite some time. To build a successful career in data engineering, the aspirants need […]. The post Crucial Data Engineer Skills for a Successful Career appeared first on Analytics Vidhya.

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Wonder Plumbers, Why Data Engineers Are The Unsung Heroes

Adrian Bridgwater for Forbes

The drive to encourage students (and anyone keen to learn) throughout the computer science industry is dominated by messaging designed to encourage people to gain cert.

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How to Get Started as a Data Engineer

Smart Data Collective

If you enjoy working with data, or if you’re just interested in a career with a lot of potential upward trajectory, you might consider a career as a data engineer. But what exactly does a data engineer do, and how can you begin your career in this niche? What Is a Data Engineer?

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The Ultimate Guide to Choosing the Best Data Science Course to Boost Your Career in 2023

Analytics Vidhya

Data scientists are at the forefront of solving complex problems using data-driven approaches, from predicting market trends to developing personalized recommendations.

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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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Data Warehouse for the Beginners!

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction The concept of data warehousing dates to the 1980s. IBM is one name that easily enters the picture whenever long history in computer science is involved. The post Data Warehouse for the Beginners!

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TigerEye (YC S22) Is Hiring a Full Stack Engineer

Hacker News

Here are a few of the things that you might do as an AI Engineer at TigerEye: - Design, develop, and validate statistical models to explain past behavior and to predict future behavior of our customers’ sales teams - Own training, integration, deployment, versioning, and monitoring of ML components - Improve TigerEye’s existing metrics collection and (..)