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What is Data Analytics? How to Use it in Your Career?

Analytics Vidhya

In this digital world, Data is the backbone of all businesses. With such large-scale data production, it is essential to have a field that focuses on deriving insights from it. What is data analytics? What tools help in data analytics? How can data analytics be applied to various industries?

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Ultimate Collection of 50 Free Courses for Mastering Data Science

KDnuggets

The collection includes free courses on Python, SQL, Data Analytics, Business Intelligence, Data Engineering, Machine Learning, Deep Learning, Generative AI, and MLOps.

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Spatial Data Science: Elements, Use Cases, Applications

Knowledge Hut

In the world of data science, Spatial data science is at the heart of contributing to solving planet-threatening problems such as deciding the location of solar park installation, building urban resilience, predicting crop yield, population density analysis for immunization or disease mapping, and more.

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Highest Paying Data Science Jobs in the World

Knowledge Hut

Data Science, with its interdisciplinary approach, combines statistics, computer science, and domain knowledge and has opened up a world of exciting and lucrative career opportunities for professionals with the right skills and expertise. The market is flooding with the highest paying data science jobs.

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Data Engineering Weekly #170

Data Engineering Weekly

In an ideal world, data should be thought of as “borrowed” (possibly unpermitted) and thus can be “returned,” and unlearning should enable such revocation. link] LinkedIn: LakeChime - A Data Trigger Service for Modern Data Lakes LinkedIn points out two critical flaws in a partitioned approach to data management.

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Top 16 Data Science Specializations of 2024 + Tips to Choose

Knowledge Hut

The market for analytics is flourishing, as is the usage of the phrase Data Science. Professionals from a variety of disciplines use data in their day-to-day operations and feel the need to understand cutting-edge technology to get maximum insights from the data, therefore contributing to the growth of the organization.

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Data Engineering Weekly #163

Data Engineering Weekly

Compliance is mandatory, with strict penalties for violations, emphasizing the importance of data scientists familiarizing themselves with the law to avoid prohibited AI uses and ensure ethical, safe AI development. It discusses the significance of data governance, sharing history, and generative AI's impact on data economy standards.