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

Analytics Vidhya

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? appeared first on Analytics Vidhya.

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Top 10 Data Science Certifications

Knowledge Hut

Nowadays, I often hear people saying they aspire to become data scientists or they want to work with data, but they don’t know the path to do so. I myself have faced this problem and data science certifications come as a rescue for this problem. What is Data Science Certification?

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Trends in AI and Data Analytics for Renewable Energy

RandomTrees

The importance of Artificial Intelligence (AI) and Data Analytics in renewable energy is increasing with the accelerating pace of this transition. In this article, we will discuss future trends in AI and Data science for renewable energy as well as how they are going to impact the sector.

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Reframing “Data Engineering vs Data Science”

Silectis

In this blog post, we’ll walk you through how data science and data engineering are complementary disciplines. We’ll also delineate a third category: data analysis. We’ll explore how both data engineering and data science should be marshaled to make better decisions.

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Data Engineering Weekly #173

Data Engineering Weekly

[link] Sponsored: From 90-sec queries to sub-second with DoubleCloud Learn how LSports, a top provider of real-time sports data, improved its data analytics using DoubleCloud’s Managed ClickHouse. seconds, enhancing real-time sports data analytics efficiency!

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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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From Data Engineering to Prompt Engineering

Towards Data Science

Solving data preparation tasks with ChatGPT Photo by Ricardo Gomez Angel on Unsplash Data engineering makes up a large part of the data science process. In CRISP-DM this process stage is called “data preparation”. It comprises tasks such as data ingestion, data transformation and data quality assurance.