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Cyber Security vs Data Science: Key Difference & Similarities

Knowledge Hut

A bachelor's degree in computer science, statistics, mathematics, or a closely related discipline is required. Expertise in this field is computer science understanding, network security , cryptography, risk management, vulnerability assessment, penetration testing , offensive skills (also termed as red teaming), and many more.

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Data Engineering Learning Path: A Complete Roadmap

Knowledge Hut

Data engineers make a tangible difference with their presence in top-notch industries, especially in assisting data scientists in machine learning and deep learning. Steps to Become a Data Engineer One excellent point is that you don’t need to enter the industry as a data engineer.

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Pay after placement Data Science

U-Next

Since these methods need a lot of computation, they are implemented using programming code often executed on sophisticated hardware. Data Science is a field that combines computer programming, quantitative maths, deep learning, data processing, and visualisations. Future of the Data Science field.

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Data Science Learning Path [Beginners Roadmap]

Knowledge Hut

In fact, you reading this blog is also being recorded as an instance of data in some digital storage. In 2018, the world produced 33 Zettabytes (ZB) of data, which is equivalent to 33 trillion Gigabytes (GB). In 2020, this number grew to 59 ZB and was expected to reach a whopping 175 ZB in 2025.

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How to Become a Data Engineer in 2024?

Knowledge Hut

Data Engineering is typically a software engineering role that focuses deeply on data – namely, data workflows, data pipelines, and the ETL (Extract, Transform, Load) process. Pipeline-centric Pipeline-centric data engineers work with Data Scientists to help use the collected data and mostly belong in midsize companies.