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Top 16 Data Science Specializations of 2024 + Tips to Choose

Knowledge Hut

They construct pipelines to collect and transform data from many sources. A Data Engineer is someone proficient in a variety of programming languages and frameworks, such as Python, SQL, Scala, Hadoop, Spark, etc. One of the primary focuses of a Data Engineer's work is on the Hadoop data lakes.

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15+ Must Have Data Engineer Skills in 2023

Knowledge Hut

Data engineers design, manage, test, maintain, store, and work on the data infrastructure that allows easy access to structured and unstructured data. Data engineers need to work with large amounts of data and maintain the architectures used in various data science projects. Technical Data Engineer Skills 1.Python

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Top 16 Data Science Job Roles To Pursue in 2024

Knowledge Hut

You can look for data science certification courses online and choose one that matches your current skill levels, schedule, and the outcome you desire. Mathematical concepts like Statistics and Probability, Calculus, and Linear Algebra are vital in pursuing a career in Data Science.

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Data Science Foundations & Learning Path

Knowledge Hut

In the age of big data processing, how to store these terabytes of data surfed over the internet was the key concern of companies until 2010. Now that the issue of storage of big data has been solved successfully by Hadoop and various other frameworks, the concern has shifted to processing these data.

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Top 8 Hadoop Projects to Work in 2024

Knowledge Hut

Competitive Advantage: Utilizing Hadoop projects can give organizations a competitive edge through data-driven insights. Diverse Data Processing: Hadoop supports various data types and complex analysis challenges. Cost-Effectiveness: Hadoop is a cost-effective solution compared to traditional data processing systems.

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Artificial Intelligence Career 2022

U-Next

It’s a study of Computer Algorithms, which helps self-improvement through experiences. It builds a model based on Sample data and is designed to make predictions and decisions without being programmed for it. Like Java, C, Python, R, and Scala. Programming skills in Java, Scala, and Python are a must.

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Java vs Python for Data Science in 2023-What's your choice?

ProjectPro

Java is also used by many big companies including Uber and Airbnb to process their backend algorithms. Apache Spark is an open-source analytics engine that is used by data scientists for large-scale data processing. SciKit-learn: The SciKit-learn library of Python can be used for data mining and data analysis.

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