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Top 16 Data Science Job Roles To Pursue in 2024

Knowledge Hut

According to the World Economic Forum, the amount of data generated per day will reach 463 exabytes (1 exabyte = 10 9 gigabytes) globally by the year 2025. Thus, almost every organization has access to large volumes of rich data and needs “experts” who can generate insights from this rich data.

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How to Become a Data Engineer in 2024?

Knowledge Hut

Data Engineers are engineers responsible for uncovering trends in data sets and building algorithms and data pipelines to make raw data beneficial for the organization. This job requires a handful of skills, starting from a strong foundation of SQL and programming languages like Python , Java , etc.

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A List of Machine Learning Libraries

U-Next

Because they may utilize the functionalities of the Machine Learning libraries knowing how the methods are implemented, this helps programmers save a huge amount of time, making their lives simpler. The American Deep Learning and Machine Learning Markets are expected to be worth $80 million by 2025. TensorFlow.

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Cyber Security vs Data Science: Key Difference & Similarities

Knowledge Hut

To combat these dirty challenges thrown by hackers, the field of data science has emerged as a powerful player in the battleground against cybercrimes. Once this knowledge is applied, the data is cleaned and organized using techniques such as data analysis, feature engineering, and machine learning to make it usable and reliable.

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Machine Learning Career Track, Learning Path & Roadmap

ProjectPro

These statistics show that it's a perfect time to pursue a career in machine learning and artificial intelligence. Get Closer To Your Dream of Becoming a Data Scientist with 150+ Solved End-to-End ML Projects How much does an ML Engineer earn? Deep learning and computer vision-related careers may demand higher degrees.

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AI Engineer Salary- The Ultimate Guide for 2023

ProjectPro

Artificial Intelligence (AI) market will be worth 190 Billion USD by 2025. Coordinate with the other teams, such as data management, information security, electrical engineering, etc., These languages are easy to learn, and understanding multiple knowledge will broaden your capabilities.