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AWS Big Data Certification Salary 2023 [Fresher & Expereinced]

Knowledge Hut

When it comes to cloud computing and big data, Amazon Web Services (AWS) has emerged as a leading name. Amazon Web Services offers cloud computing certification to help professionals uncover new insights and build, secure, and deploy big data applications. Zenith Systems INR 34.2 – 43.7L

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Azure for Data Science: Overview, Challenges, Technologies

Knowledge Hut

Microsoft Azure is one such public cloud computing platform that provides a range of cloud services for computing, storing, and networking. There are some renowned cloud players like Amazon Web Services, Google Cloud, IBM Watson, etc., They have a vast list of libraries which aid in data science tasks.

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Best Online Courses with Certificates in 2024 [Free + Paid]

Knowledge Hut

Course Length: 8 hours Learn more about the program ! Data Science: R Basics from Harvard University Overview: This program introduces the basics of R programming. Course Length: 8 weeks Learn more about the program ! Course Length: 17 hours Learn more about the program !

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Top 30 Machine Learning Skills for ML Engineer in 2024

Knowledge Hut

Machine learning drives advancements in image and speech recognition, Natural Language Processing (NLP), recommendation systems, and applications like fraud detection. These professionals, with their ML engineer skills, have expertise in research, building, and designing to develop AI systems that harness expansive datasets.

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Big Data Engineer Salary - How Much Can You Make in 2023?

ProjectPro

Similarly, professionals with a good understanding of the R programming language earn a median salary of $75,848. Data professionals with skills in Apache Hadoop or Amazon Web Services can earn 30-40% better compensation than the average salaries. How much is the salary of a big data engineer?

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List of Top Data Science Platforms in 2023

Knowledge Hut

These platforms offer collaborative environments, helping organizations to incorporate data-driven decisions into operational and customer-friendly systems to enhance business outcomes. There are dozens of products describing themselves using similar language despite addressing different problems for different types of users.