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12 data science certifications that will pay off

CIO Business Intelligence

Whether you’re looking to earn a certification from an accredited university, gain experience as a new grad, hone vendor-specific skills, or demonstrate your knowledge of data analytics, the following certifications (presented in alphabetical order) will work for you. Check out our list of top big data and data analytics certifications.)

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11 most in-demand gen AI jobs companies are hiring for

CIO Business Intelligence

Data scientist As companies embrace gen AI, they need data scientists to help drive better insights from customer and business data using analytics and AI. For most companies, AI systems rely on large datasets, which require the expertise of data scientists to navigate.

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15 best data science bootcamps for boosting your career

CIO Business Intelligence

The course includes instruction in statistics, machine learning, natural language processing, deep learning, Python, and R. The course culminates in a final data project in collaboration with real-world industry professionals. The data analyst bootcamp is a seven-month, online, part-time course. Data Science Dojo.

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What is data analytics? Analyzing and managing data for decisions

CIO Business Intelligence

Predictive analytics is often considered a type of “advanced analytics,” and frequently depends on machine learning and/or deep learning. Prescriptive analytics is a type of advanced analytics that involves the application of testing and other techniques to recommend specific solutions that will deliver desired outcomes.

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Data science vs. machine learning: What’s the difference?

IBM Big Data Hub

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is data science? Machine learning and deep learning are both subsets of AI.

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3 Key Components of the Interdisciplinary Field of Data Science

Domino Data Lab

Data science is a field that uses math and statistics as part of a scientific process to develop an algorithm that can extract insights from data. All models are not made equal. After cleaning, the data is now ready for processing. At this stage, data scientists begin writing code for computation and model-building.

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The curse of Dimensionality

Domino Data Lab

Danger of Big Data. Big data is the rage. This could be lots of rows (samples) and few columns (variables) like credit card transaction data, or lots of columns (variables) and few rows (samples) like genomic sequencing in life sciences research. Statistical methods for analyzing this two-dimensional data exist.