Data Science - Training.com

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Data Scientist
Data Scientists would create the model that would help machines create those distinctions. They would be able to think through the types of data they need, from manually tagged photos to keywords in image captions.
Knowledge of algorithms, statistics and broad knowledge of programming languages such as R and Python. Broad knowledge of how to structure a data problem, from framing the right questions to ask, to communicating the results effectively.
Algorithms: You understand the theory of data science, the statistics, modelling rules and mathematics that are at the heart of any data problem. You understand how experiments are designed and measured. You understand the algorithms and theory behind data science.

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Data Science with R | training.com Specialize in Data Science with R. Acquire practical skills for visualizing, transforming, and modelling data in R. Learn data exploration, data visualization, predictive analytics, and descriptive analytics techniques.

What is Data Science?

Data science, also known as data-driven science, is an interdisciplinary field about scientific methods, processes, and systems to extract knowledge or insights from data in various forms, either structured or unstructured, similar to data mining.Data science is a concept to unify statistics, data analysis and their related methods in order to understand and analyze actual phenomena with data. It employs techniques and theories drawn from many fields within the broad areas of mathematics, statistics, information science, and computer science, in particular from the sub-domains of machine learning, classification, cluster analysis, data mining, databases, and visualization.