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Data analytics

While data analytics is primarily focused on understanding data sets and deriving actionable information, data science focuses on creating, cleaning, and organizing data sets.

Data processing and analysis professionals create and use algorithms, statistical models, and proprietary analysis to collect raw data and transform it into something more understandable.

Key Features:

Programming: The process of writing computer programs and algorithms in various languages such as R, Python, and SQL that can be used to analyze large data sets more efficiently than manual analysis.

Statistical Modeling: The process of processing data using various models such as: regression, classification and clustering models. Among other things, to identify relationships between variables and obtain information from numbers.

Data Processing: The process of cleaning and organizing data for better use.

We will perform deep data analysis and turn your ideas into a profitable product. We provide technical support.

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