Data Science and Analytics

Data is any set of characters that is gathered and translated for some purpose, usually analysis. For example, Sound, Video, Single character, Number, Picture, Text. Science is the systematic study of the structure and behavior of the physical and natural world through observation, experimentation, and the testing of theories against the evidence obtained.

Data science is using data to make better decisions with analysis for insight, statistics for causality, and machine learning for prediction.It is the discipline of making data useful by breaking them into statistics, machine learning, and data-mining/analytics.

WeDesign can help you with the below four types of analytics. Existing data sources can be used to apply analytics techniques in Microsoft Excel or use other statistical tools. A programming language like Python and its libraries are useful to extract meaningful insights. Data source could be anything - Excel files, RDBMS, Data Warehouses, Data Lakes etc. 

Machine learning methods like Supervised and Unsupervised learning can be used for predictive analytics for labeled and unlabeled data.

Please talk to us to know more about the possibilities to apply data concepts and tools.

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