Datascience

An interdisciplinary field about processes and systems to extract knowledge or insights from data in various forms.

Datascience in broad terms means a “concept to unify statistics, data analysis, machine learning and their related methods” in order to “understand and analyse actual phenomena” with data. It employs techniques and theories drawn from many various fields within the context of mathematics, statistics, computer science, and information science

Advantages of Datascience

Machine Learning

No Name uses and offers Machine learning as a part of data science. It draws aspects from statistics and algorithms to work on the data generated and extracted from multiple resources. Machine Learning is an application of artificial intelligence where a computer or machine learns from the past experiences (input data) and makes future predictions. In order to perform the task T, the system learns from the data-set provided.

  • 24/7 availability
  • Reduction of errors
  • Increased productivity

Data Mining

No Name uses and offers Data Mining as an activity which is a part of a broader Knowledge Discovery in Databases (KDD) Process while Data Science is a field of study just like Applied Mathematics or Computer Science. Machine Learning in Data Mining is used more in pattern recognition while in Data Science it has a more general use

  • Helps predict future trends
  • Increase company revenue
  • Pattern evaluation

Data Visualisation

No Name uses and offers Data visualization is the final piece and skill set for accomplished data scientists and data analysts. It involves communicating their findings effectively through graphical means. It might include graphs, charts, mind maps, infographics, and other visuals to help convey key data findings and insights.

  • Faster actions
  • Communicate efficiently
  • Create new opportunities

Want to know what Datascience can do for you?

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