- Data Science is the area of study which involves extracting insights from vast amounts of data using various scientific methods, algorithms, and processes.
- It helps you to discover hidden patterns from the raw data.
- The term Data Science has emerged because of the evolution of mathematical statistics, data analysis, and big data.
- Data Science is an interdisciplinary field that allows you to extract knowledge from structured or unstructured data.
- Data science enables you to translate a business problem into a research project and then translate it back into a practical solution.
Why Data Science?
Here are significant advantages of using Data Analytics Technology:
- Data is the oil for today’s world. With the right tools, technologies, algorithms, we can use data and convert it into a distinct business advantage
- Data Science can help you to detect fraud using advanced machine learning algorithms
- It helps you to prevent any significant monetary losses
- Allows to build intelligence ability in machines
- You can perform sentiment analysis to gauge customer brand loyalty
- It enables you to take better and faster decisions
- It helps you to recommend the right product to the right customer to enhance your business
Statistics:
Statistics is the most critical unit of Data Science basics, and it is the method or science of collecting and analyzing numerical data in large quantities to get useful insights.
Visualization:
Visualization technique helps you access huge amounts of data in easy to understand and digestible visuals.
Machine Learning:
Machine Learning explores the building and study of algorithms that learn to make predictions about unforeseen/future data.
Deep Learning:
Deep Learning method is new machine learning research where the algorithm selects the analysis model to follow.
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