Data Science refers tothe study and extraction of important outputs from huge volumes of structured and unstructured data to help organizations, in business terms, to gain competitive edge.
Data Science is related to the field of methods and research output from various fields of mathematics, information science, statistics and computer science. It also includes automated methods for statistical learning, studying probability models, data mining, pattern learning, visualization, predictive analytics, data warehousing, artificial intelligence etc.
A data scientist is referred to as a data analyst. A data scientist is sometimes required to work with other teams that includes developers, specialists, business analysts, architects, owner and other staff's.
Data Science team will survey the following topics of Data Science
- Data Manipulation
- Data Analysis with Statistics and Machine Learning
- Data Communication with Information Visualization
- Data at Scale - Working with Big Data
How to Do Data Science
It has three OPD components
- Organizing - Organizing data involves physical location, storage and structure of the data management.
- Packaging - Packaging data is logically prototypes are build, the statistics is performed and a new representation of package.
- Delivering data -Delivering data is the logic of data is being accessed by those who need to use it
There are 3 steps of following OPD Data Science Process
Step 1 - Organizing Data, In case of moving from one view to another view we use Organizing data. Advancing technologies and skills is the essence of innovation.
Step 2 - Packaging Data, In case of moving from one view to another view we use Packaging data which is the reverse of organizing data. This is the art of making things simple but not simpler.
Step 3 - , In case of moving from one view to another view we use data in enabling mode, enabling expert data to be understood by beginners and enabling new technology to seem like it has be a part of your life since you were born. This is transformational education.
