WHAT IS Data Science?
Data Science is the combination of computer science programming, data analytics, and data science. Data Science is based on data science technology. Data Science is a technique that is used for making effective business strategies. This technique is being used in every sector of the industry nowadays. The companies determine the hidden patterns and useful information from a huge quantity of data. It is pronounced by the Interactive Data Corporation that the generation of the data is expected to reach 163 Zettabytes till the year 2025. know more about data science course
PROCESS OF Data Science
Here is a brief discussion of the process of the Data Science technique. The implementation of this technique by the companies is discussed below.
Framing of the business problem
Framing the problem is the most important part of our strategy. It is not only important in Data Science, but in every field as well. You should be aware about your problem which you are looking for a solution so that the companies determine which problem they are facing in this stage.
Framing analytics problem
In this part, the companies think about how the problem can be solved with the help of data analytics. A discussion about the type of analysis is held to solve the problem. This stage is known as the success model of the strategy.
Data
The next step is dealing with data. After the companies decided how to solve the problem, they collect or select the data which would be suitable for the data analysis. In this step, the data is collected, cleaned, etc. The data is completely got ready for the analysis.
Model building and methodology selection
Once the data is ready for the analysis, then the companies go for applying the methods. In Data Science, different methods are used for the analysis. They decide about the methodology according to their data. Moreover, the models are also examined and based on the type of analysis as well as the data type collected by the company.
Deployment
The company deploys its product in the final stage. The outcome is controlled to see if the product is in desired mode or not. Once the product is verified, then it is deployed over the company's system.
TYPES OF ANALYTICS
The following types of analyses are performed on the data by the Data Science techniques. They are listed below.
Predictive analysis
Prescriptive analysis
Descriptive analysis
APPLICATIONS OF Data Science
Here are the different applications of the Data Science technique in different sectors of the industry. From these applications, you can understand how useful the Data Science technique is at the present time. They are listed below.
Gaming
Fraud detection
Speech recognition
Image recognition
Recommender system
Price comparison
CONCLUSION
The applications of Data Science take place in everywhere in the industry. This shows that this technique is becoming important in the industry. Students can choose this field as their career option. Interested students can join different courses in Data Science.
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