Engineering is a deep ocean, which opens itself into numerous departments. But, we often associate with either mechanical, electrical, software, computer science, and civil. To many who don’t know there is a hell of a lot of other departments as well. One among them is Data mining engineering. It’s not as complicated as the term seems to.
Today, we will be discussing about data mining engineering, the basic syllabus, scope of employment, returns, companies, and a lot more.
What is Data mining engineering?
Data mining engineering is nothing but a type of tool which offers for analysis of large databases, patterns and helps in the discovery of trends. It mainly focuses on theory and different applications of data mining which includes text mining, web mining, image mining, algorithms, etc.
Data Mining Specialist is a better name for a Data mining engineer. It is one of the currently demanded courses. And it can be broadly classified into 3 major categories:
- Descriptive modeling.
- Predictive modeling.
- Prescriptive modeling.
As we all know, how critical data mining job is. One needs to ensure that he/she has to be good with numbers. As it involves major data interpretation, analytical reasoning, and whatnot. So, if you’re planning for this post. You need to have an in-depth knowledge of any of the analytical tools. This is one of the major skill sets required.
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Software tools like Python, SAS, Excel, SQL are highly recommended. Adding to this, you need to understand the industry you are working in and solve the issue. And should also possess a non-technical skill set such as strong communication, confidence, and so on.
Eligibility criteria for Data mining engineering
Knowing the expertise criteria of this opportunity, you will now be knowing the basic eligibility criteria for becoming a data mining engineer. So, read the below points.
- Starting from the school level, one needs to pass the higher secondary education from a recognized board with an average aggregate of 50%. Mathematics should be included in the 5 subjects.
- Coming to the undergraduate level, one should pass with at least 50% aggregate, which mathematics being the top priority. A higher percentage implies better prospects.
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Syllabus
Coming to the point of the syllabus, it includes a gist to introduction to data mining, tools on practice, understanding data and data processing, data generalization, and data cubing. Furtherly, it also includes associations and correlations, cluster analysis.
Scope of employment
There is a vast scope of employment in this sector. The average salary varies from 4,00,000 to 8,00,000 per annum. It can even go up with considerable experience and growth. However, the initials may start below. The major companies which hire data mining engineers are Google, Novartis, KPMG, RBS, Kotak Mahindra, Fractal, Expedia, Citi bank, Microsoft, and so on.
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Conclusion
As more organisations turn to data to help them reduce inefficiencies, improve sales, and compete in this technologically sophisticated world, the need for data mining engineers is expected to skyrocket in the near future. In the next years, data mining experts will be increasingly highly appreciated.