Areas of Expertise in Data Science
The analytics market is booming, and so is the use of the keyword - Data Science. Professionals from different disciplines are using data in their day to day activities, and feel the need to master the start-of-the-art technology in order to get maximum insights from the data, and subsequently help the business to grow.
To be a Data "something", you need to have a passion, and zeal to play with data, and a desire to make digits and numbers talk. It is a mixture of various things, and there are a plethora of skills one has to master. The list of skills often gets overwhelming for an individual who could quit, given the enormity of its applications, and a continuous learning mindset in the field of Data Science demands.
'What sort of personality makes for an effective Data "Something"? Definitely curiosity ! The biggest question in data science is 'Why?' Why is this happening? If you notice that there's a pattern, ask, 'Why?' A natural curiosity will definitely give you a good foundation.'
1.) Data Engineering & Data WarehousingJob Titles: ETL Expert, Data Engineer, Database Developer, Data Analyst, DWH Developer, DWH Architect. Salary Range: $66k - $141k
Data engineering is a set of operations aimed at creating interfaces and mechanisms for the flow and access of information. Within a large organization, there are usually many different types of operations management software: ERP, CRM, production systems, and more. The process of moving data from one system to another, be it a SaaS application, a data warehouse (DW), or just another database, is maintained by data engineers. A data warehouse is a central repository where raw data is transformed and stored in query-able forms.
2.) Data Mining & Statistical AnalysisJob Titles: Data Scientist, Business Analyst, Statistician, Data Mining Analyst, Analytics Manager. Salary Range: $66k - $145k
Statistical Analysis and Data Mining addresses the broad area of data analysis, including data mining algorithms, statistical approaches, and practical applications. Topics include problems involving massive and complex datasets, solutions utilizing innovative data mining algorithms and/or novel statistical approaches. Data mining is a multi-faceted process. It is true that statistical elements are utilized in the functions of data mining, including classification, clustering, regression and association.
3.) Cloud and Distributed ComputingJob Titles: Cloud - Solutions Architect / Network Engineer / Automation Engineer / Security manager, Platform Engineer. Salary Range: $82k - $177k
Simply put, cloud computing is the delivery of computing services-including servers, storage, databases, networking, software, analytics, and intelligence-over the Internet ('the cloud') to offer faster innovation, flexible resources, and economies of scale. Cloud Services can be : IaaS, PaaS, SaaS or serverless.
Distributed computing is a model in which components of a software system are shared among multiple computers. Even though the components are spread out across multiple computers, they are run as one system.
4.) Database Management & ArchitectureJob Titles: DBA, Database Architect, Oracle Consultant, DB Coordinator, DB Analyst. Salary Range: $61k - $142k
This role is responsible for designing, deploying, and maintaining databases in support of high volume, complex data transactions for specific services or groups of services. It refers to the actions a business takes to manipulate and control data to meet necessary conditions throughout the entire data lifecycle.