According to Wikipedia, Data science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from many structural and unstructured data. Data science is related to data mining, deep learning and big data.

There are interesting set of Career Opportunities in the field of Data Science for Freshers and Experienced professionals:

Some of the careers that Data Science professionals can opt for are as follows:

Data Scientist: Apply Machine Learning algorithms in solving complex problems faced by the customers. The Data scientists analyze a large amount of complex data to find patterns & rules.

 Machine Learning Engineer: A ML Engineering creates new Models to Business Issues, using Machine learning algorithms.

Data Analyst : The Data Analyst is able to manipulate large data sets to suit the desired analysis. One of the fastest areas being picked up for Data Analysis is Web-Analytics.

Data Engineer: A data engineer performs real-time and batch processing of data. He ensures that the Data Scientist receives the data that is required for his Models.

Business Intelligence Developer : A Business Intelligence Developer converts data into information. This information is then consumed by the Business in better business decisions. A BI developer needs to be extremely data-savvy, know the usage of the BI Tools. Over a period of time, it is expected that they develop some domain expertise, as well.

Machine Learning Scientist: A Machine Learning Scientist researches new Machine Learning Algorithms

Statistician: A a Statistician Interprets, Analyzes and reports Statistical information for Business purposes.

Data Architect : Architecting Data Platforms to Performance

 Application Architect: Architecting New Business Applications taking into account the latest Tools, Technologies ensuing the usability of the application by all the organization

Infrastructure Architect : Architecting Infrastructure for the Organization, especially, focussing on the resource optimization on-premise or on cloud.

Enterprise Architect : An Enterprise Architect works closely with Stakeholders, including Management, and SMEs to develop a view of the organization's strategy, information and IT assets.

While it takes multiple years of practice for a professional to mature in the fields of Data Science, you can make a start with the Data Science Certification Courses at is a Premium Training Institutes providing courses in Python, Data Science, Artificial Intelligence, Machine Learning, devOps and AWS.

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