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Different Types Of Data Science Job Roles
Data Science is an interdisciplinary field that utilises scientific techniques, processes, software and algorithms to access and extract data from a variety of unstructured and structured data. Data Science is also closely associated with Machine Learning, Big Data and Statistical Learning. There are many different types of Data Science disciplines. There are different areas where Data Science is applied and every industry has its own applications. Leverage real-world skills in Data Science with Data Science Training In Hyderabad program by Kelly Technologies.
Now, let’s look at the different types of Data Science job roles that are in-demand
In-Demand Data Science Job Roles:
If you are a statistician then you will want to focus on the development of a statistical or analytical model to help in the analysis of data which may be unstructured or structured. There is a lot of data that is unstructured and can still provide valuable information but it needs to be processed correctly.
- Data Engineers
If you are a Data Engineer then you will want to build a statistical or analytical model based on the structure of data in order to develop predictive models, which allow them to make predictions about the future based on past and current data. This can be very useful as many future events can be predicted by using past data, so Data Engineers can reduce future risk and reduce the cost of manufacturing.
- Data Scientists
If you are a Data Scientist then you will need to use mathematical methods which can analyse and interpret the data you are receiving. Data Science also have in-depth knowledge of Programming, Statistics, Machine Learning Algorithms that would help them in making accurate interpretations out of Big Data. The main objective of this type of analysis is to find the most likely value of an unknown variable. With their extensive analytical and other interdisciplinary skills, Data Scientists can literally play with data at the tip of their fingers.
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