Data science is a multidimensional and dynamic field that combines various disciplines like statistics, machine learning, programming, etc. to give businesses key insights that are often not easily seen but are integral for the optimization of the business.
It is one of the hot buzzwords of the 21st century. This attention is not merely because of the dynamic nature of the field, but also because of the minefield of jobs that this field offers once you complete the necessary data science courses. The best part about this field is that it equips you with several skills that help you switch your career in any industry of your choice should you ever feel the need.
Below are some jobs that you can get once you complete your data science courses:
A data scientist accesses data from multiple, disconnected sources in order to find problems that might crop up for an organization and furnish appropriate solutions. Further, they build machine learning models to help the organization the ability to efficiently manage and mitigate any possible future risks.
They are expected to analyze the unstructured, give some structure, predict predicaments and offer actionable solutions.
They are expected to show astuteness in programming, statistical and mathematical arenas, machine learning. Further, they must be well versed about the organization and the industry they are working in.DATA ENGINEER
A data engineer is mainly entrusted with the task of building and managing data infrastructure to facilitate the work of the data analyst or data scientist. They help manage traffic, improve storage and aids in easier accessibility to past data.
This job listing for this profile will often be listed under data analyst/data scientist.
The skills that are required for the same are:
- Proficiency in Hive, Java, R
- Familiarity with APIs and ELT data tools.
- Adept in Software Engineering.
Data analysts collect data from a single source, process and analyze it using various techniques like data munging, data cleaning, data refining, etc to offer solutions to problems on the table and communicate them to other teams of the organization in an easily comprehensible manner.
They help everyone, even somebody from a non-technical background, grasp the root of technical problems.
They must have strong communication skills and analytical skills along with a technical skillset.
1.MACHINE LEARNING ENGINEER
Machine learning engineers can be seen as an extension of data scientists. The two job profiles fall under the large umbrella of data science.
Machine learning performs essentially the same role as a data scientist but has a more specialized role in tasks pertaining to machine learning.
Therefore, it would not be wrong to say that a data scientist with a specialization in machine learning is a machine learning engineer.
One is expected to show adeptness in data programming skills like Java, Python, etc and show skill proficiency in machine learning techniques. Also, you are to have a stronghold on mathematical, computer science and statistical concepts.
Data Science course in Chennai by ExcelR are an excellent way to kick start your career. They imbibe you with a stronghold on all that is necessary enabling you to secure good jobs. The fact worth acknowledging is that they have an excellent placement record.
ExcelR- Data Science, Data Analyst, Business Analyst Course Training Chennai
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