Data Science Career Opportunities
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Introduction
Data Science is a subject of study that has gained popularity over the last few years. With 2.5 quintillions bytes per person per day of data created daily from multiple resources in both structured and unstructured format, there arises the need to analyze it to run a business successfully. To be cognizant of career opportunities that are offered by data science, let us know before, something about data science itself.
What is Data Science?
Advantages of Data Science
A few advantages offered by data science are :
1. An increasing demand
Due to the quintillion bytes of data created every day, the demand for data scientists is increasing constantly. Therefore, data science in itself is becoming a sought out career field by both the freshers as well as experienced professionals to advance their career growth. There is a prediction that around 11.5 million jobs related to data science will be created by the year 2026. Almost every organization related to any field will be in requirement of data scientists as per its increasing demand in the coming years.
2. Contribution towards saving lives
A field of data science known as machine learning is contributing towards the early detection of cancerous cells, that can help in the treatment of such deadly diseases, at an earlier stage.
- The quality of services and products can be improved.
- Data Science opens the door for high paying jobs.
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Career Opportunities through Data Science
A promising career field like Data Science offers many career options to go for, a few of them are
1. Data Scientist
The data preparation tasks like cleaning of data, organizing them, etc are performed by data scientists. The advanced technologies such as machine learning and predictive modeling are worked upon by data scientists while going through vast amounts of all kinds of data.
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2. Data Analyst
The manipulation and subsequent transformation of large data sets is managed by Data Analysts. They also work towards web analytics , assisting senior level executives in garnering insights from their analysis, etc.
3. Machine Learning Engineer
Machine learning engineers work with technologies like deep learning and artificial intelligence for creating automation in data analysis.
4. Data Engineer
The development, construction of architectures, maintenance and testing of datasets and large-scale processing systems is managed by Data Engineer.
5. Statistician
They work in collection, analysing and interpretation of data using statistical techniques like regression, co-relation, etc, which helps decision-makers in their work. The trends and relationships within data is also identified by them .
6. Business Intelligence Developer
They are the necessary pillars of data science. Business Intelligence Developers are responsible for developing and designing policies which assists organization in forming efficient business policies.
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Conclusion
By going through the advantages and career options offered by Data Science, we can rest assured that Data Science is a lucrative career option that is a versatile field and at the same offers high paying career opportunities.
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