Vignan Institute of Technology and Science > Blog > How To Start A Career in Data Science?
Data Science Degree

Data science is the most in-demand job this year with the highest salary among any other career options. The reason behind this is the advancement in technology and innovation that is gaining even faster speed every year.

A data scientist with a Data Science Degree can work in any industry he/she wants such as retail, e-commerce, transportation logistics, finance and banking, insurance and health care, real estate etc. 

So, if you are wondering how to start your career as a data scientist, follow the mentioned steps:

1. Education 

A Bachelor’s degree in the field of information technology, statistics, or computer science is mandatory to enter the field of data science. A special Data Science Degree will give you an edge against your competitors as well. 

There are various universities such as Vignan Institute of Technology & Science, Deshmukhi which specialize in such courses. Other qualifying courses that a data scientist should have proper knowledge about our Excel to SQL, statistics, Python and software courses like Tableau.

2.   Skills Required 

Any company hiring a data scientist will require the individual to have a required set of technical, practical and soft skills. Technical skills include knowledge of coding languages such as R, Python, Java, etc., expertise in SQL, advanced knowledge of sampling, intervals, quantitative methods in statistics and predictive modelling. 

Practical skills will include strong attention to detail and focus on the quality check, data interpretation skills, problem-solving, prioritization skills, easy communication of data with limited use of technical jargon, and leadership skills. Data scientist is required to have quick learning skills as well as they are expected to use innovative methods to solve the given problem.

A Data Science Degree will also be teaching many soft skills to the students such as communication skills, good listening skills, articulation skills and teamwork.

3. Specialize in a Tool or a Language 

A Data Science Degree will teach you many tools and languages to analyze data, but it is important to stick to one language in data science. This will increase your value in the market. Make sure that you are focusing on practical applications and not just theoretical learning. 

4.   Gain Experience 

You can get your Data Science Degree from Autonomous Engineering Colleges in Hyderabad or anywhere around India from the best institutes. After this, your priority should be to get experience in the field of data science by doing internships and jobs. 

There are many companies which offer internship opportunities to freshers in the field of data science such as Facebook, Instagram, Twitter, Apple, Airbnb, Linkedin, IBM, Paypal and many more.

These companies are always looking for exceptional data scientists as most of their business is run by data science professionals.

5.   Choose Your Specialized Career 

There are many options under data science in which you can specialize in. A data scientist can become a machine learning engineer, machine learning scientist, application architect, infrastructure architect, data engineer, data architect, data engineer, business intelligence developer, or statistician. 

All the above-mentioned career specializations are always in constant demand and choosing a specialization according to your skills is very important to increase the value of your CV.

Follow the above-mentioned steps to open your career opportunities in the field of data science. 

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