Switch to a Rewarding Career in Data Science.
A Data Scientist is someone who is better at Statistics than any software Engineer and better at Software Engineering than any Statistician. They are responsible for discovering insights from massive amounts of structured and unstructured data to help shape or meet specific business needs and goals. The data scientist role in data analysis is becoming increasingly important as businesses rely more heavily on big data and data analytics to drive decision-making
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Who can be a data scientist ?
A Data scientist is sort of ‘jack-of-all-trades’ for data crunching. Basically, 3 main skills a data scientist needs to possess are mathematics/statistics, computer programming literacy and knowledge of particular business.
What is the Pay scale of a data scientist?
A data scientist earn an average salary of Rs 6,00,000 per year.
Experience influences the income of this job. The salary for a data scientist abroad can range anywhere from $100,000 to $120,000.
What are requisite skill set to be a data scientist?
Expertise in mathematics, technical and programming skills, business and strategy awareness combine to form Data Science.
Mathematics and Data Science – The core of building data product is the ability to view the huge volumes of data quantitatively. Building analytic models to solve business problems is usually hard math. Though statistics is an important part of data science, it is not the only type of math utilised.
Many inferential techniques and machine learning and linear algebra are used by data scientists. It is necessary for a data scientist to have an overall depth of knowledge in mathematics.
Technical and programming skills – Using technical skills to wrangle enormous data to create genuine solutions require complex programming skills. Data scientists need to be able to code – prototype quick solutions, as well as integrate with complex data systems. Core languages associated with data science include SQL, Python, R, and SAS. On the periphery are Java, Scala, Julia, and others.
Strong Business strategies – A data scientist must be able to view data through business lens. This helps translate the data observations made to solve business problems. Data scientists use the data insights as support to build better business strategies.