{"id":8075,"date":"2024-11-14T08:05:32","date_gmt":"2024-11-14T08:05:32","guid":{"rendered":"https:\/\/mentormeright.in\/blog\/?p=8075"},"modified":"2024-11-14T08:59:01","modified_gmt":"2024-11-14T08:59:01","slug":"roadmap-for-a-data-science-career-in-india","status":"publish","type":"post","link":"https:\/\/mentormeright.in\/blog\/2024\/11\/14\/roadmap-for-a-data-science-career-in-india\/","title":{"rendered":"Roadmap for a Data Science Career in India"},"content":{"rendered":"\t\t
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\r\n \nThe Rising Scope of Artificial Intelligence Careers in India\n\n\n\n\n\n\n\n\n <\/h1>\r\n \r\n <\/div>\r\n <\/div>\r\n \t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Data science is a massively expanding field and India has emerged as a global hub for data science, offering numerous opportunities for aspiring professionals. The field offers high demand, competitive salaries, and opportunities for growth across various industries.<\/span><\/p>

\u00a0According to <\/span>Mordor Intelligence<\/i><\/b>, the total market size for Big Data in India will reach $2.17 billion in 2024 and grow to $3.38 billion by 2029, growing at a rate of 7.66 percent CAGR.\u00a0Here's a comprehensive roadmap to guide you through your data science career journey in India.<\/span><\/p> <\/div>\r\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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\n\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\tCheck out our Training Programs<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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What is Data Science<\/b><\/h2> <\/div>\r\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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It is an interdisciplinary field building upon the knowledge and tools from Mathematics, Statistics and Computer science. A Data Scientist employs mathematical and statistical techniques along with computer modeling and software to derive insights and information from both structured (e.g., databases in MS-Excel or SQL) and unstructured data (e.g., written text, images, and videos). They handle diverse data types, ranging from population and income data to images, videos, and GPS data. Data Scientists utilize computer modeling and algorithm development to extract insights from vast datasets that may exceed the capabilities of traditional statistical and mathematical tools alone.<\/span><\/p> <\/div>\r\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Data Scientist vs Data Analyst<\/b><\/h2> <\/div>\r\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Both data scientists and data analysts work with large amounts of data; however, their roles are separate. Their roles differ in complexity and scope. An analyst primarily interprets existing data, identifies trends, and creates reports to inform business decisions. They use\u00a0<\/span>data analysis tools<\/span>\u00a0like Excel, SQL, and visualization software to make data accessible.\u00a0<\/span><\/p>

On the other hand, a data scientist builds predictive models, using machine learning algorithms and working with big data to extract insights and drive strategy. They require a strong background in statistics, programming, and advanced analytics to create data-driven solutions for complex business problems.<\/span><\/p> <\/div>\r\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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\u00a0Educational Foundation<\/b><\/h2> <\/div>\r\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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