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Data Science and Analytics

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Every time you open an app, browse through the items or click an ad, you generate data. Companies usually retain this data to recommend more items of your taste in the future. It is called big data in technical terms. It reflects your consumer behaviour, purchase trends, and other crucial patterns for decision-making. The latter part is where data science comes into the picture! From healthcare enterprises to analytical firms, every industry has recognised the importance of data science. With such high demands for skilled data scientists and competition between organisations, companies are willing to pay as you want. Are you a fresher starting into Data Science or switching your career and want to know more about companies that offer promising jobs in Data Science? If yes, then you have arrived at the right place. This blog will give you some foundational insights on where to work as a Data…

Most of us are now aware of chatbots. When we type our questions into a chatbot assistant, it automatically provides relevant answers to our questions. The same goes for some of the modern-day internet search engines such as Google, Bing, and Yahoo. Now, The question arises how do these search engines understand our texts and provide very accurate answers at such a scale. OK, let me type this question into Google and let us see what I get as an answer.

A career in data science is enriching and resilient to significant global changes. In fact, the demand for data scientists increased exponentially during Covid-19 and the recent global economic recession. When unemployment rates were at their highest during the pandemic, data science professionals took home a base annual salary of almost $200,000 as individual contributors and a yearly salary of up to $300,000 as managers. Unlike other conventional jobs, a career in data science demands the right skills, advanced knowledge, and experience.