The task of Business Science is to use AI, analytics and data science techniques and provide tools and advanced capabilities to the business users who are not necessarily programmers.
Data science is a highly specialised field. As a result, tasks such as data cleaning and data preparation become critical for organisations as any inaccuracies may lead to project failures. The risk is even higher when non-specialists handle the data. “To build truly data-driven organisations, we need to unlock the power of data for as many people as possible,” said Francois Ajenstat, Chief Product Officer at Tableau.
In Conversation With Dr Suman Sanyal, NIIT University,he shares his insights on how universities can contribute to this highly promising sector and what aspirants can do to build a successful data science career.
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Data Science and Analytics market evolves to adapt to the constantly changing economic and business environments. Our latest survey report suggests that as the overall Data Science and Analytics market evolves to adapt to the constantly changing economic and business environments, data scientists and AI practitioners should be aware of the skills and tools that the broader community is working on. A good grip in these skills will further help data science enthusiasts to get the best jobs that various industries in their data science functions are offering.
The biggest problem we face today is the commoditization of education. Individuals and corporations alike would like quality courses to be offered by the best faculty at the lowest price
For this week’s latest data science job openings, we have come up with a curated list of job openings for data scientists and analysts.