Discover the list of top 10 data science companies in India which you can aim to work for and make your career. To name a few Genpact, Mu Sigma, Kanerika etc.
In India, companies value hiring candidates who have professional certificates as they ensure their ability to do the job efficiently. There are numerous benefits to takingdata science and AI certification coursesin India: They verify your skills and ambitions. They are designed to match the company...
With the analytics industry now an integral part of the economy, there are scores of data science programmes in India that are being added by academic institutions. However, it can become confusing for students to decide on what courses best suit their needs. Hence, Analytics India Magazine surv...
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in India Starting from Just US $14/HourHire Data Scientist VE has the Credibility You Can Rely On Our Stats Speak a Compelling Story 70+ Data Science Experts 500+ Successful Projects Delivered 98.2% Client Retention Rate 5+ Years of Average ExperienceMake...
data scienceagricultural operationsIndiaprice analyticsAgricultural supply chains in the developing world face the daunting task of feeding a growing population in the coming decades. Along with the provision of food, sustaining livelihoods, enhancing nutrition and the ability to cope with rapid changes ...
in Data Science and Machine Learning. We see numerous students apply to our Masters in Analytics program every year, but are not able to invest efforts in a full Masters’ program. The IDM will provide a new point of entry for many early career professionals in India to bu...
It is expected that revenue from data science and AI, from both IT and non-IT industries, would be around 16 billion U.S. dollars, providing jobs to nearly 150,000 professionals in the next seven to eight years. The other key trend to be keenly observed in India's IT sector in the ...
Intuit India had the highest overall score index and was deemed the best place for data scientists to work in 2022.
Comments & Opinion02 Jul 2024 Nature Computational Science Volume: 4, P: 469-472 Data as the next challenge in atomistic machine learning As machine learning models are becoming mainstream tools for molecular and materials research, there is an urgent need to improve the nature, quality, and...