It is undeniable that Data Science is one of the hottest careers in the world, and it's going to stay that way until data-driven decisions become obsolete (which we all know isn't going to happen any time soon). However, a shortage of 250,000 data scientists is predicted by 2024 in the US alone – the global number will soar even higher. IBM anticipates demand for a whopping 700,000 job openings from 2020 onwards, and therefore it becomes even more important to meet these demands by developing the necessary skill-sets. The United States Data Science Institute (USDSI™) is committed to meet these demands and take the responsibility of developing the right talent, potential, and abilities to be efficient and well-qualified in data science.
USDSI™ tests every individual on their capabilities and checks them in every way possible before providing them the needed data science certification. All certification programs under USDSI™ play a vital role and offer you a modest advantage towards your career growth and employment. Employers worldwide are looking for authoritative and proven evidence to prove that incumbents and candidates know enough about it.
The USDSI's data science program is designed to deal with the future issues of data-driven decision-making and differentiate the thin line associated between Data Science and Artificial Intelligence. All the programs have the ability to equip you with the expertise and real-world skills in data science analysis that will help you advance in your career. You may be a student interested in data science, a professional with experience in data analysis and numbers, or just looking to switch careers, the USDSI™ certification programs offer the best way to become future-ready and achieve your professional goals. There is no need to invest a great deal of time from your busy schedule, but a minimum of 8 – 10 hours/week is all that’s required to gain the most latest and comprehensive data science knowledge.
USDSI™ offers three crucial and superior Data Science certifications for students, professionals looking to head-start their career, experienced professionals in the Data Science domain, and leaders who believe in informed decision-making.
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