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DATA SCIENCE 2024 KNOW TECHNOLOGIES GUIDING YOUR FUTURE

According to Allied Market Research, the Data Science market is set to grow at a CAGR of 33.6%! This rise is going to open doors to a number of career opportunities and education programs designed to produce skilled Data Science professionals for the future.

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DATA SCIENCE 2024 KNOW TECHNOLOGIES GUIDING YOUR FUTURE

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  1. DATA SCIENCE 2024: KNOW TECHNOLOGIES GUIDING YOUR FUTURE © Copyright 2023. United States Data Science Institute. All Rights Reserved us dsi .org

  2. Global Data Science Market is going to be a Multi-Million-Dollar Industry by 2030 -By Benzinga.com Data Science technologies have been expounded at an astounding rate with the emergence of the latest technological advancements. No doubt, the industry has picked up massively over the decades. The data science industry has shown a promising rate of growth and is predicted to reach around USD 501.03 billion by 2032 (as per Precedence Research). The global data science market platforms are sure to surge further with the ever-increasing demand for specialized data science professionals. It is imperative to understand the core capabilities of this incredible field of data science and what it entails for the greater good of the world economy. What is Data Science? Data Science is a specialized branch of study that encompasses mathematics, statistics, advanced analytics, artificial intelligence, specialized programming, machine learning, and much more. Data science as a career has garnered much attention over the decades with a high number of aspirants turning their sails toward the promising industry. Data Science Industry Growth Worldwide: The Global Data Science Platform Market Size is expected to reach a market value of $150.22 billion in 2024 Precedence Research as per . This is a clear indication of the surge of data science opportunities as well as the demand for credible data science certifications in order to build a thriving career. High-paying Job Roles in Data Science: Data Analyst Business Intelligence Scientist Machine Learning Engineer Data Architect Statistician Analytics Manager Database Administrator Business Analyst Ÿ Ÿ Ÿ Ÿ Ÿ Ÿ Ÿ Ÿ © Copyright 2023. United States Data Science Institute. All Rights Reserved usdsi.org 1

  3. Top Global Companies Hiring Skilled Data Science Professionals: Microsoft Azure- One of the largest cloud computing services of Microsoft is the top-ranking hiring division of Microsoft for data scientist positions. Amazon Career opportunities for data scientists are prevalent across teams in Alexa, AWS, and more. Ernst & Young USD 152,310 You can earn up to EY which may differ fractionally across locations and employers annually as a skilled data scientist at © Copyright 2023. United States Data Science Institute. All Rights Reserved 2 us dsi .org

  4. Google (Alphabet) Take home a yearly massive compensation of USD 590,000 as a data scientist at Google Wallmart Walmart utilizes big data efficiencies to improve the company’s overall efficiency, reduce costs, and enhance the customer experience. VMware Vmware relies heavily on data science specialists to drive research, anomaly detection, cryptographic agility, cache-adaptive algorithms, and CloudCast. JPMorgan Chase & Co. The AI and ML team consists of over 1700 skilled workforce, consisting of over 900 data scientists, over 600 ML engineers, and over 200 AI researchers. © Copyright 2023. United States Data Science Institute. All Rights Reserved us dsi 3 .org

  5. Data Science Mechanism: Data Data Problem Processing Collection Data Analysis Data Result Exploration Communication Top Skills Required to become a Data Scientist: It is essential to live up to the 20-80 relationship rule of the data science skillsets. Let us understand the technical and non-technical skills that count for 20% of the skills bucket and command 80% of the role they play in building the right data science structures. TECHNICAL SKILLS Data wrangling and cleaning Basic Scientific computing and visualization Model implementation Feature Engineering Structured Database Management NON-TECHNICAL SKILLS Data storytelling to non-technical audiences Asking Intelligent questions Contextual pros and cons of Machine learning algorithms Foundational understanding of Statistics Ÿ Ÿ Ÿ Ÿ Ÿ Ÿ Ÿ Ÿ Ÿ Will automated tools render data scientists out of job? For those of you who think otherwise, Data Science is here to stay! Data science is not oversaturated as it still offers a large playfield to experiment and enlarge your horizon. Skilled data scientists are necessary for solving business problems, bringing forth data-driven solutions, deploying a sea of resources to organizational rescue, and leveraging high growth rates for businesses. With the rise of automated tools such as AutoML, DataRobot, and others; it enables predictive modeling and renders easy access to better decision-making. As no two business problems are the same, deploying the same tools and strategies may ruin the entire game plan. This is where a seasoned data scientist comes into play. What makes a great data scientist? Data scientist being specialized data professional, allows access to top-class industry tools and strategies that could lead to a higher gain strategy for the businesses. A data scientist in order to become an asset for the organization, must master the best data science certifications from the world's leading brands. Credible data scientists' skills gracing their portfolio is a huge kick to further the employability track of a data science professional. © Copyright 2023. United States Data Science Institute. All Rights Reserved 4 usdsi.org

  6. Top 9 Data Science Technologies Strengthening the Future: 1. ARTIFICIAL INTELLIGENCE Artificial intelligence is revolutionizing data analytics by leaps and bounds with real-time data analysis; yielding in-time business insights in order to improve business performance. New AI Statistics reveal that about 35% of companies are already using AI in their business. 2. AUTOMATED MACHINE LEARNING Gartner stated that over 40% of data science tasks will be automated and the years to follow shall experience a surge in the percentage of automation. 3. BLOCKCHAIN Blockchain being a decentralized system of records that are immune to hacking or infiltration; allows enough space for data science in easy data traceability. 4. CLOUD-SERVICES Canalys Research, a global tech market analyst firm; reveals that AWS has a 32.3% share of the market with 16.9% for Microsoft Azure and 5.8% for global cloud percentage. 5. AUDIO-VISUAL REALITY SYSTEMS The annual growth of the VR and AR market is soaring at around 70% based on the figures closing in 2023. This enables enhanced generation of insightful data visualizations and faster data interactions. 6. INTERNET OF THINGS IoT utilizes different algorithms, and time-series models such as ARIMA, Holt-Winters, and moving averages; yielding better sensor fusion and real-time business implementations. 7. BIG DATA Big data in data science is a subset that allows easy management of huge unstructured data that comes from an experienced data scientist. 8. QUANTUM COMPUTING Quantum computing allows revolutionary processing, analysis, and insight extraction for massive datasets. 9. DIGITAL TWINS McKinsey & Company states that digital twins offer improvement in commercial efficiency by about 10%. © Copyright 2023. United States Data Science Institute. All Rights Reserved 5 us dsi .org

  7. Stay ahead of the top 9 technologies by: Hiring cutting-edge research leaders from top universities to solve industry problems Actively partnering with leading research institutions to commercialize advanced algorithms Continually develop new technology and raise the bar for others Proactively engage in community discussions, demystifying AI for all. Mastering these latest data science technologies from reputed data science certifications like the USDSI's Certified Senior Data Scientist (CSDS™) Ÿ Ÿ Ÿ Ÿ Ÿ Conclusion It is time to drive multitudinous growth for businesses worldwide by acknowledging high-end technological advancements and allowing for easy access to quality data science certifications for the greater good. Begin an informed data science career trajectory today! © Copyright 2023. United States Data Science Institute. All Rights Reserved 6 us dsi .org

  8. About The United States Data Science Institute ® (USDSI ) is deemed a high-end and in-depth technical certification provider for Data Science Professionals and leads the global panorama in Data Science Organizational Transformation, Innovation, and Leadership. USDSI researches, designs, and certifies personnel who enter or engage in various emerging Data Science Majors. CERTIFICATIONS ® REGISTER NOW LOCATIONS Arizona Connecticut Illinois 1345 E. Chandler BLVD., Suite 111-D Phoenix, AZ 85048, info.az@usdsi.org Connecticut680 E Main Street #699, Stamford, CT 06901 info.ct@usdsi.org 1 East Erie St, Suite 525 Chicago, IL 60611 info.il@usdsi.org Singapore United Kingdom No 7 Temasek Boulevard#12-07 Suntec Tower One, Singapore, 038987 Singapore, info.sg@usdsi.org 29 Whitmore Road, Whitnash Learmington Spa, Warwickshire, United Kingdom CV312JQ info.uk@usdsi.org info@usdsi.org | www.usdsi.org © Copyright 2023. United States Data Science Institute. All Rights Reserved

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