Data Science

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Introduction to Data Science

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1. The Skill Gap The demand for data science is sky-high, but there isn't much supply because of the lack of required skills. Equip yourself with the necessary skills to get hired in this sector.

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2. Increase Adoption Data-driven decisions enable companies to create new business opportunities, generate revenue, & produce actionable insights, making organizations more adaptable over time.

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3. Various Job Profiles Data science offers a wide variety of specialties to choose from - - Data scientist - Data analyst - Data Engineer - Data Architect & more.

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4. Career Advancement Opportunities Data scientists earn an average salary of $130,000, with LinkedIn ranking it as the most promising career of 2019 due to high advancement scores.

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5. In-Demand Skill 94% of data science graduates have gotten jobs in the field since 2011, with a 256% increase in data science job posts since 2013.

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6. Companies Struggle to Manage Data Businesses can't analyze or categorize all the data they collect, but 89% believe analyzing data would give them a competitive edge, so, they intend to keep data scientists for the long run.

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7. New Data Privacy Regulations Companies must use data in a beneficial way that aligns with privacy stipulations, making data scientists crucial to their success.

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