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Top 14 Must-Read Data Science Books You Need On Your Desk

Data Pine

The ever-evolving, ever-expanding discipline of data science is relevant to almost every sector or industry imaginable – on a global scale. It is also wise to clearly make a difference between data science and data analytics in a business context so that the exploration of the fields bring extra value for interested parties.

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A Guide To Starting A Career In Business Intelligence & The BI Skills You Need

Data Pine

4) Business Intelligence Job Roles. Does data excite, inspire, or even amaze you? Do you find computer science and its applications within the business world more than interesting? If you answered yes to any of these questions, you may want to consider a career in business intelligence (BI).In

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The Book Look: Quick Retrospect

The Data Administration Newsletter

Steve Hoberman has been a long-time contributor to The Data Administration Newsletter (TDAN.com), including his The Book Look column since 2016, and his The Data Modeling Addict column years before that.

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The Book Look: Data Literacy

The Data Administration Newsletter

With everyone talking about becoming more data literate, it’s a wonder that there are no books on data literacy – until now.

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A beginner’s guide to start a career in Business Analytics

Analysts Corner

Learn about data and databases Business analysts work with data, so it’s essential to have a solid understanding of data structures, databases, and data warehousing. You can learn about these topics by taking online courses or reading books on data management and database design.

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The AI Playbook: Providing Important Reminders to Data Professionals

The Data Administration Newsletter

Eric Siegel’s “The AI Playbook” serves as a crucial guide, offering important insights for data professionals and their internal customers on effectively leveraging AI within business operations.

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The End of Agile – Part 1 (A Brief History of Agile)

The Data Administration Newsletter

In recent years, we have seen substantial pushback on many fronts against Agile as a viable and important project management methodology.

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