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Practical Data Science


Sorting Out AI Job Titles, Skills, and Career Paths

Looking for a job in artificial intelligence? AI job titles vary wildly, which complicates job searches. Dr. Feiyu Xu, global head of artificial intelligence for SAP Cloud Platform, helps decode AI job titles and explains what skills each position needs.

Data Digest: AutoML, MLOps, and Algorithm Choice

Learn about the state of AutoML, the basics of MLOps, and finding the right data science algorithm.

Data Digest: Collaboration, Probable Answers, and Ethics for Data Science

How data scientists can work with data engineers, why data science doesn’t provide hard answers, and establishing ethical guidelines.

Data Stories: Economic Trends Due to COVID-19

These recent data visualizations provide multiple perspectives on current economic indicators in the U.S. Also, a quick chart that shows why every parent you know is tired.

3 Questions Business Leaders Should Ask Before Adopting a New BI Tool

To drive business forward anytime, anywhere, business leaders considering adopting a new BI tool should ask about these three key characteristics.

Data Stories: Perceiving Time, Working at Home, Financial Trends

These visualizations show how our perception of time can change, who has been able to work remotely, and the financial impact of the pandemic in Canada.

Data Digest: Data Science Culture, Hiring, and Training

How to support data science projects, hire the right skills, and train for data science work.

The Benefits of Balancing Self-Service and Enterprise Data Systems

If organizations use enterprise systems to solve common challenges, users can focus on resolving business questions and improving performance rather than on how to query and access data.

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