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Recruiting for the Data Sciences Evaluating Candidates for Your Data Teams Approaches to Hiring: 1. The right job description: 3. The interview and selection process: 4. Conclusion

So you know what you need in a good data scientist, but do you know how to evaluate these fundamental skills? What resources are available to support your decision-making process?…

Data Science Digest Clicking, Typing, Hovering and Scrolling with Selenium Clicking Buttons Entering Text Moving the Mouse Scrolling Conclusion

So you've tried to scrape some data from the latest website, only to realize your current tool set of parsing HTML pages no longer suffices. With the rise of AJAX,…

Data Science Digest Assessing Sentiment and Other Insights with Twitter Data Getting Started with Tweepy Pagination Rate Limits Sentiment Analysis Measuring Brand Affinity Creating a Stream Listener Legal Considerations Conclusion

How can you use the Twitter API to keep a pulse on your customer base or market trends? From tracking followers to analyzing brand affinity, we’ll take a look at…

Recruiting for the Data Sciences What Makes a Good Data Scientist? Fundamental Things to Look for in a Data Scientist: In Closing:

Data science as a practice has exploded in the last 15 years, and is expected to continue its rapid growth in the coming years. This growth is supported by an…

Data Science Digest Executing Messy Joins

In building a data-driven organization, unifying disparate datasets is essential, providing a comprehensive baseline for modeling and analysis. But joining data together to establish this baseline can be messy. (more…)

Innovation and Transformation Small & Medium Businesses: Kick starting the analytics journey

Small & Medium Business Enterprises (SMBs) are typically characterized by having less than 500 employees. Forbes publishes an impressive list of these ‘small giants’, who showcase the best in American…

Innovation and Transformation People, Process & Technology Levers to Optimize Analytics

COVID-19 Is changing analytics spending, with 97% of companies pursuing cloud-based analytics and collaboration technologies for the growing number of analytics professionals now working remotely. Today, businesses expect analytics to…

Innovation and Transformation Effectively hire and retain a Data Science team in the midst of a crisis

The 2012 article ‘Data Scientist: The Sexiest Job of the 21st Century’ talks about the emergence of Data Science, with LinkedIn as a case study for how to get started. …

Innovation and Transformation Evolving your analytics programs for the current moment

Complete your transition to the Cloud More than ever, managing your information in a distributed way is important. Not only can it help you realize efficiencies in processing, but it…

What IT Managers Need to Know about Data Science We can’t keep qualified data talent…What should we do? Chisel Analytics

A few months after you hire a data scientist or engineer for your team, they come to you and give you their two-week notice. They tell you that they received…

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