That’s not to say tools don’t matter; today’s data analyst absolutely needs to be able to use at least a few of the most common tools such as Excel, SQL, Tableau, Power BI, R or Python. Such ...

The folks at CrowdFlower recently did an analysis of the 3,490 postings for data science jobs on LinkedIn, and sorted out the top 21 individual skills that appear most often. Some of the results were ...

U, a global leader in education technology, today announced an expansion of its partnership with IBM to launch six new ...

In fact, as a recent Terence Shin analysis of more than 15,000 data scientist job postings suggests, Python adoption keeps growing even as the more specialist R language is in decline.

Open to analysts with three to eight years of experience, the program teaches them Python, a ubiquitous coding language on Wall Street, and how to apply it to take advantage of the latest AI ...

SEE: The IT skills gap is getting worse. Here are 10 ways you can avoid a crisis Data analysis was seen in 32.69% of data science coding tests.