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Busting the “Excel is dead” Myth!

Analysts Corner

Asking computer science engineers to work on Excel can disappoint candidates who are looking forward to working on more sophisticated tools such as Tableau, Python, SQL, and other data quality and data visualisation tools. This is on top of the data analysis that I have done using SQL or profiling tools such as Alteryx.

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Why you need a project analyst

Monday

Data analysis. Poor data quality costs businesses millions of dollars every year. Since projects are central to organizational success, the project analyst should be adept at data analysis. The government. Analysts gather data from each stakeholder and communicate it to the project manager and team.

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The Trouble with Putting AI to Work—and How to Do It

Domo

One of the defining characteristics of the AI developmental process is its need to be iterative; because of the heightened need for data quality and data volume, and the interrelationships between the training data, the model, and the interface data, iteration is critical to ending up with a robust, scalable, and deployable model.