Most data analysts spend 40% to 80% of their time cleaning, formatting, and updating reports, which adds little value but consumes entire days.
At the same time, Python automation and GenAI are now becoming must-have skills, appearing in a growing number of data analyst and data engineer job descriptions.
This 3-hour live workshop is designed to ...
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