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The Google Data Analytics Certification gave me legitimacy in data analytics. This system also gave me the ability to say, with total self confidence, that I'd training in important areas of data analytics like Tableau and SQL.
The data age boosted the creation of data visualization, thanks to computer systems and spreadsheet programs for example Microsoft Excel. Data could be digitized, categorized, and presented visually in the form of graphs, charts, and pie AI-enhanced visuals diagrams easily. With the appearance of Business Intelligence (BI) tools, data visualizations become refined and easy to share using dashboards. But as data carries on to raise, conventional visualization tools wrestle to process significant datasets, present a comprehensive picture, and offer granular insights. Developing participating and aesthetically satisfying visualizations normally takes loads of human exertion and time. More, personalizing them for a specific Division or location, a business conference or yearly review meetings, or a vital stakeholder demands further endeavours. This delay might cause the insights to become stale with the time they reach a decision maker. The delays usually do not stop at creation, but boost multifold when it comes to updating the visualizations.
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