Data Analysis using Python and Power BI - Khan, Amreen
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Data analysis using Python and Power BI has become a powerful combination for extracting insights from complex datasets. Python offers robust libraries such as Pandas and NumPy, which facilitate data manipulation and statistical analysis, allowing users to perform intricate calculations and transformations with ease. Meanwhile, Power BI excels in data visualization, enabling users to create interactive dashboards and reports that make insights accessible and understandable. Together, these tools empower analysts to uncover trends, identify patterns, and make data-driven decisions, ultimately enhancing organizational performance and strategy.…mehr

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Produktbeschreibung
Data analysis using Python and Power BI has become a powerful combination for extracting insights from complex datasets. Python offers robust libraries such as Pandas and NumPy, which facilitate data manipulation and statistical analysis, allowing users to perform intricate calculations and transformations with ease. Meanwhile, Power BI excels in data visualization, enabling users to create interactive dashboards and reports that make insights accessible and understandable. Together, these tools empower analysts to uncover trends, identify patterns, and make data-driven decisions, ultimately enhancing organizational performance and strategy.
Autorenporträt
Ms. Amreen Khan is an accomplished author with a strong academic background. She earned her Bachelor¿s degree in Computer Science Engineering (BE in CSE) and went on to complete her Master of Engineering in Wireless Communication and Computing. She has published papers in various journals and conferences, like Networking, fog computing etc.