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    https://sophisticatedspectra.com/article/drosia-serenity-a-modern-oasis-in-the-heart-of-larnaca.2521391.html

    DROSIA SERENITY
    A Premium Residential Project in the Heart of Drosia, Larnaca

    ONLY TWO FLATS REMAIN!

    Modern and impressive architectural design with high-quality finishes Spacious 2-bedroom apartments with two verandas and smart layouts Penthouse units with private rooftop gardens of up to 63 m² Private covered parking for each apartment Exceptionally quiet location just 5–8 minutes from the marina, Finikoudes Beach, Metropolis Mall, and city center Quick access to all major routes and the highway Boutique-style building with only 8 apartments High-spec technical features including A/C provisions, solar water heater, and photovoltaic system setup.
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    Data Preparation in Power BI with the M Language

    Posted By: IrGens
    Data Preparation in Power BI with the M Language

    Data Preparation in Power BI with the M Language
    .MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 35m | 104 MB
    Instructor: Avdhesh Gaur

    Elevate your data preparation skills in Power BI by mastering the M Language. Discover its purpose, structure, and applications to efficiently perform essential data transformation and cleaning tasks empowering you to build robust data pipelines.

    What you'll learn

    Data preparation is often the most time-consuming and challenging aspect of the analytics process, leaving many professionals feeling overwhelmed and underprepared. In this course, Data Preparation in Power BI with the M Language, you’ll gain the ability to effectively prepare your data for insightful analysis.

    First, you’ll explore the purpose and structure of the M Language, providing a solid foundation for your data preparation journey. Next, you’ll discover how to access the Power Query advanced editor to harness the full potential of M language for your data tasks. Finally, you’ll learn how to perform common data transformation tasks, such as removing rows and columns, pivoting and unpivoting data along with the essential data cleaning techniques, such as trimming spaces, removing null values, and many more.

    When you’re finished with this course, you’ll have the skills and knowledge of the M Language needed to build robust data pipelines and streamline your data preparation process.


    Data Preparation in Power BI with the M Language