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Power BI Data Analyst Associate (PL-300) Cert Prep: Cleaning, Transforming, and Loading Data in Power BI

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Emilio Melo

1:16:17

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  • 01 - Transform your data for accurate reporting with Power Query in Power BI.mp4
    00:50
  • 02 - The PL-300 certification and exam.mp4
    04:46
  • 01 - The data treatment process on Power BI.mp4
    03:06
  • 02 - Profiling Power BI data.mp4
    06:32
  • 03 - Cleaning, transforming, and loading the data.mp4
    05:15
  • 04 - Profiling and loading your data.mp4
    10:49
  • 01 - Cleaning up your data.mp4
    08:53
  • 02 - Row and column transformations.mp4
    11:51
  • 01 - Identifying keys on your Power BI model.mp4
    03:06
  • 02 - Shaping and transforming tables.mp4
    05:58
  • 03 - Referencing and duplicating queries.mp4
    01:53
  • 04 - Work with tables and queries.mp4
    11:29
  • 01 - Power BI Additional resources.mp4
    01:49
  • Description


    Do you work with Microsoft Power BI, or are you preparing for the Power BI Data Analyst (PL-300) exam? This course, from experienced cloud solutions architect Emilio Melo, can help you. In this course, you will learn how to clean, transform, and load data on Power BI. Build your understanding of Power Query by learning about the data treatment process, how to profile data, and how to clean, transform, and load it into Power BI. Learn how to transform rows and columns, as well as manipulate queries and tables, on Power Query. Plus, get a quick overview of additional resources you can use to prepare for the exam. This course is part of a series designed to help learners earn their Power BI Data Analyst Associate certification from Microsoft.

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    It has been a fun and exciting career so far! On these past 20+ years of IT, I have: • Worked on support, consultancy, teaching, project and department management, and sales. That allowed me to have a well-rounded, holistic view of the IT industry; • Operated on 7 distinct countries in 4 continents (Americas/Europe/Oceania/Asia), which has taught me incredibly valuable lessons on multiculturalism and adaptability, so important on today’s dynamic and globalized business environment; • Been part of companies with enormous discrepancies in size (from 10 to 400,000 employees), stages (from start-ups to centenary organizations), and industries (IT, Insurance, Finance, Travel, News…), which gave me the clarity that every company is unique in terms of organizational culture and IT needs; Lately, after so many years on the On-Premises world, I have dedicated my time and expertise to Cloud and Data Sciences (Machine Learning/AI) technologies. That's the future, on which I truly believe! The potential for cost savings, better leveraging of computing resources, and intelligent solutions are breathtaking! If you’re not yet entirely convinced of such potential, feel free to connect and invite me for a chat. I’ll be glad to share my passionate, yet not unjustified, views on these subjects. Skills: • On-Premises/Server Technologies: SharePoint (2007/2016), SharePoint Designer/Workflow, InfoPath, Workflow Manager, Office Web Server, BCS, Project Server, SQL Server, SSIS, IIS, Visio, Windows, Active Directory, Exchange, Debugging Tools, OCS/Lync; • Development: PowerShell, Display Templates, REST API, C#, SQL development, HTML, JavaScript/jQuery, CSS/Bootstrap, Web Services, LINQ, Entity Framework, XML/JSON, ASP.NET, TFS, GIT, R; • Cloud/Data Sciences: Azure VMs, Azure Tables/Blobs, Microsoft Cognitive Services, LUIS, BOT Framework, Azure ML, Power BI, Azure SQL, SQL IaaS, Google AutoML Vision; • Management: MBA, Project Management (PMP), MS Project; • Languages: Portuguese, Spanish, English;
    LinkedIn Learning is an American online learning provider. It provides video courses taught by industry experts in software, creative, and business skills. It is a subsidiary of LinkedIn. All the courses on LinkedIn fall into four categories: Business, Creative, Technology and Certifications. It was founded in 1995 by Lynda Weinman as Lynda.com before being acquired by LinkedIn in 2015. Microsoft acquired LinkedIn in December 2016.
    • language english
    • Training sessions 13
    • duration 1:16:17
    • English subtitles has
    • Release Date 2023/07/02