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  • Safari, an O'Reilly Media Company.
  • We, Dan
  • Instructional films  (3)
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  • 1
    Online-Ressource
    Online-Ressource
    Power BI Masterclass : 8: Python, finance, and advanced DAX (2023)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781835085400 , 1835085407
    Sprache: Englisch
    Seiten: 1 online resource (1 video file (3 hr., 32 min.)) , sound, color.
    Ausgabe: [First edition].
    DDC: 658.4/038011
    Schlagwort(e): Microsoft Power BI (Computer file) ; Business intelligence Computer programs ; Information visualization Computer programs ; Dashboards (Management information systems) ; Python (Computer program language) ; Instructional films ; Nonfiction films ; Internet videos
    Kurzfassung: Microsoft Power BI is a powerful business analytics/data visualization tool that enables users to connect to various data sources, create interactive reports and dashboards, and gain insights from the data. With its intuitive interface and robust features, Power BI empowers users to make data-driven decisions and effectively communicate information with stakeholders. The course begins with setting up the Python environment for Power BI and then dives into using Python for data visualization in Power BI. It covers advanced DAX expressions and calculations, exploring a business dataset. You will also learn how to leverage Python libraries for data science in Power BI and create a balance sheet structure. The course includes applying custom visuals and culminates in creating a final dashboard. However, the Python concepts covered in this course cannot be considered comprehensive, only content related to Power BI usage requirements. Upon completing the course, you will gain advanced knowledge and skills in using Power BI for data visualization, analysis, and science. You will be proficient in setting up the Python environment in Power BI, leveraging Python for data visualization, and applying advanced DAX expressions and calculations, enabling you to effectively analyze/present data in various business scenarios. What You Will Learn Learn to integrate Python for data visualization in Power BI Master advanced DAX expressions and calculations Apply custom visuals to enhance your reporting capabilities Create balance sheet structures and evaluate balances using DAX Utilize Python's data science libraries for analysis in Power BI Build a comprehensive dashboard for effective data presentation Audience This course suits those interested in combining Power BI and Python and anyone wanting to explore Microsoft Power BI. If you want to excel in your work, explore new data analytics career opportunities, or lay the foundation for a successful future in the data era, this course equips you with the necessary skills. It also appeals to individuals seeking a better tool than QlikView and IBM Cognos. Prerequisites include Power BI, free to download with no additional costs, and a willingness to learn and explore new opportunities; all necessary files and materials will be provided. About The Author Dan We: Daniel Weikert is a 33-year-old entrepreneur, data enthusiast, consultant, and trainer. He is a master's degree holder certified in Power BI, Tableau, Alteryx (Core and Advanced), and KNIME (L1-L3). He is currently working in the business intelligence field and helps companies and individuals obtain vital insights from their data to deliver long-term strategic growth and outpace their competitors. He has a passion for learning and teaching. He is committed to supporting other people by offering them educational services and helping them accomplish their goals, gain expertise in their profession, or explore new careers.
    Anmerkung: Online resource; title from title details screen (O'Reilly, viewed August 3, 2023)
    URL: lizenzpflichtig
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
    BibTip Andere fanden auch interessant ...
    Online-Ressource
    MPI Ethno. Forsch.
  • 2
    Online-Ressource
    Online-Ressource
    Power BI tips and tricks (Includes time-saving ChatGPT prompts) (2023)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781805128557 , 1805128558
    Sprache: Englisch
    Seiten: 1 online resource (1 video file (2 hr., 6 min.)) , sound, color.
    Ausgabe: [First edition].
    DDC: 005.74/3
    Schlagwort(e): Microsoft Power BI (Computer file) ; Data mining Computer programs ; Information visualization Computer programs ; Visual analytics ; Instructional films ; Nonfiction films ; Internet videos
    Kurzfassung: Power BI is a powerful data visualization and analytics tool that enables users to create interactive dashboards and reports. To make the most out of your Power BI projects, ChatGPT can provide expert advice and guidance on how to effectively use Power BI, offering insights and recommendations for optimizing your Power BI projects. ChatGPT can assist in creating visually appealing visualizations, optimizing data models, and exploring advanced analytics capabilities. This course begins with a description and introduction of ChatGPT with Power BI Desktop, its advantages and features, and the use cases in detail. You will learn about dealing with changing Excel sheet names, handling file location changes, creating and using template files, and understanding the different file structure issues. We will then explore circular dependency errors and how to fix them using Power BI. We will advance to understand multiple folder data extraction and finally explore and clearly understand the new DAX functions (Offset, Index, and Window). Upon completing the course, you will learn to solve various problems using Excel files and Power BI Data sources and best practices; solve circular dependencies in Power BI, the M Language, and DAX functions; and use Power BI template files to enhance data modeling/analysis. What You Will Learn Learn to deal with file location changes in Power BI Handle Power BI by combining Excel files with different structures Efficiently extract data from multiple folders in Power BI Deep dive and explore the new DAX functionality Learn to handle Excel sheet renaming issues in bulk Understand circular dependency errors and how to fix them Audience This course is aimed at individuals wanting to become better Power BI developers or solve data issues with Excel files in Power BI. Data analysts, those wishing to follow this career path, and business users who work with Power BI and need to create DAX calculations will immensely benefit from this course. The prerequisites include having basic Power BI knowledge and attending the author's Power BI Masterclass for beginners to advanced first as an advantage. This course focuses strongly on Excel data sources and solving data issues and does not cover visualizations in Power BI Desktop. About The Author Dan We: Daniel Weikert is a 33-year-old entrepreneur, data enthusiast, consultant, and trainer. He is a master's degree holder certified in Power BI, Tableau, Alteryx (Core and Advanced), and KNIME (L1-L3). He is currently working in the business intelligence field and helps companies and individuals obtain vital insights from their data to deliver long-term strategic growth and outpace their competitors. He has a passion for learning and teaching. He is committed to supporting other people by offering them educational services and helping them accomplish their goals, gain expertise in their profession, or explore new careers.
    Anmerkung: "Published in April 2023.". - Online resource; title from title details screen (O'Reilly, viewed May 23, 2023)
    URL: lizenzpflichtig
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
    BibTip Andere fanden auch interessant ...
    Online-Ressource
    MPI Ethno. Forsch.
  • 3
    Online-Ressource
    Online-Ressource
    Grokking Algorithms Video Edition (2016)
    [Place of publication not identified] : Manning Publications
    Details
    ISBN: 9781617292231 , 1617292230
    Sprache: Englisch
    Seiten: 1 online resource (1 video file, approximately 3 hr., 49 min.)
    Ausgabe: 1st edition.
    DDC: 005.1
    Schlagwort(e): Computer algorithms ; Computer programming Handbooks, manuals, etc ; Electronic videos ; Algorithmes ; Programmation (Informatique) ; Guides, manuels, etc ; algorithms ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Kurzfassung: "This book does the impossible: it makes math fun and easy!" Sander Rossel, COAS Software Systems Grokking Algorithms is a fully illustrated, friendly guide that teaches you how to apply common algorithms to the practical problems you face every day as a programmer. You'll start with sorting and searching and, as you build up your skills in thinking algorithmically, you'll tackle more complex concerns such as data compression and artificial intelligence. Each carefully presented example includes helpful diagrams and fully annotated code samples in Python. Grokking Algorithms is a friendly take on this core computer science topic. In it, you'll learn how to apply common algorithms to the practical programming problems you face every day. You'll start with tasks like sorting and searching. As you build up your skills, you'll tackle more complex problems like data compression and artificial intelligence. Each carefully presented example includes helpful diagrams and fully annotated code samples in Python. By the end of this video editions course, you will have mastered widely applicable algorithms as well as how and when to use them. An algorithm is nothing more than a step-by-step procedure for solving a problem. The algorithms you'll use most often as a programmer have already been discovered, tested, and proven. If you want to understand them but refuse to slog through dense multipage proofs, you are at the right place. This fully illustrated and engaging guide makes it easy to learn how to use the most important algorithms effectively in your own programs. Inside: Covers search, sort, and graph algorithms Over 400 pictures with detailed walkthroughs Performance trade-offs between algorithms Python-based code samples This easy-to-read, picture-heavy introduction is suitable for self-taught programmers, engineers, or anyone who wants to brush up on algorithms. Aditya Bhargava is a Software Engineer with a dual background in Computer Science and Fine Arts. He blogs on programming at adit.io. Do you want to treat yourself to learning algorithms in the same way that you would read your favorite novel? If so, this is the book you need! Sankar Ramanathan, IBM Analytics In today's world, there is no aspect of our lives that isn't optimized by some algorithm. Let this be the first book you pick up if you want a well-explained introduction to the topic. Amit Lamba, Tech Overture, LLC Algorithms are not boring! This book was fun and insightful f...
    Anmerkung: Online resource; Title from title screen (viewed May 1, 2016)
    URL: lizenzpflichtig
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
    BibTip Andere fanden auch interessant ...
    Online-Ressource
    MPI Ethno. Forsch.
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