Exam Ref 70 778 Analyzing And Visualizing Data With Microsoft Power Bi
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Exam Ref 70 778 Analyzing And Visualizing Data With Microsoft Power Bi
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Author : Daniil Maslyuk
language : en
Publisher: Microsoft Press
Release Date : 2018-06-07
Exam Ref 70 778 Analyzing And Visualizing Data With Microsoft Power Bi written by Daniil Maslyuk and has been published by Microsoft Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-06-07 with Computers categories.
Prepare for Microsoft Exam 70-778–and help demonstrate your real-world mastery of Power BI data analysis and visualization. Designed for experienced BI professionals and data analysts ready to advance their status, Exam Ref focuses on the critical thinking and decision-making acumen needed for success at the MCSA level. Focus on the expertise measured by these objectives: Consume and transform data by using Power BI Desktop Model and visualize data Configure dashboards, reports, and apps in the Power BI Service This Microsoft Exam Ref: Organizes its coverage by exam objectives Features strategic, what-if scenarios to challenge you Assumes you have experience consuming and transforming data, modeling and visualizing data, and configuring dashboards using Excel and Power BI
Exam Ref 70 778 Analyzing And Visualizing Data By Using Microsoft Power Bi
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Author : Daniil Maslyuk
language : en
Publisher: Microsoft Press
Release Date : 2018
Exam Ref 70 778 Analyzing And Visualizing Data By Using Microsoft Power Bi written by Daniil Maslyuk and has been published by Microsoft Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with Computers categories.
Prepare for Microsoft Exam 70-778-and help demonstrate your real-world mastery of Power BI data analysis and visualization. Designed for experienced BI professionals and data analysts ready to advance their status, Exam Ref focuses on the critical thinking and decision-making acumen needed for success at the MCSA level. Focus on the expertise measured by these objectives: Consume and transform data by using Power BI Desktop Model and visualize data Configure dashboards, reports, and apps in the Power BI Service This Microsoft Exam Ref: Organizes its coverage by exam objectives Features strategic, what-if scenarios to challenge you Assumes you have experience consuming and transforming data, modeling and visualizing data, and configuring dashboards using Excel and Power BI
Exam Ref Da 100 Analyzing Data With Microsoft Power Bi
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Author : Daniil Maslyuk
language : en
Publisher:
Release Date : 2021
Exam Ref Da 100 Analyzing Data With Microsoft Power Bi written by Daniil Maslyuk and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with categories.
Prepare for Microsoft Exam DA-100 and help demonstrate your real-world mastery of Power BI data analysis and visualization. Designed for experienced data analytics professionals ready to advance their status, Exam Ref focuses on the critical thinking and decision-making acumen needed for success at the Microsoft Certified Associate level. Focus on the expertise measured by these objectives: Prepare the data Model the data Visualize the data Analyze the data Deploy and maintain deliverables This Microsoft Exam Ref: Organizes its coverage by exam objectives Features strategic, what-if scenarios to challenge you Assumes you are an experienced business intelligence professional or data analyst, or have a similar role Analyzing Data with Microsoft Power BI About the Exam Exam DA-100 focuses on skills and knowledge needed to acquire, profile, clean, transform, and load data; design and develop data models; create measures with DAX; optimize model performance; create reports and dashboards; enrich reports for usability; enhance reports to expose insights; perform advanced analysis; manage datasets, and create and manage workspaces. About Microsoft Certification Passing this exam earns your Microsoft Certified: Data Analyst Associate certification, demonstrating your ability to help businesses maximize the value of data assets by using Microsoft Power BI. As subject matter experts, Data Analysts design and build scalable data models, clean and transform data, and enable advanced analytic capabilities that provide meaningful business value through easy-to-comprehend data visualizations. See full details at: microsoft.com/learn.
Exam Ref 70 778 Analyzing And Visualizing Data With Microsoft Power Bi
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Author : Brett Powell
language : en
Publisher:
Release Date : 2018
Exam Ref 70 778 Analyzing And Visualizing Data With Microsoft Power Bi written by Brett Powell and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with Business categories.
Exam Ref 70 779 Analyzing And Visualizing Data With Microsoft Excel
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Author : Chris Sorensen
language : en
Publisher: Microsoft Press
Release Date : 2018
Exam Ref 70 779 Analyzing And Visualizing Data With Microsoft Excel written by Chris Sorensen and has been published by Microsoft Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with Computers categories.
Prepare for Microsoft Exam 70-779-and help demonstrate your real-world mastery of Microsoft Excel data analysis and visualization. Designed for BI professionals, data analysts, and others who analyze business data with Excel, this Exam Ref focuses on the critical thinking and decision-making acumen needed for success at the MCSA level. Focus on the expertise measured by these objectives: Consume and transform data by using Microsoft Excel Model data, from building and optimizing data models through creating performance KPIs, actual and target calculations, and hierarchies Visualize data, including creating and managing PivotTables and PivotCharts, and interacting with PowerBI This Microsoft Exam Ref: Organizes its coverage by exam objectives Features strategic, what-if scenarios to challenge you Assumes you have a strong understanding of how to use Microsoft Excel to perform data analysis
Pro Dax With Power Bi
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Author : Philip Seamark
language : en
Publisher: Apress
Release Date : 2019-12-10
Pro Dax With Power Bi written by Philip Seamark and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-10 with Computers categories.
Learn the intricate workings of DAX and the mechanics that are necessary to solve advanced Power BI challenges. This book is all about DAX (Data Analysis Expressions), the formula language used in Power BI—Microsoft’s leading self-service business intelligence application—and covers other products such as PowerPivot and SQL Server Analysis Services Tabular. You will learn how to leverage the advanced applications of DAX to solve complex tasks. Often a task seems complex due to a lack of understanding, or a misunderstanding of core principles, and how certain components interact with each other. The authors of this book use solutions and examples to teach you how to solve complex problems. They explain the intricate workings of important concepts such as Filter Context and Context Transition. You will learn how Power BI, through combining DAX building blocks (such as measures, table filtering, and data lineage), can yield extraordinary analytical power. Throughout Pro Dax with Power BI these building blocks are used to create and compose solutions for advanced DAX problems, so you can independently build solutions to your own complex problems, and gain valuable insight from your data. What You Will Learn Understand the intricate workings of DAX to solve advanced problems Deconstruct problems into manageable parts in order to create your own recipes Apply predefined solutions for addressing problems, and link back step-by-step to the mechanics of DAX, to know the foundation of this powerful query language Get fully on board with DAX, a new and evolving language, by learning best practices Who This Book Is For Anyone who wants to use Power BI to build advanced and complex models. Some experience writing DAX is helpful, but not essential if you have experience with other data query languages such as MDX or SQL.
Power Bi Data Analysis And Visualization
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Author : Suren Machiraju
language : en
Publisher: Deg Press
Release Date : 2018
Power Bi Data Analysis And Visualization written by Suren Machiraju and has been published by Deg Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with Computers categories.
This book will provide you a roadmap on vendor choices and highlight why Microsoft's Power BI is a very viable, low-priced option for data visualization. Covering both the fundamentals as well as discussions on both the most commonly used and adva
Data Pipelines With Apache Airflow
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Author : Bas P. Harenslak
language : en
Publisher: Simon and Schuster
Release Date : 2021-04-27
Data Pipelines With Apache Airflow written by Bas P. Harenslak and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-27 with Computers categories.
For DevOps, data engineers, machine learning engineers, and sysadmins with intermediate Python skills"--Back cover.
A Primer On Scientific Programming With Python
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Author : Hans Petter Langtangen
language : en
Publisher: Springer
Release Date : 2014-08-01
A Primer On Scientific Programming With Python written by Hans Petter Langtangen and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-08-01 with Computers categories.
The book serves as a first introduction to computer programming of scientific applications, using the high-level Python language. The exposition is example and problem-oriented, where the applications are taken from mathematics, numerical calculus, statistics, physics, biology and finance. The book teaches "Matlab-style" and procedural programming as well as object-oriented programming. High school mathematics is a required background and it is advantageous to study classical and numerical one-variable calculus in parallel with reading this book. Besides learning how to program computers, the reader will also learn how to solve mathematical problems, arising in various branches of science and engineering, with the aid of numerical methods and programming. By blending programming, mathematics and scientific applications, the book lays a solid foundation for practicing computational science. From the reviews: Langtangen ... does an excellent job of introducing programming as a set of skills in problem solving. He guides the reader into thinking properly about producing program logic and data structures for modeling real-world problems using objects and functions and embracing the object-oriented paradigm. ... Summing Up: Highly recommended. F. H. Wild III, Choice, Vol. 47 (8), April 2010 Those of us who have learned scientific programming in Python ‘on the streets’ could be a little jealous of students who have the opportunity to take a course out of Langtangen’s Primer.” John D. Cook, The Mathematical Association of America, September 2011 This book goes through Python in particular, and programming in general, via tasks that scientists will likely perform. It contains valuable information for students new to scientific computing and would be the perfect bridge between an introduction to programming and an advanced course on numerical methods or computational science. Alex Small, IEEE, CiSE Vol. 14 (2), March /April 2012