Artificial Intelligence With Power Bi

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Artificial Intelligence with Power BI

Mary-Jo Diepeveen
Artificial Intelligence with Power BI Book PDF

Author : Mary-Jo Diepeveen
Publisher : Packt Publishing Ltd
Page : 348 pages
File Size : 48,9 Mb
Release : 2022-04-29
Category : Computers
ISBN : 9781801816250

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Artificial Intelligence with Power BI by Mary-Jo Diepeveen Pdf

Learn how to create your own AI model and consume it in your Power BI reports to gain better insights from your data Key FeaturesLearn how to gain better insights from your data by applying different AI techniques within Power BISave time by creating machine learning models independently and integrating them within your BI reportsUnderstand how to combine Cognitive Services and Azure Machine Learning together with Power BIBook Description The artificial intelligence (AI) capabilities in Power BI enable organizations to quickly and easily gain more intelligent insights from unstructured and structured data. This book will teach you how to make use of the many AI features available today in Power BI to quickly and easily enrich your data and gain better insights into patterns that can be found in your data. You'll begin by understanding the benefits of AI and how it can be used in Power BI. Next, you'll focus on exploring and preparing your data for building AI projects and then progress to using prominent AI features already available in Power BI, such as forecasting, anomaly detection, and Q&A. Later chapters will show you how to apply text analytics and computer vision within Power BI reports. This will help you create your own Q&A functionality in Power BI, which allows you to ask FAQs from another knowledge base and then integrate it with PowerApps. Toward the concluding chapters, you'll be able to create and deploy AutoML models trained in Azure ML and consume them in Power Query Editor. After your models have been trained, you'll work through principles such as privacy, fairness, and transparency to use AI responsibly. By the end of this book, you'll have learned when and how to enrich your data with AI using the out-of-the-box AI capabilities in Power BI. What you will learnApply techniques to mitigate bias and handle outliers in your dataPrepare time series data for forecasting in Power BIPrepare and shape your data for anomaly detectionUse text analytics in Power Query EditorIntegrate QnA Maker with PowerApps and create an appTrain your own models and identify the best one with AutoMLIntegrate an Azure ML workspace with Power BI and use endpoints to generate predictionsWho this book is for This artificial intelligence BI book is for data analysts and BI developers who want to explore advanced analytics or artificial intelligence possibilities with their data. Prior knowledge of Power BI will help you get the most out of this book.

Artificial Intelligence with Microsoft Power BI

Jen Stirrup,Thomas J. Weinandy
Artificial Intelligence with Microsoft Power BI Book PDF

Author : Jen Stirrup,Thomas J. Weinandy
Publisher : "O'Reilly Media, Inc."
Page : 473 pages
File Size : 44,5 Mb
Release : 2024-03-28
Category : Computers
ISBN : 9781098112721

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Artificial Intelligence with Microsoft Power BI by Jen Stirrup,Thomas J. Weinandy Pdf

Advance your Power BI skills by adding AI to your repertoire at a practice level. With this practical book, business-oriented software engineers and developers will learn the terminologies, practices, and strategy necessary to successfully incorporate AI into your business intelligence estate. Jen Stirrup, CEO of AI and BI leadership consultancy Data Relish, and Thomas Weinandy, research economist at Upside, show you how to use data already available to your organization. Springboarding from the skills that you already possess, this book adds AI to your organization's technical capability and expertise with Microsoft Power BI. By using your conceptual knowledge of BI, you'll learn how to choose the right model for your AI work and identify its value and validity. Use Power BI to build a good data model for AI Demystify the AI terminology that you need to know Identify AI project roles, responsibilities, and teams for AI Use AI models, including supervised machine learning techniques Develop and train models in Azure ML for consumption in Power BI Improve your business AI maturity level with Power BI Use the AI feedback loop to help you get started with the next project

Self-Service AI with Power BI Desktop

Markus Ehrenmueller-Jensen
Self Service AI with Power BI Desktop Book PDF

Author : Markus Ehrenmueller-Jensen
Publisher : Apress
Page : 344 pages
File Size : 50,8 Mb
Release : 2020-10-01
Category : Computers
ISBN : 1484262301

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Self-Service AI with Power BI Desktop by Markus Ehrenmueller-Jensen Pdf

This book explains how you can enrich the data you have loaded into Power BI Desktop by accessing a suite of Artificial Intelligence (AI) features. These AI features are built into Power BI Desktop and help you to gain new insights from existing data. Some of the features are automated and are available to you at the click of a button or through writing Data Analysis Expressions (DAX). Other features are available through writing code in either the R, Python, or M languages. This book opens up the entire suite of AI features to you with clear examples showing when they are best applied and how to invoke them on your own datasets. No matter if you are a business user, analyst, or data scientist – Power BI has AI capabilities tailored to you. This book helps you learn what types of insights Power BI is capable of delivering automatically. You will learn how to integrate and leverage the use of the R and Python languages for statistics, how to integrate with Cognitive Services and Azure Machine Learning Services when loading data, how to explore your data by asking questions in plain English ... and more! There are AI features for discovering your data, characterizing unexplored datasets, and building what-if scenarios. There’s much to like and learn from this book whether you are a newcomer to Power BI or a seasoned user. Power BI Desktop is a freely available tool for visualization and analysis. This book helps you to get the most from that tool by exploiting some of its latest and most advanced features. What You Will Learn Ask questions in natural language and get answers from your data Let Power BI explain why a certain data point differs from the rest Have Power BI show key influencers over categories of data Access artificial intelligence features available in the Azure cloud Walk the same drill down path in different parts of your hierarchy Load visualizations to add smartness to your reports Simulate changes in data and immediately see the consequences Know your data, even before you build your first report Create new columns by giving examples of the data that you need Transform and visualize your data with the help of R and Python scripts Who This Book Is For For the enthusiastic Power BI user who wants to apply state-of-the-art artificial intelligence (AI) features to gain new insights from existing data. For end-users and IT professionals who are not shy of jumping into a new world of machine learning and are ready to make that step and take a deeper look into their data. For those wanting to step up their game from doing simple reporting and visualizations by making the move into diagnostic and predictive analysis.

Power BI Machine Learning and OpenAI

Greg Beaumont
Power BI Machine Learning and OpenAI Book PDF

Author : Greg Beaumont
Publisher : Packt Publishing Ltd
Page : 308 pages
File Size : 47,5 Mb
Release : 2023-05-31
Category : Computers
ISBN : 9781837634330

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Power BI Machine Learning and OpenAI by Greg Beaumont Pdf

Unleash the full potential of Power BI with the integration of AI and machine learning techniques using OpenAI Purchase of the print or Kindle book includes a free PDF eBook Key Features Take flight with Power BI machine learning and OpenAI using hands-on examples from the FAA airline data Unlock the full potential of Power BI for advanced analytics using OpenAI Design stunning data presentations, seamless integration of machine learning tools and technologies with OpenAI Book Description Microsoft Power BI is the ultimate solution for businesses looking to make data-driven decisions and unlock the full potential of their data. Unleashing Your Data with Power BI Machine Learning and OpenAI is designed for data scientists and BI professionals seeking to improve their existing solutions and workloads using AI. The book explains the intricacies of the subject by using a workshop-style data story for data ingestion, data modeling, analytics, and predictive analytics with Power BI machine learning. Along the way, you'll learn about AI features, AI visuals, R/Python integration, and OpenAI integration. The workshop-style content allows you to practice all your learnings in real-life challenges and gain hands-on experience. Additionally, you'll gain an understanding of AI/ML, step by step, with replicable examples and references. From enhancing data visualizations to building SaaS Power BI ML models, and integrating Azure OpenAI, this book will help you unlock new capabilities in Power BI. By the end of this book, you'll be well-equipped to build ML models in Power BI, plan projects for both BI and ML, understand R/Python visuals with Power BI, and introduce OpenAI to enhance your analytics solutions. What you will learn Discover best practices for implementing AI and ML capabilities in Power BI along with integration of OpenAI into the solution Understand how to integrate OpenAI and cognitive services into Power BI Explore how to build a SaaS auto ML model within Power BI Gain an understanding of R/Python integration with Power BI Enhance data visualizations for ML feature discovery Discover how to improve existing solutions and workloads using AI and ML capabilities in Power BI with OpenAI Acquire tips and tricks for successfully using AI and ML capabilities in Power BI along with integration of OpenAI into the solution Who this book is for This book is for data science and BI professionals looking to expand their skill sets into Power BI machine learning and OpenAI. This book is also useful for data scientists, data analysts, and IT professionals who want to learn how to incorporate OpenAI into Power BI for advanced experience.

Artificial Intelligence with Microsoft Power BI

Jen Stirrup,Thomas J. Weinandy
Artificial Intelligence with Microsoft Power BI Book PDF

Author : Jen Stirrup,Thomas J. Weinandy
Publisher : "O'Reilly Media, Inc."
Page : 499 pages
File Size : 46,8 Mb
Release : 2024-03-28
Category : Computers
ISBN : 9781098112707

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Artificial Intelligence with Microsoft Power BI by Jen Stirrup,Thomas J. Weinandy Pdf

Advance your Power BI skills by adding AI to your repertoire at a practice level. With this practical book, business-oriented software engineers and developers will learn the terminologies, practices, and strategy necessary to successfully incorporate AI into your business intelligence estate. Jen Stirrup, CEO of AI and BI leadership consultancy Data Relish, and Thomas Weinandy, research economist at Upside, show you how to use data already available to your organization. Springboarding from the skills that you already possess, this book adds AI to your organization's technical capability and expertise with Microsoft Power BI. By using your conceptual knowledge of BI, you'll learn how to choose the right model for your AI work and identify its value and validity. Use Power BI to build a good data model for AI Demystify the AI terminology that you need to know Identify AI project roles, responsibilities, and teams for AI Use AI models, including supervised machine learning techniques Develop and train models in Azure ML for consumption in Power BI Improve your business AI maturity level with Power BI Use the AI feedback loop to help you get started with the next project

AI-Powered Business Intelligence

Tobias Zwingmann
AI Powered Business Intelligence Book PDF

Author : Tobias Zwingmann
Publisher : "O'Reilly Media, Inc."
Page : 378 pages
File Size : 49,5 Mb
Release : 2022-06-10
Category : Business & Economics
ISBN : 9781098111427

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AI-Powered Business Intelligence by Tobias Zwingmann Pdf

Use business intelligence to power corporate growth, increase efficiency, and improve corporate decision making. With this practical book featuring hands-on examples in Power BI with basic Python and R code, you'll explore the most relevant AI use cases for BI, including improved forecasting, automated classification, and AI-powered recommendations. And you'll learn how to draw insights from unstructured data sources like text, document, and image files. Author Tobias Zwingmann helps BI professionals, business analysts, and data analytics understand high-impact areas of artificial intelligence. You'll learn how to leverage popular AI-as-a-service and AutoML platforms to ship enterprise-grade proofs of concept without the help of software engineers or data scientists. Learn how AI can generate business impact in BI environments Use AutoML for automated classification and improved forecasting Implement recommendation services to support decision-making Draw insights from text data at scale with NLP services Extract information from documents and images with computer vision services Build interactive user frontends for AI-powered dashboard prototypes Implement an end-to-end case study for building an AI-powered customer analytics dashboard

Advanced Analytics in Power BI with R and Python

Ryan Wade
Advanced Analytics in Power BI with R and Python Book PDF

Author : Ryan Wade
Publisher : Apress
Page : 330 pages
File Size : 51,7 Mb
Release : 2020-09-05
Category : Computers
ISBN : 1484258282

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Advanced Analytics in Power BI with R and Python by Ryan Wade Pdf

This easy-to-follow guide provides R and Python recipes to help you learn and apply the top languages in the field of data analytics to your work in Microsoft Power BI. Data analytics expert and author Ryan Wade shows you how to use R and Python to perform tasks that are extremely hard to do, if not impossible, using native Power BI tools without Power BI Premium capacity. For example, you will learn to score Power BI data using custom data science models, including powerful models from Microsoft Cognitive Services. The R and Python languages are powerful complements to Power BI. They enable advanced data transformation techniques that are difficult to perform in Power BI in its default configuration, but become easier through the application of data wrangling features that languages such as R and Python support. If you are a BI developer, business analyst, data analyst, or a data scientist who wants to push Power BI and transform it from being just a business intelligence tool into an advanced data analytics tool, then this is the book to help you to do that. What You Will Learn Create advanced data visualizations through R using the ggplot2 package Ingest data using R and Python to overcome the limitations of Power Query Apply machine learning models to your data using R and Python Incorporate advanced AI in Power BI via Microsoft Cognitive Services, IBM Watson, and pre-trained models in SQL Server Machine Learning Services Perform string manipulations not otherwise possible in Power BI using R and Python Who This Book Is For Power users, data analysts, and data scientists who want to go beyond Power BI’s built-in functionality to create advanced visualizations, transform data in ways not otherwise supported, and automate data ingestion from sources such as SQL Server and Excel in a more succinct way

Machine Learning with Microsoft Power BI

Greg Beaumont
Machine Learning with Microsoft Power BI Book PDF

Author : Greg Beaumont
Publisher : Unknown
Page : 0 pages
File Size : 40,8 Mb
Release : 2023-05-31
Category : Artificial intelligence
ISBN : 183763615X

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Machine Learning with Microsoft Power BI by Greg Beaumont Pdf

Unleash the full potential of Power BI with the integration of AI and Machine Learning (ML) techniques.Key Features* Embrace the future of data analysis with this comprehensive guide to AI, AutoML, and Machine Learning Connectivity in Power BI.* Discover how to unlock the full potential of Power BI with advanced AI features.* Design visually stunning data presentations, and seamless integration of cutting-edge machine learning tools and technologies.Book DescriptionMicrosoft Power BI is the ultimate solution for businesses looking to make data-driven decisions and unlock the full potential of their data. Power BI makes it easy to connect to a variety of data sources, and create stunning, interactive dashboards, reports, and visualizations that will bring your data insights to life.This book features the best practices when using Power BI AutoML, AI features, AI visuals, R/Python integration, and Azure ML integration.The book will give you a step-by-step tutorial for using different AI and ML capabilities, along with expert tips and tricks. "Workshop Style" content will also allow you to replicate the content in the book for a hands-on experience. You'll get Step-by-step AI/ML coverage with replicable examples and references. Data Scientists will learn how to leverage AI and ML capabilities in Power BI to improve their existing solutions and workloads. From enhancing data visualizations, to building a SaaS AutoML Model, to integrating Enterprise Machine Learning Solutions in Azure ML, the book will unlock new capabilities in Power BI for readers. By the end of the book, readers will have a solid understanding of how to build an AutoML model in Power BI, integrate Azure ML and Azure Cognitive Services, leverage AI visuals, and understand R/Python integration with Power BI.What you will learn* Discover best practices for implementing AI and ML capabilities in Power BI* Learn how to integrate Azure ML and Azure Cognitive Services into Power BI* Explore how to build a SaaS AutoML model in Power BI* Gain an understanding of R/Python integration with Power BI* See how to enhance data visualizations using AI and ML capabilities in Power BI* Understand how to improve existing solutions and workloads using AI and ML capabilities in Power BI* Acquire tips and tricks for successfully using AI and ML capabilities in Power BI* Gain access to hands-on Workshop content to recreate the book lessonsWho This Book Is ForData Science Professionals who want use Power BI and deploy Machine Learning models in Azure.

Machine Learning with Dynamics 365 and Power Platform

Aurelien Clere,Vinnie Bansal
Machine Learning with Dynamics 365 and Power Platform Book PDF

Author : Aurelien Clere,Vinnie Bansal
Publisher : John Wiley & Sons
Page : 247 pages
File Size : 42,9 Mb
Release : 2022-01-06
Category : Computers
ISBN : 9781119771296

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Machine Learning with Dynamics 365 and Power Platform by Aurelien Clere,Vinnie Bansal Pdf

Apply cutting-edge AI techniques to your Dynamics 365 environment to create new solutions to old business problems In Machine Learning with Dynamics 365 and Power Platform: The Ultimate Guide to Apply Predictive Analytics, an accomplished team of digital and data analytics experts delivers a practical and comprehensive discussion of how to integrate AI Builder with Dataverse and Dynamics 365 to create real-world business solutions. It also walks you through how to build powerful machine learning models using Azure Data Lake, Databricks, Azure Synapse Analytics. The book is filled with clear explanations, visualizations, and working examples that get you up and running in your development of supervised, unsupervised, and reinforcement learning techniques using Microsoft machine learning tools and technologies. These strategies will transform your business verticals, reducing costs and manual processes in finance and operations, retail, telecommunications, and manufacturing industries. The authors demonstrate: What machine learning is all about and how it can be applied to your organization's Dynamics 365 and Power Platform Projects The creation and management of environments for development, testing, and production of a machine learning project How adopting machine learning techniques will redefine the future of your ERP/CRM system Perfect for Technical Consultants, software developers, and solution architects, Machine Learning with Dynamics 365 and Power Platform is also an indispensable guide for Chief Technology Officers seeking an intuitive resource for how to implement machine learning in modern business applications to solve real-world problems.

Extending Power BI with Python and R

Luca Zavarella,Francesca Lazzeri
Extending Power BI with Python and R Book PDF

Author : Luca Zavarella,Francesca Lazzeri
Publisher : Packt Publishing Ltd
Page : 559 pages
File Size : 43,9 Mb
Release : 2021-11-26
Category : Computers
ISBN : 9781801076678

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Extending Power BI with Python and R by Luca Zavarella,Francesca Lazzeri Pdf

Perform more advanced analysis and manipulation of your data beyond what Power BI can do to unlock valuable insights using Python and R Key FeaturesGet the most out of Python and R with Power BI by implementing non-trivial codeLeverage the toolset of Python and R chunks to inject scripts into your Power BI dashboardsImplement new techniques for ingesting, enriching, and visualizing data with Python and R in Power BIBook Description Python and R allow you to extend Power BI capabilities to simplify ingestion and transformation activities, enhance dashboards, and highlight insights. With this book, you'll be able to make your artifacts far more interesting and rich in insights using analytical languages. You'll start by learning how to configure your Power BI environment to use your Python and R scripts. The book then explores data ingestion and data transformation extensions, and advances to focus on data augmentation and data visualization. You'll understand how to import data from external sources and transform them using complex algorithms. The book helps you implement personal data de-identification methods such as pseudonymization, anonymization, and masking in Power BI. You'll be able to call external APIs to enrich your data much more quickly using Python programming and R programming. Later, you'll learn advanced Python and R techniques to perform in-depth analysis and extract valuable information using statistics and machine learning. You'll also understand the main statistical features of datasets by plotting multiple visual graphs in the process of creating a machine learning model. By the end of this book, you'll be able to enrich your Power BI data models and visualizations using complex algorithms in Python and R. What you will learnDiscover best practices for using Python and R in Power BI productsUse Python and R to perform complex data manipulations in Power BIApply data anonymization and data pseudonymization in Power BILog data and load large datasets in Power BI using Python and REnrich your Power BI dashboards using external APIs and machine learning modelsExtract insights from your data using linear optimization and other algorithmsHandle outliers and missing values for multivariate and time-series dataCreate any visualization, as complex as you want, using R scriptsWho this book is for This book is for business analysts, business intelligence professionals, and data scientists who already use Microsoft Power BI and want to add more value to their analysis using Python and R. Working knowledge of Power BI is required to make the most of this book. Basic knowledge of Python and R will also be helpful.

Data Analytics

Anthony S. Williams
Data Analytics Book PDF

Author : Anthony S. Williams
Publisher : Anthony S. Williams
Page : 440 pages
File Size : 47,6 Mb
Release : 2024-05-18
Category : Computers
ISBN : 8210379456XXX

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Data Analytics by Anthony S. Williams Pdf

Data Analytics - 7 BOOK BUNDLE!! Book 1: Data Analytics For Beginners In this book you will learn: What is Data Analytics Types of Data Analytics Evolution of Data Analytics Big Data Defined Data Mining Data Visualization Cluster Analysis And of course much more! Book 2: Deep Learning With Keras In this book you will learn: Deep Neural Network Neural Network Elements Keras Models Sequential Model Functional API Model Keras Layers Core Keras Layers Convolutional Keras Layers Recurrent Keras Layers Deep Learning Algorithms Supervised Learning Algorithms Applications of Deep Learning Models Automatic Speech and Image Recognition Natural Language Processing And of course much more! Book 3: Analyzing Data With Power BI In this book you will learn: Basics of data analysis processes Fundamental data analysis algorithms Basic of data and text mining, data visualization, and business intelligence Techniques used for analysing quantitative data Basic data analysis tasks Conceptual, logical, and physical data models Power BI service and data modelling Creating reports and visualizations in Power BI And of course much more! Book 4: Reinforcement Learning With Python In this book you will learn: Types of fundamental machine learning algorithms in comparison to reinforcement learning Essentials of reinforcement learning process Marko decision processes and basic parameters How to integrate reinforcement learning algorithm using OpenAI Gym How to integrate Monte Carlo methods for prediction Monte Carlo tree search And much, much more... Book 5: Artificial Intelligence Python In this book you will learn: Different artificial intelligence approaches and goals How to define AI system Basic AI techniques Reinforcement learning And much, much more... Book 6: Text Analytics With Python In this book you will learn: Text analytics process How to build a corpus and analyze sentiment Named entity extraction with Groningen meaning bank corpus How to train your system Getting started with NLTK How to search syntax and tokenize sentences Automatic text summarization Stemming word and topic modeling with NLTK And much, much more... Book 7: Convolutional Neural Networks In Python In this book you will learn: Architecture of convolutional neural networks Solving computer vision tasks using convolutional neural networks Python and computer vision Automatic image and speech recognition Theano and TenroeFlow image recognition And of course much more! Download this book bundle NOW and SAVE money!!

AI Meets BI

Lakshman Bulusu,Rosendo Abellera
AI Meets BI Book PDF

Author : Lakshman Bulusu,Rosendo Abellera
Publisher : CRC Press
Page : 220 pages
File Size : 55,7 Mb
Release : 2020-11-03
Category : Computers
ISBN : 9781000281934

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AI Meets BI by Lakshman Bulusu,Rosendo Abellera Pdf

With the emergence of Artificial Intelligence (AI) in the business world, a new era of Business Intelligence (BI) has been ushered in to create real-world business solutions using analytics. BI developers and practitioners now have tools and technologies to create systems and solutions to guide effective decision making. Decisions can be made on the basis of more reliable and accurate information and intelligence, which can lead to valuable, actionable insights for business. Previously, BI professionals were stymied by bad or incomplete data, poorly architected solutions, or even just outright incapable systems or resources. With the advent of AI, BI has new possibilities for effectiveness. This is a long-awaited phase for practitioners and developers and, moreover, for executives and leaders relying on knowledgeable and intelligent decision making for their organizations. Beginning with an outline of the traditional methods for implementing BI in the enterprise and how BI has evolved into using self-service analytics, data discovery, and most recently AI, AI Meets BI first lays out the three typical architectures of the first, second, and third generations of BI. It then takes an in-depth look at various types of analytics and highlights how each of these can be implemented using AI-enabled algorithms and deep learning models. The crux of the book is four industry use cases. They describe how an enterprise can access, assess, and perform analytics on data by way of discovering data, defining key metrics that enable the same, defining governance rules, and activating metadata for AI/ML recommendations. Explaining the implementation specifics of each of these four use cases by way of using various AI-enabled machine learning and deep learning algorithms, this book provides complete code for each of the implementations, along with the output of the code, supplemented by visuals that aid in BI-enabled decision making. Concluding with a brief discussion of the cognitive computing aspects of AI, the book looks at future trends, including augmented analytics, automated and autonomous BI, and security and governance of AI-powered BI.

Mastering Power Query in Power BI and Excel

Reza Rad,Leila Etaati
Mastering Power Query in Power BI and Excel Book PDF

Author : Reza Rad,Leila Etaati
Publisher : RADACAD Systems Limited
Page : 417 pages
File Size : 46,5 Mb
Release : 2021-08-27
Category : Computers
ISBN : 8210379456XXX

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Mastering Power Query in Power BI and Excel by Reza Rad,Leila Etaati Pdf

Any data analytics solution requires data population and preparation. With the rise of data analytics solutions these years, the need for this data preparation becomes even more essential. Power BI is a helpful data analytics tool that is used worldwide by many users. As a Power BI (or Microsoft BI) developer, it is essential to learn how to prepare the data in the right shape and format needed. You need to learn how to clean the data and build it in a structure that can be modeled easily and used high performant for visualization. Data preparation and transformation is the backend work. If you consider building a BI system as going to a restaurant and ordering food. The visualization is the food you see on the table nicely presented. The quality, the taste, and everything else come from the hard work in the kitchen. The part that you don’t see or the backend in the world of Power BI is Power Query. You may already be familiar with other data preparation and transformation technologies, such as T-SQL, SSIS, Azure Data Factory, Informatica, etc. Power Query is a data transformation engine capable of preparing the data in the format you need. The good news is that to learn Power Query; you don’t need to know programming. Power Query is for citizen data engineers. However, this doesn’t mean that Power Query is not capable of performing advanced transformation. Power Query exists in many Microsoft tools and services such as Power BI, Excel, Dataflows, Power Automate, Azure Data Factory, etc. Through the years, this engine became more powerful. These days, we can say this is essential learning for anyone who wants to do data analysis with Microsoft technology to learn Power Query and master it. We have been working with Power Query since the very early release of that in 2013, named Data Explorer, and wrote blog articles and published videos about it. The number of articles we published under this subject easily exceeds hundreds. Through those articles, some of the fundamentals and key learnings of Power Query are explained. We thought it is good to compile some of them in a book series. A good analytics solution combines a good data model, good data preparation, and good analytics and calculations. Reza has written another book about the Basics of modeling in Power BI and a book on Power BI DAX Simplified. This book is covering the data preparation and transformations aspects of it. This book series is for you if you are building a Power BI solution. Even if you are just visualizing the data, preparation and transformations are an essential part of analytics. You do need to have the cleaned and prepared data ready before visualizing it. This book is compiled into a series of two books, which will be followed by a third book later; Getting started with Power Query in Power BI and Excel (already available to be purchased separately) Mastering Power Query in Power BI and Excel (This book) Power Query dataflows (will be published later) This book deeps dive into real-world challenges of data transformation. It starts with combining data sources and continues with aggregations and fuzzy operations. The book covers advanced usage of Power Query in scenarios such as error handling and exception reports, custom functions and parameters, advanced analytics, and some helpful table and list functions. The book continues with some performance tuning tips and it also explains the Power Query formula language (M) and the structure of it and how to use it in practical solutions. Although this book is written for Power BI and all the examples are presented using the Power BI. However, the examples can be easily applied to Excel, Dataflows, and other tools and services using Power Query.

Getting started with Power Query in Power BI and Excel

Reza Rad,Leila Etaati
Getting started with Power Query in Power BI and Excel Book PDF

Author : Reza Rad,Leila Etaati
Publisher : RADACAD Systems Limited
Page : 285 pages
File Size : 45,7 Mb
Release : 2021-08-27
Category : Computers
ISBN : 8210379456XXX

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Getting started with Power Query in Power BI and Excel by Reza Rad,Leila Etaati Pdf

Any data analytics solution requires data population and preparation. With the rise of data analytics solutions these years, the need for this data preparation becomes even more essential. Power BI is a helpful data analytics tool that is used worldwide by many users. As a Power BI (or Microsoft BI) developer, it is essential to learn how to prepare the data in the right shape and format needed. You need to learn how to clean the data and build it in the structure that can be modeled easily and used high performant for visualization. Data preparation and transformation is the backend work. If you consider building a BI system as going to a restaurant and ordering food. The visualization is the food you see on the table nicely presented. The quality, the taste, and everything else comes from the hard work in the kitchen. The part that you don’t see or the backend in the world of Power BI is Power Query. You may be already familiar with some other data preparation and data transformation technologies, such as T-SQL, SSIS, Azure Data Factory, Informatica, etc. Power Query is a data transformation engine capable of preparing the data in the format you need. The good news is that to learn Power Query; you don’t need to know programming. Power Query is for citizen data engineers. However, this doesn’t mean that Power Query is not capable of performing advanced transformation. Unfortunately, because Power Query and data preparation is the kitchen work of the BI system, many Power BI users skip the learning of it and become aware of it somewhere along their BI project. Once they get familiar with it, they realize there are tons of things they could have implemented easier, faster, and in a much more maintainable way using Power Query. In other words, they learn mastering Power Query is the key skill toward mastering Power BI. We have been working with Power Query since the very early release of that in 2013, named Data Explorer, and wrote blog articles and published videos about it. The number of articles we published under this subject easily exceeds hundreds. Through those articles, some of the fundamentals and key learnings of Power Query are explained. We thought it is good to compile some of them in a book. A good analytics solution combines a good data model, good data preparation, and good analytics and calculations. Reza has written another book about the Basics of modeling in Power BI and a book on Power BI DAX Simplified. This book is covering the data preparation and transformations aspects of it. This book is for you if you are building a Power BI solution. Even if you are just visualizing the data, preparation and transformations are an essential part of analytics. You do need to have the cleaned and prepared data ready before visualizing it. This book is complied into a series of two books, which will be followed by a third book later; Getting started with Power Query in Power BI and Excel (this book) Mastering Power Query in Power BI and Excel (already available to be purchased separately) Power Query dataflows (will be published later) Although this book is written for Power BI and all the examples are presented using the Power BI. However, the examples can be easily applied to Excel, Dataflows, and other tools and services using Power Query.

Artificial Intelligence Applications in a Pandemic

Salah-ddine Krit,Vrijendra Singh,Mohamed Elhoseny,Yashbir Singh
Artificial Intelligence Applications in a Pandemic Book PDF

Author : Salah-ddine Krit,Vrijendra Singh,Mohamed Elhoseny,Yashbir Singh
Publisher : CRC Press
Page : 150 pages
File Size : 43,7 Mb
Release : 2021-03-18
Category : Computers
ISBN : 9781000460278

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Artificial Intelligence Applications in a Pandemic by Salah-ddine Krit,Vrijendra Singh,Mohamed Elhoseny,Yashbir Singh Pdf

COVID-19, a novel coronavirus pandemic has disrupted our society in many ways. Digital healthcare innovations are required more than ever before as we come across myriad challenges during this pandemic. Scientists and developers are learning and finding a way to use artificial intelligence applications and natural language processing to comprehend and tackle this disease. AI technologies are playing an important role in the response to the COVID-19 pandemic. Experts are using all possible tools to study the virus, diagnose individuals, and analyze the public health impacts. This book is a collection of some of the leading efforts related to AI and COVID-19 focused on finding how AI can be helpful in monitoring the situation from early warnings, swift emergency responses, and critical decision-making. It discusses the use of machine learning and how it may help to reduce the impacts of this pandemic in conjunction with all other research and strategies going on. The book serves as a technical resource of data analytics and AI applications in tracking infectious diseases. It will serve academics, students, data scientists, medical practitioners, and anybody managing a global pandemic. Features: Directs the attention to the smart digital healthcare system in this COVID-19 pandemic. Simulates novel investigations and how they will be beneficial in understanding the pandemic. Presents the latest ideas developed for data scientists, doctors, engineers, and economists. Analyses the various issues related to computing, AI apps, big data analytic techniques, and predictive scientific skill gaps. Explains some interesting and diverse types of challenges and data-driven healthcare applications.