Hands On With Google Data Studio

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Hands On With Google Data Studio

Author : Lee Hurst
Publisher : John Wiley & Sons
ISBN 13 : 1119616212
Total Pages : 613 pages
Book Rating : 4.1/5 (196 download)

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Book Synopsis Hands On With Google Data Studio by : Lee Hurst

Download or read book Hands On With Google Data Studio written by Lee Hurst and published by John Wiley & Sons. This book was released on 2020-01-09 with total page 613 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn how to easily transform your data into engaging, interactive visual reports! Data is no longer the sole domain of tech professionals and scientists. Whether in our personal, business, or community lives, data is rapidly increasing in both importance and sheer volume. The ability to visualize all kinds of data is now within reach for anyone with a computer and an internet connection. Google Data Studio, quickly becoming the most popular free tool in data visualization, offers users a flexible, powerful way to transform private and public data into interactive knowledge that can be easily shared and understood. Hands On With Google Data Studio teaches you how to visualize your data today and produce professional quality results quickly and easily. No previous experience is required to get started right away—all you need is this guide, a Gmail account, and a little curiosity to access and visualize data just like large businesses and organizations. Clear, step-by-step instructions help you identify business trends, turn budget data into a report, assess how your websites or business listings are performing, analyze public data, and much more. Practical examples and expert tips are found throughout the text to help you fully understand and apply your new knowledge to a wide array of real-world scenarios. This engaging, reader-friendly guide will enable you to: Use Google Data Studio to access various types of data, from your own personal data to public sources Build your first data set, navigate the Data Studio interface, customize reports, and share your work Learn the fundamentals of data visualization, personal data accessibility, and open data API's Harness the power of publicly accessible data services including Google’s recently released Data Set Search Add banners, logos, custom graphics, and color palettes Hands On With Google Data Studio: A Data Citizens Survival Guide is a must-have resource for anyone starting their data visualization journey, from individuals, consultants, and small business owners to large business and organization managers and leaders.

Hands On With Google Data Studio

Author : Lee Hurst
Publisher : John Wiley & Sons
ISBN 13 : 1119616212
Total Pages : 613 pages
Book Rating : 4.1/5 (196 download)

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Book Synopsis Hands On With Google Data Studio by : Lee Hurst

Google Data Studio Hands-on

Author : Hassan Khan
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (113 download)

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Book Synopsis Google Data Studio Hands-on by : Hassan Khan

Download or read book Google Data Studio Hands-on written by Hassan Khan and published by . This book was released on 2019 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: "Follow along with Google Data Studio expert Hassan Khan to learn all about Google Data Studio, through this 11-part video covering these topics: Introducing Google Data Studio; Adding Geography and other Data Points to your Google Data Studio Dashboard; Adding Filter Controls and Scorecards to your Google Data Studio Dashboard; Adding Database Controls to your Google Data Studio Dashboard; Using Multiple Data Connectors in Google Data Studio; Adding new variables in Google Data Studio; Mastering the When Condition in Google Data Studio; Data Blending in Google Data Studio; Formatting the Date in Google Data Studio; Applying Report Templates in Google Data Studio; Building your own Dashboard in Google Data Studio."--Resource description page.

Data Storytelling with Google Looker Studio

Author : Sireesha Pulipati
Publisher : Packt Publishing Ltd
ISBN 13 : 1800561954
Total Pages : 464 pages
Book Rating : 4.8/5 (5 download)

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Book Synopsis Data Storytelling with Google Looker Studio by : Sireesha Pulipati

Download or read book Data Storytelling with Google Looker Studio written by Sireesha Pulipati and published by Packt Publishing Ltd. This book was released on 2022-10-27 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt: Apply data storytelling concepts and analytical thinking to create dashboards and reports in Looker Studio to aid data-driven decision making Key FeaturesGain a solid understanding of data visualization principles and learn to apply them effectivelyGet to grips with the concepts and features of Looker Studio to create powerful data storiesExplore the end-to-end process of building dashboards with the help of practical examplesBook Description Presenting data visually makes it easier for organizations and individuals to interpret and analyze information. Looker Studio is an easy-to-use, collaborative tool that enables you to transform your data into engaging visualizations. This allows you to build and share dashboards that help monitor key performance indicators, identify patterns, and generate insights to ultimately drive decisions and actions. Data Storytelling with Looker Studio begins by laying out the foundational design principles and guidelines that are essential to creating accurate, effective, and compelling data visualizations. Next, you'll delve into features and capabilities of Looker Studio – from basic to advanced – and explore their application with examples. The subsequent chapters walk you through building dashboards with a structured three-stage process called the 3D approach using real-world examples that'll help you understand the various design and implementation considerations. This approach involves determining the objectives and needs of the dashboard, designing its key components and layout, and developing each element of the dashboard. By the end of this book, you will have a solid understanding of the storytelling approach and be able to create data stories of your own using Looker Studio. What you will learnUnderstand what storytelling with data means, and explore its various formsDiscover the 3D approach to building dashboards – determine, design, and developTest common data visualization pitfalls and learn how to mitigate themGet up and running with Looker Studio and leverage it to explore and visualize dataExplore the advanced features of Looker Studio with examplesBecome well-versed in the step-by-step process of the 3D approach using practical examplesMeasure and monitor the usage patterns of your Looker Studio reportsWho this book is for If you are a beginner or an aspiring data analyst looking to understand the core concepts of data visualization and want to use Looker Studio for creating effective dashboards, this book is for you. No specific prior knowledge is needed to understand the concepts present in this book. Experienced data analysts and business intelligence developers will also find this book useful as a detailed guide to using Looker Studio as well as a refresher of core dashboarding concepts.

Data Storytelling with Google Data Studio

Author : Sireesha Pulipati
Publisher : Packt Publishing
ISBN 13 : 9781800568761
Total Pages : 0 pages
Book Rating : 4.5/5 (687 download)

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Book Synopsis Data Storytelling with Google Data Studio by : Sireesha Pulipati

Download or read book Data Storytelling with Google Data Studio written by Sireesha Pulipati and published by Packt Publishing. This book was released on 2022-10-27 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Apply data storytelling concepts and analytical thinking to create dashboards and reports in Google Data Studio to aid data-driven decision making Key Features: Gain a solid understanding of data visualization principles and learn to apply them effectively Get to grips with the concepts and features of Data Studio to create powerful data stories Explore the end-to-end process of building dashboards with the help of practical examples Book Description: Presenting data visually makes it easier for organizations and individuals to interpret and analyze information. Google Data Studio is an easy-to-use, collaborative tool that enables you to transform your data into engaging visualizations. This allows you to build and share dashboards that help monitor key performance indicators, identify patterns, and generate insights to ultimately drive decisions and actions. Data Storytelling with Google Data Studio begins by laying out the foundational design principles and guidelines that are essential to creating accurate, effective, and compelling data visualizations. Next, you'll delve into features and capabilities of Data Studio - from basic to advanced - and explore their application with examples. The subsequent chapters walk you through building dashboards with a structured three-stage process called the 3D approach using real-world examples that'll help you understand the various design and implementation considerations. This approach involves determining the objectives and needs of the dashboard, designing its key components and layout, and developing each element of the dashboard. By the end of this book, you will have a solid understanding of the storytelling approach and be able to create data stories of your own using Data Studio. What You Will Learn: Understand what storytelling with data means, and explore its various forms Discover the 3D approach to building dashboards - determine, design, and develop Test common data visualization pitfalls and learn how to mitigate them Get up and running with Data Studio and leverage it to explore and visualize data Explore the advanced features of Data Studio with examples Become well-versed in the step-by-step process of the 3D approach using practical examples Measure and monitor the usage patterns of your Data Studio reports Who this book is for: If you are a beginner or an aspiring data analyst looking to understand the core concepts of data visualization and want to use Google Data Studio for creating effective dashboards, this book is for you. No specific prior knowledge is needed to understand the concepts present in this book. Experienced data analysts and business intelligence developers will also find this book useful as a detailed guide to using Data Studio as well as a refresher of core dashboarding concepts.

Google Data Studio for Beginners

Author : Grant Kemp
Publisher : Apress
ISBN 13 : 9781484251553
Total Pages : 94 pages
Book Rating : 4.2/5 (515 download)

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Book Synopsis Google Data Studio for Beginners by : Grant Kemp

Download or read book Google Data Studio for Beginners written by Grant Kemp and published by Apress. This book was released on 2020-12-13 with total page 94 pages. Available in PDF, EPUB and Kindle. Book excerpt: Google Data Studio is becoming a go-to tool in the analytics community. All business roles across the industry benefit from foundational knowledge of this now-essential technology, and Google Data Studio for Beginners is here to provide it. Release your locked-up data and turn it into beautiful, actionable, and shareable reports that can be consumed by experts and novices alike. Authors Grant Kemp and Gerry White begin by walking you through the basics, such how to create simple dashboards and interactive visualizations. As you progress through Google Data Studio for Beginners, you will build up the knowledge necessary to blend multiple data sources and create comprehensive marketing dashboards. Some intermediate features such as calculated fields, cleaning up data, and data blending to build powerhouse reports are featured as well. Presenting your data in client-ready, digestible forms is a key factor that many find to be a roadblock, and this book will help strengthen this essential skill in your organization. Centralizing the power from sources such as Google Analytics, online surveys, and a multitude of other popular data management tools puts you as a business leader and analyzer ahead of the rest. Your team as a whole will benefit from Google Data Studio for Beginners, because by using these tools, teams can collaboratively work on data to build their understanding and turn their data into action. Data Studio is quickly solidifying itself as the industry standard, and you don’t want to miss this essential guide for excelling in it. What You Will Learn Combine various data sources to create great looking and actionable visualizations Reuse and modify other dashboards that have been created by industry pros Use intermediate features such as calculated fields and data blending to build powerhouse reports Who This Book Is For Users looking to learn Google Analytics, SEO professionals, digital marketers, and other business professionals who want to mine their data into an actionable dashboard.

Data Storytelling with Google Looker Studio

Author : Sireesha Pulipati
Publisher : Packt Publishing Ltd
ISBN 13 : 1800561954
Total Pages : 464 pages
Book Rating : 4.8/5 (5 download)

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Book Synopsis Data Storytelling with Google Looker Studio by : Sireesha Pulipati

Google Data Studio Most Used Features

Author : Deepak Kumar | 3Pie Analytics
Publisher : Deepak Kumar
ISBN 13 :
Total Pages : pages
Book Rating : 4./5 ( download)

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Book Synopsis Google Data Studio Most Used Features by : Deepak Kumar | 3Pie Analytics

Download or read book Google Data Studio Most Used Features written by Deepak Kumar | 3Pie Analytics and published by Deepak Kumar. This book was released on with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Most used Google Data Studio features are explained with pictures and how to use them. by 3pieanalytics.com | Deepak Kumar Estimated Reading Time: Comfortable Reading (2.5 WPS): 30 min Medium Reading (4.5 WPS): 16 min Fast Reading (5.5 WPS): 13 min

Learning Google BigQuery

Author : Eric Brown
Publisher : Packt Publishing Ltd
ISBN 13 : 1787286290
Total Pages : 255 pages
Book Rating : 4.7/5 (872 download)

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Book Synopsis Learning Google BigQuery by : Eric Brown

Download or read book Learning Google BigQuery written by Eric Brown and published by Packt Publishing Ltd. This book was released on 2017-12-22 with total page 255 pages. Available in PDF, EPUB and Kindle. Book excerpt: Get a fundamental understanding of how Google BigQuery works by analyzing and querying large datasets About This Book Get started with BigQuery API and write custom applications using it Learn how BigQuery API can be used for storing, managing, and query massive datasets with ease A practical guide with examples and use-cases to teach you everything you need to know about Google BigQuery Who This Book Is For If you are a developer, data analyst, or a data scientist looking to run complex queries over thousands of records in seconds, this book will help you. No prior experience of working with BigQuery is assumed. What You Will Learn Get a hands-on introduction to Google Cloud Platform and its services Understand the different data types supported by Google BigQuery Migrate your enterprise data to BigQuery and query it using the legacy and standard SQL techniques Use partition tables in your project and query external data sources and wild card tables Create tables and data sets dynamically using the BigQuery API Perform real-time inserting of records for analytics using Python and C# Visualize your BigQuery data by connecting it to third party tools such as Tableau and R Master the Google Cloud Pub/Sub for implementing real-time reporting and analytics of your Big Data In Detail Google BigQuery is a popular cloud data warehouse for large-scale data analytics. This book will serve as a comprehensive guide to mastering BigQuery, and how you can utilize it to quickly and efficiently get useful insights from your Big Data. You will begin with getting a quick overview of the Google Cloud Platform and the various services it supports. Then, you will be introduced to the Google BigQuery API and how it fits within in the framework of GCP. The book covers useful techniques to migrate your existing data from your enterprise to Google BigQuery, as well as readying and optimizing it for analysis. You will perform basic as well as advanced data querying using BigQuery, and connect the results to various third party tools for reporting and visualization purposes such as R and Tableau. If you're looking to implement real-time reporting of your streaming data running in your enterprise, this book will also help you. This book also provides tips, best practices and mistakes to avoid while working with Google BigQuery and services that interact with it. By the time you're done with it, you will have set a solid foundation in working with BigQuery to solve even the trickiest of data problems. Style and Approach This book follows a step-by-step approach to teach readers the concepts of Google BigQuery using SQL. To explain various data querying processes, large-scale datasets are used wherever required.

Google Analytics with Google Data Studio

Author : Ian Littlejohn
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (113 download)

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Book Synopsis Google Analytics with Google Data Studio by : Ian Littlejohn

Download or read book Google Analytics with Google Data Studio written by Ian Littlejohn and published by . This book was released on 2018 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: If you are a Google Analytics user you will know how much data can be provided to you. However it is not always easy to access this data and make sense of it within Google Analytics. In this course Ian Littlejohn will show you how to easily create your own custom Google Data Studio reports and dashboards that will make it easy to understand your Google Analytics data. Google Data Studio is Google's latest report and dashboard creation tool. Using a drag and drop interface reports can be created and running in minutes. Google Data Studio also makes it incredibly easy to share your reports with other users. In this course we will show you how to easily create the following: Connect to the Google Analytics data source Understand the Google Data Studio interface Create Scorecards displaying key information such as Sessions and Users Create Time Series / Trend graphs displaying how Sessions and Users changes over time How to setup different filters for your data Display information using column, bar and pie charts Create effective maps and geographical analysis Create powerful interactive dashboards This course is for anybody who wants to effectively analyze and understand their Google Analytics data.

Starting an Online Business and Internet Marketing 2022

Author : S. K. Holder
Publisher : S. K. Holder
ISBN 13 :
Total Pages : 127 pages
Book Rating : 4./5 ( download)

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Book Synopsis Starting an Online Business and Internet Marketing 2022 by : S. K. Holder

Download or read book Starting an Online Business and Internet Marketing 2022 written by S. K. Holder and published by S. K. Holder. This book was released on 2022-01-23 with total page 127 pages. Available in PDF, EPUB and Kindle. Book excerpt: Guide to Setting up an E-Commerce Website, SEO, and Digital Marketing Strategies 2022 • How to set up an e-Commerce website • Website configuration and management for Google search engine optimization (SEO) • Driving more traffic through social media and other digital marketing techniques • Measuring performance with Google Analytics • Running pay-per-click advertising campaigns • E-Commerce business models, including dropshipping and the sale of digital products. • Passive income ideas, such as affiliate marketing and Google AdSense • The elements of good web design Who is the Book for? This book is intended for small businesses, start-ups and individual entrepreneurs who want to manage their own online business effectively for Google search engine optimization, to familiarize themselves with common content management system (CMS) features, track their business metrics, and manage their digital marketing and pay-per-click campaigns. What Topics are Covered in this Book and Where Should I Start? The topics in this book involve managing your website on the client - that is from the administration dashboard of your content management system (CMS). It also offers advice for small changes you might want to make to the code files. You will learn to write the sort of content that generates shares and follows, how to work with influencers, grow your brand, retain your followers, write great captions and titles, integrate your social media accounts with your blog, understand the psychology that drives online engagement, and much more. In addition, you will learn about some of the more popular e-commerce business models, as well as social media marketing, managing pay-per-click (PPC) advertising campaigns with Google Ads and Facebook. We will take a look at social media marketing best practices, pros and cons for the most popular platforms: Instagram, TikTok, Facebook, Pinterest, LinkedIn, YouTube, Reddit, and Twitter. In terms of SEO, we will focus on optimizing for Google's search engine. We will also discuss how to set up and add products to an online shop and cover some common technical issues. You will often hear digital marketing specialists say that there is no proven method for online success. It is easy to get caught in a frenzy of trying every single marketing strategy out there, in the hope that it will catapult your business to instant success. What often happens is that you cannot see the results of your digital labour or anyone else's because you do not know enough about what's under the hood, or how to track your website's performance. As a result, you waste time and money. This is your business. Do not be ignorant. You will need to teach yourself about the digital landscape before launching any online business. I am not saying you need a diploma, but you should understand the fundamentals.

Hands-On Machine Learning on Google Cloud Platform

Author : Giuseppe Ciaburro
Publisher : Packt Publishing Ltd
ISBN 13 : 1788398874
Total Pages : 489 pages
Book Rating : 4.7/5 (883 download)

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Book Synopsis Hands-On Machine Learning on Google Cloud Platform by : Giuseppe Ciaburro

Download or read book Hands-On Machine Learning on Google Cloud Platform written by Giuseppe Ciaburro and published by Packt Publishing Ltd. This book was released on 2018-04-30 with total page 489 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unleash Google's Cloud Platform to build, train and optimize machine learning models Key Features Get well versed in GCP pre-existing services to build your own smart models A comprehensive guide covering aspects from data processing, analyzing to building and training ML models A practical approach to produce your trained ML models and port them to your mobile for easy access Book Description Google Cloud Machine Learning Engine combines the services of Google Cloud Platform with the power and flexibility of TensorFlow. With this book, you will not only learn to build and train different complexities of machine learning models at scale but also host them in the cloud to make predictions. This book is focused on making the most of the Google Machine Learning Platform for large datasets and complex problems. You will learn from scratch how to create powerful machine learning based applications for a wide variety of problems by leveraging different data services from the Google Cloud Platform. Applications include NLP, Speech to text, Reinforcement learning, Time series, recommender systems, image classification, video content inference and many other. We will implement a wide variety of deep learning use cases and also make extensive use of data related services comprising the Google Cloud Platform ecosystem such as Firebase, Storage APIs, Datalab and so forth. This will enable you to integrate Machine Learning and data processing features into your web and mobile applications. By the end of this book, you will know the main difficulties that you may encounter and get appropriate strategies to overcome these difficulties and build efficient systems. What you will learn Use Google Cloud Platform to build data-based applications for dashboards, web, and mobile Create, train and optimize deep learning models for various data science problems on big data Learn how to leverage BigQuery to explore big datasets Use Google’s pre-trained TensorFlow models for NLP, image, video and much more Create models and architectures for Time series, Reinforcement Learning, and generative models Create, evaluate, and optimize TensorFlow and Keras models for a wide range of applications Who this book is for This book is for data scientists, machine learning developers and AI developers who want to learn Google Cloud Platform services to build machine learning applications. Since the interaction with the Google ML platform is mostly done via the command line, the reader is supposed to have some familiarity with the bash shell and Python scripting. Some understanding of machine learning and data science concepts will be handy

Journey to Become a Google Cloud Machine Learning Engineer

Author : Dr. Logan Song
Publisher : Packt Publishing Ltd
ISBN 13 : 1803239417
Total Pages : 330 pages
Book Rating : 4.8/5 (32 download)

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Book Synopsis Journey to Become a Google Cloud Machine Learning Engineer by : Dr. Logan Song

Download or read book Journey to Become a Google Cloud Machine Learning Engineer written by Dr. Logan Song and published by Packt Publishing Ltd. This book was released on 2022-09-20 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt: Prepare for the GCP ML certification exam along with exploring cloud computing and machine learning concepts and gaining Google Cloud ML skills Key FeaturesA comprehensive yet easy-to-follow Google Cloud machine learning study guideExplore full-spectrum and step-by-step practice examples to develop hands-on skillsRead through and learn from in-depth discussions of Google ML certification exam questionsBook Description This book aims to provide a study guide to learn and master machine learning in Google Cloud: to build a broad and strong knowledge base, train hands-on skills, and get certified as a Google Cloud Machine Learning Engineer. The book is for someone who has the basic Google Cloud Platform (GCP) knowledge and skills, and basic Python programming skills, and wants to learn machine learning in GCP to take their next step toward becoming a Google Cloud Certified Machine Learning professional. The book starts by laying the foundations of Google Cloud Platform and Python programming, followed the by building blocks of machine learning, then focusing on machine learning in Google Cloud, and finally ends the studying for the Google Cloud Machine Learning certification by integrating all the knowledge and skills together. The book is based on the graduate courses the author has been teaching at the University of Texas at Dallas. When going through the chapters, the reader is expected to study the concepts, complete the exercises, understand and practice the labs in the appendices, and study each exam question thoroughly. Then, at the end of the learning journey, you can expect to harvest the knowledge, skills, and a certificate. What you will learnProvision Google Cloud services related to data science and machine learningProgram with the Python programming language and data science librariesUnderstand machine learning concepts and model development processesExplore deep learning concepts and neural networksBuild, train, and deploy ML models with Google BigQuery ML, Keras, and Google Cloud Vertex AIDiscover the Google Cloud ML Application Programming Interface (API)Prepare to achieve Google Cloud Professional Machine Learning Engineer certificationWho this book is for Anyone from the cloud computing, data analytics, and machine learning domains, such as cloud engineers, data scientists, data engineers, ML practitioners, and engineers, will be able to acquire the knowledge and skills and achieve the Google Cloud professional ML Engineer certification with this study guide. Basic knowledge of Google Cloud Platform and Python programming is required to get the most out of this book.

Data Analysis and Dashboards with Google Data Studio

Author : Ian Littlejohn
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (113 download)

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Book Synopsis Data Analysis and Dashboards with Google Data Studio by : Ian Littlejohn

Download or read book Data Analysis and Dashboards with Google Data Studio written by Ian Littlejohn and published by . This book was released on 2018 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: "In this course we are going to teach you the following: How to connect Data Studio to Google Sheets Learn how to calculate Averages, Highest values, Lowest Values and number of Unique Values Create Scorecards to display key metrics and KPIs Create powerful trend analysis graphs to help with forecasting Create Year to Date, Month to Date and Previous Month calculations with the click of a mouse button Learn to gain powerful analysis from Stacked Bar and 100% graphs Create powerful Time and Category filters to easily create interactive reports Learn to share your Reports and Dashboards with other users Google Data Studio is truly an amazing product for creating insight and intelligence from your Google Sheets data.You will need a Google Account,Google Sheets and Google Data Studio."--Resource description page.

Google Data Studio a Complete Guide

Author : Gerardus Blokdyk
Publisher : 5starcooks
ISBN 13 : 9780655440260
Total Pages : 280 pages
Book Rating : 4.4/5 (42 download)

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Book Synopsis Google Data Studio a Complete Guide by : Gerardus Blokdyk

Download or read book Google Data Studio a Complete Guide written by Gerardus Blokdyk and published by 5starcooks. This book was released on 2018-10-25 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: What are the success criteria that will indicate that Google Data Studio objectives have been met and the benefits delivered? What are the key enablers to make this Google Data Studio move? What are internal and external Google Data Studio relations? Is supporting Google Data Studio documentation required? What are the barriers to increased Google Data Studio production? Defining, designing, creating, and implementing a process to solve a challenge or meet an objective is the most valuable role... In EVERY group, company, organization and department. Unless you are talking a one-time, single-use project, there should be a process. Whether that process is managed and implemented by humans, AI, or a combination of the two, it needs to be designed by someone with a complex enough perspective to ask the right questions. Someone capable of asking the right questions and step back and say, 'What are we really trying to accomplish here? And is there a different way to look at it?' This Self-Assessment empowers people to do just that - whether their title is entrepreneur, manager, consultant, (Vice-)President, CxO etc... - they are the people who rule the future. They are the person who asks the right questions to make Google Data Studio investments work better. This Google Data Studio All-Inclusive Self-Assessment enables You to be that person. All the tools you need to an in-depth Google Data Studio Self-Assessment. Featuring 668 new and updated case-based questions, organized into seven core areas of process design, this Self-Assessment will help you identify areas in which Google Data Studio improvements can be made. In using the questions you will be better able to: - diagnose Google Data Studio projects, initiatives, organizations, businesses and processes using accepted diagnostic standards and practices - implement evidence-based best practice strategies aligned with overall goals - integrate recent advances in Google Data Studio and process design strategies into practice according to best practice guidelines Using a Self-Assessment tool known as the Google Data Studio Scorecard, you will develop a clear picture of which Google Data Studio areas need attention. Your purchase includes access details to the Google Data Studio self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows your organization exactly what to do next. You will receive the following contents with New and Updated specific criteria: - The latest quick edition of the book in PDF - The latest complete edition of the book in PDF, which criteria correspond to the criteria in... - The Self-Assessment Excel Dashboard, and... - Example pre-filled Self-Assessment Excel Dashboard to get familiar with results generation ...plus an extra, special, resource that helps you with project managing. INCLUDES LIFETIME SELF ASSESSMENT UPDATES Every self assessment comes with Lifetime Updates and Lifetime Free Updated Books. Lifetime Updates is an industry-first feature which allows you to receive verified self assessment updates, ensuring you always have the most accurate information at your fingertips.

Google Analytics Demystified

Author : Joel J. Davis
Publisher : CreateSpace
ISBN 13 : 9781491015995
Total Pages : 0 pages
Book Rating : 4.0/5 (159 download)

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Book Synopsis Google Analytics Demystified by : Joel J. Davis

Download or read book Google Analytics Demystified written by Joel J. Davis and published by CreateSpace. This book was released on 2014-11-18 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Remember the skills it took to learn how to ride a bike? You needed to be actively engaged, hands-on, and have someone patient to guide you step-by-step. Google Analytics Demystified: A Hands-On Approach uses these same principles to help you master Google Analytics. The book helps you not only understand the power of Google Analytics, but also learn how to apply the data to your own strategic information needs and decisions. We'll show you how to obtain the insights needed to improve your visitors' online experience - so they are more likely to engage with and return to your website or blog. In short, we'll show you how you can use Google Analytics to make better informed and more successful decisions related to your own digital property. Here are just some of the questions that we'll help you answer: How are visitors finding my site? What do they do when they arrive? Which content do my visitors find most interesting and motivating? How much of my content is actually being consumed? How do I set site goals and measure how well they are being achieved? What are the strengths and weaknesses of site interactions? What can I do to improve visitors' experience and engagement? How well are my campaigns working? How can I make my campaigns more effective? How can I conduct tests to optimize site characteristics? How do I manage data flow and analysis? How do I choose the most appropriate and useful reports and data? The book's approach is unique. Beyond detailed yet easy to understand explanations of key concepts, the book provides you with a free website. This approach advances your learning in three important ways. First, you will be an active rather than a passive participant in the learning process. You will be able not only to read about what Google Analytics can do, but you can immediately apply and explore key concepts on a working website. Second, you can explore Google Analytics without risk to existing data. Since mistakes are an important part of the learning process, you can make and correct errors without any harm to your existing website. Finally, because you will have an active site and real data, you can explore on your own, thereby increasing your depth of understanding. We walk you through all the steps to obtain and get the free site up and running. There are also self-assessment questions, application exercises, and case studies (all with answers provided) to ensure your full understanding of Google Analytics.

Data Analytics with Google Cloud Platform

Author : Murari Ramuka
Publisher : BPB Publications
ISBN 13 : 9389423635
Total Pages : 277 pages
Book Rating : 4.3/5 (894 download)

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Book Synopsis Data Analytics with Google Cloud Platform by : Murari Ramuka

Download or read book Data Analytics with Google Cloud Platform written by Murari Ramuka and published by BPB Publications. This book was released on 2019-12-16 with total page 277 pages. Available in PDF, EPUB and Kindle. Book excerpt: Step-by-step guide to different data movement and processing techniques, using Google Cloud Platform Services DESCRIPTION Modern businesses are awash with data, making data-driven decision-making tasks increasingly complex. As a result, relevant technical expertise and analytical skills are required to do such tasks. This book aims to equip you with enough knowledge of Cloud Computing in conjunction with Google Cloud Data platform to succeed in the role of a Cloud data expert. The current market is trending towards the latest cloud technologies, which is the need of the hour. Google being the pioneer, is dominating this space with the right set of cloud services being offered as part of GCP (Google Cloud Platform). At this juncture, this book will be very vital and will cover all the services that are being offered by GCP, putting emphasis on Data services. This book starts with sophisticated knowledge on Cloud Computing. It also explains different types of data services/technology and machine learning algorithm/Pre-Trained API through real-business problems, which are built on the Google Cloud Platform (GCP). With some of the latest business examples and hands-on guide, this book will enable the developers entering the data analytics fields to implement an end-to-end data pipeline, using GCP Data services. Through the course of the book, you will come across multiple industry-wise use cases, like Building Datawarehouse using Big Query, a sample real-time data analytics solution on machine learning and Artificial Intelligence that helped with the business decision, by employing a variety of data science approaches on Google Cloud environment. Whether yourÊbusinessÊis at the early stage of cloud implementation in its journey or well on its way to digital transformation,ÊGoogle Cloud'sÊsolutions and technologies will always help chart a path to success. This book can be used to develop the GCP concepts in an easy way. It contains many examples showcasing the implementation of a GCP service. It enables the learning of the basic and advance concepts of Google Cloud Data Platform. This book is divided into 7 chapters and provides a detailed description of the core concepts of each of the Data services offered by Google Cloud. KEY FEATURES Learn the basic concept of Cloud Computing along with different Cloud service provides with their supported Models (IaaS/PaaS/SaaS) Learn the basics of Compute Engine, App Engine, Container Engine, Project and Billing setup in the Google Cloud Platform Learn how and when to use Cloud DataFlow, Cloud DataProc and Cloud DataPrepÊ Build real-time data pipeline to support real-time analytics using Pub/Sub messaging service Setting up a fully managed GCP Big Data Cluster using Cloud DataProc for runningÊApache SparkÊandÊApache HadoopÊclusters in a simpler, more cost-efficient manner Learn how to use Cloud Data Studio for visualizing the data on top of Big Query Implement and understand real-world business scenarios for Machine Learning, Data Pipeline Engineering WHAT WILL YOU LEARN By the end of the book, you will have come across different data services and platforms offered by Google Cloud, and how those services/features can be enabled to serve business needs. You will also see a few case studies to put your knowledge to practice and solve business problems such as building a real-time streaming pipeline engine, Scalable Data Warehouse on Cloud, fully managed Hadoop cluster on Cloud and enabling TensorFlow/Machine Learning APIÕs to support real-life business problems. Remember to practice additional examples to master these techniques. WHO IS THIS BOOK FOR This book is for professionals as well as graduates who want to build a career in Google Cloud data analytics technologies. While no prior knowledge of Cloud Computing or related technologies is assumed, it will be helpful to have some data background and experience. One stop shop for those who wish to get an initial to advance understanding of the GCP data platform. The target audience will be data engineers/professionals who are new, as well as those who are acquainted with the tools and techniques related to cloud and data space.ÊÊ _Ê Ê Ê Individuals who have basic data understanding (i.e. Data and cloud) and have done some work in the field ofÊ data analytics, can refer/use this book to master their knowledge/understanding. _Ê Ê Ê The highlight of this book is that it will start with theÊ basic cloud computing fundamentals and will move on to cover the advance concepts on GCP cloud data analytics and hence can be referred across multiple different levels of audiences.Ê Table of Contents 1. GCP Overview and Architecture 2. Data Storage in GCPÊ 3. Data Processing in GCP with Pub/Sub and DataflowÊ 4. Data Processing in GCP with DataPrep and Dataflow 5. Big Query and Data Studio 6. Machine Learning with GCP 7. Sample Use cases and Examples