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Hands On With Google Data Studio

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Hands On With Google Data Studio

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Author : Lee Hurst
language : en
Publisher: John Wiley & Sons
Release Date : 2020-01-09

Hands On With Google Data Studio written by Lee Hurst and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-09 with Computers categories.

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.

Google Data Studio Hands On

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Author : Hassan Khan
language : en
Publisher:
Release Date : 2019

Google Data Studio Hands On written by Hassan Khan and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with categories.

"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

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Author : Sireesha Pulipati
language : en
Publisher: Packt Publishing Ltd
Release Date : 2022-10-27

Data Storytelling With Google Looker Studio written by Sireesha Pulipati and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-27 with Computers categories.

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.

Hands On With Google Data Studio

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Author : Lee Hurst
language : en
Publisher: John Wiley & Sons
Release Date : 2020-01-09

Data Storytelling With Google Data Studio

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Author : Sireesha Pulipati
language : en
Publisher: Packt Publishing
Release Date : 2022-10-27

Data Storytelling With Google Data Studio written by Sireesha Pulipati and has been published by Packt Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-27 with categories.

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.

Hands On Machine Learning On Google Cloud Platform

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Author : Giuseppe Ciaburro
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-04-30

Hands On Machine Learning On Google Cloud Platform written by Giuseppe Ciaburro and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-04-30 with Computers categories.

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

Google Data Studio For Beginners

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Author : Grant Kemp
language : en
Publisher: Apress
Release Date : 2020-12-13

Google Data Studio For Beginners written by Grant Kemp and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-13 with Computers categories.

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.

Google Data Studio Most Used Features

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Author : Deepak Kumar | 3Pie Analytics
language : en
Publisher: Deepak Kumar
Release Date :

Google Data Studio Most Used Features written by Deepak Kumar | 3Pie Analytics and has been published by Deepak Kumar this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.

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

Google Analytics With Google Data Studio

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Author : Ian Littlejohn
language : en
Publisher:
Release Date : 2018

Google Analytics With Google Data Studio written by Ian Littlejohn and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with categories.

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.

Data Analytics With Google Cloud Platform

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Author : Murari Ramuka
language : en
Publisher: BPB Publications
Release Date : 2019-12-16

Data Analytics With Google Cloud Platform written by Murari Ramuka and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-16 with Computers categories.

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

Hands On With Google Data Studio

Hands On With Google Data Studio

Google Data Studio Hands On

Data Storytelling With Google Looker Studio

Hands On With Google Data Studio

Data Storytelling With Google Data Studio

Hands On Machine Learning On Google Cloud Platform

Google Data Studio For Beginners

Google Data Studio Most Used Features

Google Analytics With Google Data Studio

Data Analytics With Google Cloud Platform

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