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Book Data Analysis and Dashboards with Google Data Studio

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.

Book Google Data Studio for Beginners

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.

Book Hands On With Google Data Studio

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.

Book Data Storytelling with Google Looker Studio

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.

Book Google Analytics with Google Data Studio

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.

Book Data Analytics with Google Cloud Platform

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

Book Data Storytelling with Google Data Studio

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.

Book Marketing Analytics Dashboards Design

Download or read book Marketing Analytics Dashboards Design written by Issam Arab and published by Independently Published. This book was released on 2024-07-28 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master the Art of Dashboard Design with Looker Studio and Collaborative Design Tools Like Figma- this comprehensive guide is your ultimate resource for crafting cutting-edge marketing dashboards using tools like Looker Studio and Figma. It is designed to bridge the often complex gap between designers and data analysts, ensuring both can collaborate effectively to create impactful dashboards. Conceptualization and Strategy: Starting with an overview of marketing analytics, the book illustrates the crucial role of prototyping in dashboard design. It underscores the importance of using collaborative design tools like Figma to preemptively visualize the success of data interfaces and interactions. This part of the book doesn't only outline the core purpose of prototyping but also contrasts low-fidelity and high-fidelity designs, providing insights into their appropriate applications and limitations. Technical Skills and Application: Further into the book, you are guided through the nuances of designing and implementing dashboards for Looker Studio. From setting up your design environment in Figma to importing and fine-tuning these designs in Looker Studio, the book provides a roadmap for maintaining design fidelity amidst technical constraints. Detailed discussions cover the inherent design limits in Looker Studio, offering strategies to navigate these challenges effectively. Advanced Techniques and Best Practices: The book extends beyond basic design principles, exploring advanced topics such as integrating storytelling into data visualization and optimizing dashboards for different uses. It offers practical insights into managing limitations, such as Looker Studio's restricted animation capabilities and the challenges of combining various chart types. Bridging Design and Analysis: Specifically tailored to enhance mutual understanding, this guide equips designers with knowledge of analytical boundaries and data analysts with essential design and conceptualization techniques. This approach prevents common pitfalls in dashboard creation, ensuring designs are not only feasible but also primed for implementation. Ideal for data analysts seeking to understand design principles and designers aiming to grasp the nuances of marketing analytics, this book is an indispensable resource for anyone looking to develop visually stunning and analytically robust marketing dashboards. Step into the role of both designer and analyst with this guide and revolutionize your approach to dashboard creation in the realm of digital marketing.

Book Google Data Studio Most Used Features

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

Book Google Data Studio a Complete Guide

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.

Book Using Digital Analytics for Smart Assessment

Download or read book Using Digital Analytics for Smart Assessment written by Tabatha Farney and published by American Library Association. This book was released on 2017-10-31 with total page 186 pages. Available in PDF, EPUB and Kindle. Book excerpt: Focusing on digital analytics principles and concepts, this book walks you through the many tools available, including step-by-step examples for typical library needs.

Book Learning Google Analytics

Download or read book Learning Google Analytics written by Mark Edmondson and published by "O'Reilly Media, Inc.". This book was released on 2022-11-10 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: Why is Google Analytics 4 the most modern data model available for digital marketing analytics? Because rather than simply report what has happened, GA4's new cloud integrations enable more data activation—linking online and offline data across all your streams to provide end-to-end marketing data. This practical book prepares you for the future of digital marketing by demonstrating how GA4 supports these additional cloud integrations. Author Mark Edmondson, Google Developer Expert for Google Analytics and Google Cloud, provides a concise yet comprehensive overview of GA4 and its cloud integrations. Data, business, and marketing analysts will learn major facets of GA4's powerful new analytics model, with topics including data architecture and strategy, and data ingestion, storage, and modeling. You'll explore common data activation use cases and get guidance on how to implement them. You'll learn: How Google Cloud integrates with GA4 The potential use cases that GA4 integrations can enable Skills and resources needed to create GA4 integrations How much GA4 data capture is necessary to enable use cases The process of designing dataflows from strategy though data storage, modeling, and activation

Book Google Analytics

    Book Details:
  • Author : Mary E. Tyler
  • Publisher : John Wiley & Sons
  • Release : 2006-12-18
  • ISBN : 0470105445
  • Pages : 338 pages

Download or read book Google Analytics written by Mary E. Tyler and published by John Wiley & Sons. This book was released on 2006-12-18 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: You know you need to analyze the success of your Web site, but how? Do you even know what to look for? Is there a tool powerful enough to help you evaluate your marketing efforts, products, and services, but simple enough to use if you're not a propeller-head? Google Analytics is that tool, and this is the handbook you need to make it work for you. Learn to set up Google Analytics, understand the reports it generates, and use the information to make your Web site a real asset to your business. Get familiar with the concept of analytics, what Google Analytics offers, and how it compares to popular site statistics programs. Learn to set up the program, navigate the interface, understand filters, and use goal-setting features. Integrate Google Analytics with Google AdWords. Make the most of reporting dashboards. Find out how to use analytics for marketing and content optimization. Understand what each type of report means and how to interpret it. Explore how other companies have used analytics to improve site performance. Investigate how to use Google Analytics for complete e-commerce analysis. Order your copy today and make your Web site work for you!

Book Social Data Analytics

Download or read book Social Data Analytics written by Amin Beheshti and published by CRC Press. This book was released on 2022-08-01 with total page 251 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is an introduction to social data analytics along with its challenges and opportunities in the age of Big Data and Artificial Intelligence. It focuses primarily on concepts, techniques and methods for organizing, curating, processing, analyzing, and visualizing big social data: from text to image and video analytics. It provides novel techniques in storytelling with social data to facilitate the knowledge and fact discovery. The book covers a large body of knowledge that will help practitioners and researchers in understanding the underlying concepts, problems, methods, tools and techniques involved in modern social data analytics. It also provides real-world applications of social data analytics, including: Sales and Marketing, Influence Maximization, Situational Awareness, customer success and Segmentation, and performance analysis of the industry. It provides a deep knowledge in social data analytics by comprehensively classifying the current state of research, by describing in-depth techniques and methods, and by highlighting future research directions. Lecturers will find a wealth of material to choose from for a variety of courses, ranging from undergraduate courses in data science to graduate courses in data analytics.

Book Configuration Across Charts in Google Data Studio

Download or read book Configuration Across Charts in Google Data Studio 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: Seven configurations can be applied to all available charts in Google Data Studio explained with pictures and how to use them. by 3pieanalytics.com | Deepak Kumar Estimated Reading Time: Comfortable Reading (2.5 WPS): 13 min Medium Reading (4.5 WPS): 7 min Fast Reading (5.5 WPS): 6 min

Book Big Data Analytics  From Data to Discovery

Download or read book Big Data Analytics From Data to Discovery written by Dr. Sudhakar.K and published by Leilani Katie Publication. This book was released on 2024-06-12 with total page 207 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dr. Sudhakar.K, Associate Professor, Department of Artificial Intelligence & Data Science, NITTE Meenakshi Institute of Technology, Bangalore, Karnataka, India. Mrs.Noor Sumaiya, Assistant Professor, Department of Computer Science Engineering, The Oxford College of Engineering, Bangalore, Karnataka, India. Mrs.Niveditha.S, Assistant Professor, Department of Information Science & Engineering, Don Bosco Institute of Technology, Bangalore, Karnataka, India. Mr.Debarshi Mazumder, Assistant Professor, Department of Artificial Intelligence & Data Science, NITTE Meenakshi Institute of Technology, Bangalore, Karnataka, India.

Book Data Science Quick Reference Manual Analysis and Visualization

Download or read book Data Science Quick Reference Manual Analysis and Visualization written by Mario A. B. Capurso and published by Mario A.B. Capurso. This book was released on with total page 221 pages. Available in PDF, EPUB and Kindle. Book excerpt: This work follows the 2021 curriculum of the Association for Computing Machinery for specialists in Data Sciences, with the aim of producing a manual that collects notions in a simplified form, facilitating a personal training path starting from specialized skills in Computer Science or Mathematics or Statistics. It has a bibliography with links to quality material but freely usable for your own training and contextual practical exercises. Second of a series of books, it covers methodological aspects, analysis and visualization. It describes the CRISP DM methodology, the working phases, the success criteria, the languages and the environments that can be used, the application libraries. Since this book uses Orange for the application aspects, its installation and widgets are described. In visualization, historical notes are made, and next the book describes the characteristics of an effective visualization, the types of messages that can be conveyed, the Grammar of Graphics, the use of a graph and a dashboard, the software and libraries that can be used, the role and use of color. 55 types of graphs are then analyzed, reporting meaning, use, examples and visual dimensions also with a vocabulary of graphs and summary tables. Examples are given in Orange and the possible use of Python with Orange is explained. Visualization-based inference is discussed, exploratory and confirmatory analysis is defined and techniques are reported. The book is accompanied by supporting material and it is possible to download the project samples in Orange and sample data.