Course 1: Welcome to the Nanodegree Program 1 hourWelcome to the Data Visualization Nanodegree programWelcome to the Data Visualization Nanodegree program! In this lesson, you will learn more about the structure of the program and meet the team.Getting HelpYou are starting a challenging but rewarding journey! Take 5 minutes to read how to get help with projects and content.Introduction to Data Visualization Nanodegree program Welcome to the Data Visualization Nanodegree program! In this lesson, you will learn more about the structure of the program and meet the team.Course 2: Data Visualization in Tableau Learn how to build engaging and interactive Tableau dashboards to answer business questions. Start with an overview of data visualization best practices, including visual encodings, chart junk, and accessibility. Then dive into Tableau, from connecting to your first data source to creating interactive visualizations. Manipulate data and plots using hierarchies, dual axes, and calculated fields. Tell compelling stories using Tableau dashboards and story points. In the final project, you will build Tableau visualizations to answer key questions about a selection of datasets.10 hoursDesign Principles for Effective Data Visualizations OverviewGet introduced to the core ideas behind effective data visualization, including design principles, common chart types, and how visuals support storytelling with data.Plot Types and When to Use ThemLearn how to choose the right visualizations for exploring data or communicating insights, from histograms to time series to side-by-side bar charts.Data Visualization Design IntegrityApply design principles to make your data visualizations clear, effective, and trustworthy.Using Color and Additional EncodingsUse color, shape, and size to highlight patterns, emphasize insights, and support accessible data communication.Design Principles for Effective Data Visualizations ReviewReview the key ideas behind effective data visualizations and reflect on how principles like chart selection and clarity support strong data storytelling.Getting Started with TableauGet started with Tableau by installing the software, connecting to datasets, and preparing your workspace for analysis.Getting Started with Tableau VisualizationsLearn how to build and save your first Tableau visualizations using dimensions, measures, and calculated fields.Getting Started with Tableau ReviewRecap how Tableau organizes data and visualizations, including key components like rows, columns, and calculated fields, as you reflect on your first experience using the tool.Working with Core Chart Types OverviewGet a preview of essential Tableau features—like marks, filters, and chart types—that will support deeper exploration and more advanced visualizations.Aggregations and Granularity in TableauLearn how to control aggregation and granularity in Tableau to create more insightful visualizations.Using Hierarchies for Drill-Down AnalysisBuild interactive visualizations by drilling into custom and automatic hierarchies in Tableau.Customizing Marks and Filters for Insightful VisualsUse marks and filters in Tableau to focus your visuals and highlight insights.Choosing and Customizing Chart Types in TableauBuild a range of effective chart types in Tableau and customize them for clarity and impact.Advanced Grouping and CalculationsCreate custom metrics and dynamic data groupings in Tableau using calculated fields, table calculations, groups, and sets.Working with Core Chart Types ReviewRecap the essential Tableau concepts introduced in this lesson, including marks, filters, chart types, hierarchies, and grouping—reinforcing your understanding before diving deeper in future modules.Creating Interactive Dashboards and Stories OverviewExplore how dashboards and stories can bring multiple views of your data together, setting the stage for interactivity, deeper analysis, and compelling communication in Tableau.Creating Custom DashboardsBuild and customize dashboards in Tableau to bring together key charts, metrics, and layout elements for data storytelling.Interactive and Responsive Dashboard DesignBuild engaging dashboards with filters, highlights, mobile layouts, and intentional design that guides decision-making.From Exploration to CommunicationLearn how to guide an audience through your insights with explanatory dashboards and Tableau Stories that communicate data clearly and persuasively.Creating Interactive Dashboards and Stories ReviewReflect on how interactive dashboards and stories can enhance your data communication and prepare you to apply your Tableau skills with purpose and clarity.Build Tableau VisualizationsIn this project, you'll build an interactive Tableau dashboard to discover and communicate insights from data.Course 3: Dashboard Design In this course, you’ll learn the process of designing and creating dashboards within an enterprise environment. You’ll learn to discover user needs, identify key metrics, and tailor your dashboard to a particular audience. You’ll learn to use design elements to maximize the effectiveness of the dashboard and how to iterate based on user feedback.13 hoursIntroduction to Dashboard DesignIn this lesson, we introduce the topic of Dashboard design, take a look at the outline for the course, and take a sneak peek at the final project.Planning PhaseIn order to design a dashboard that meets our users needs we need to first understand what they are after and what are their pain points. Early discussions are critical in the planning phase.Design PhaseStudents will learn about the design phase of creating their dashboards. This includes considering graphicacy, chart choice, visual hierarchy. Tools like sketching and wireframing are practiced.Design a Data Dashboard Midterm ProjectIn this project, you will build a dashboard prototype along with sketches and wireframes for the prototype. The dashboard will be designed based on the Superstore database from Tableau.Polishing Dashboards for ProductionIn this lesson, students will learn how to design the final dashboard by attending to the text hierarchy, affordance, interactivity of the dashboard, annotations, and color scheme.Design a Data Dashboard Final ProjectIn this final project, students complete the dashboard they designed in the mid-point. They will add color, annotations, interactivity and make it production ready.Course 4: Data Storytelling Tell compelling stories with data by learning to define problem statements, identify biases, build ghost decks, and design visualizations that transform raw analysis into polished recommendations for stakeholders.17 hoursIntroduction to Story TellingIn this lesson, we will introduce the topic of Story Telling and also go over the course outline, including a sneak peek at the 2 projects that are part of the course.Define Problem StatementIn this lesson students will understand how to clearly articulate the problem statement that is driving the analysis, and why it matters.Issue Trees and Building a Ghost DeckIn this lesson students will learn to build an analysis roadmap to stay efficient with your analysis time. An analysis roadmap consists of two key elements: (1) an issue tree and (2) a ghost deck.Build a Data Story Midterm ProjectIn this mid-term project, apply the skills in structuring a data story on a Movies Metadata and practice defining your own problem statement and the analyses you plan to do.aLimitations and BiasesThe data you work with is flawed and in this lesson students will learn where bias can be introduced in the collection, processing, and analysis process and call these caveats out.Visualizations and Tying it TogetherThis lesson ties everything together. It covers effective visualizations depending on the problem you are solving, and reviewing a data presentation end to end.Build a Data Story Final ProjectBuilding on the ghost deck, you will perform various analyses to identify the limitations and biases in data that affect the recommendations, and you will now create a final presentation.Course 5: Advanced Data Storytelling Build engaging, animated data stories. Practice using Tableau Storypoint, Tableau Pages, and Flourish to design interactive visuals, apply narration, and showcase insights in compelling, professional ways.19 hoursWelcome to Advanced Data StorytellingIn this welcome lesson, you will meet your instructor and learn about the pre-requisite skills of this course. You will also have an overview of the topics covered in this course.Eight Data Story TypesYou learn about sequential data stories, and how eight different story types can be used to find and tell interesting data stories.Creating stories in TableauYou will learn how to tell interactive stories by creating stories in Tableau. You will learn how to add a Hans Rosling bubble chart to Tableau and how to create a Tableau Storypoint Workbook.Animate a Data Story Midterm ProjectIn this lesson, you will apply the skills you have acquired in this course to use the World Bank Indicators data file to create an interactive Tableau Story.Animating VisualizationsYou will use datasets for animating data and build out animations with Tableau pages and get introduced to Flourish.Animation and NarrationYou will learn how to add audio and narration to your data stories using Flourish, including setting up the files, charts, animation, and audio files to create interactive stories.Animate a Data Story Final ProjectIn this lesson, students will create an animated data story and add an audio track to create a narrated Flourish story that they can add to their portfolio. Course 6: Data Visualization Capstone 4 hoursCapstone ProjectIn the capstone project, you will write a blog to describe how you would improve an existing visualization. You will have a choice of datasets to choose from, and you will write your recommendations.Course 7: Congratulations! Congratulations on finishing your program!10 minutesCongratulations!Congratulations on your graduation from this program! Please join us in celebrating your accomplishments.Course 8: Optional[Supplemental] Introduction to Data OptionalThe course "[Supplemental] Introduction to Data" offers a comprehensive exploration of essential data concepts and tools. It begins with two foundational lessons on Descriptive Statistics, equipping learners with the skills to summarize and interpret data effectively. The course further delves into practical applications using spreadsheets, where students will learn to manipulate, analyze, and visualize data. Each lesson builds progressively, enabling participants to develop robust data management capabilities. By the course's conclusion, students will be well-prepared to engage with data analytically and extract meaningful insights, laying the groundwork for more advanced studies.15 hoursDescriptive Statistics IIn this lesson, you will learn about data types, measures of center, and the basics of statistical and mathematical notation.Descriptive Statistics IIIn this lesson, you will learn about measures of spread, shape, and outliers as associated with quantitative data. You will also get a first look at descriptive and inferential statistics.Spreadsheets 2: Manipulate DataIn this lesson, you will learn basic spreadsheet function: sort and filter data, use text and math functions, split columns and remove duplicates.Spreadsheets 3: Analyze DataIn this lesson, you will learn how to summarize data with aggregation and conditional functions. You will learn how to use pivot tables and lookup functions.Spreadsheets 4: Visualize DataIn this lesson you will build data visualizations for quantitative and categorical data; create pie, bar, line, scatter, histogram, and boxplot charts, and build professional presentations. CompanyAbout Us Why Udacity? 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