NANODEGREE PROGRAM SYLLABUS Data Visualization

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NANODEGREE PROGR AM SYLL ABUSData VisualizationNeed Help? Speak with an Advisor: www.udacity.com/advisor

OverviewThis program is appropriate for students with some experience with data analysis. You should understanddescriptive statistics, such as calculating measures of center (mean, median, mode), measures of spread(variance, standard deviation), and data distributions (normal distribution, skewness). You should also befamiliar with analyzing data in spreadsheets (Excel, Google Sheets, etc.). If you do not have this background,there are courses included in the extracurricular section of the program to help you.Estimated Time:4 Months at10hrs/weekPrerequisites:Basic Data AnalysisFlexible Learning:Self-paced, soyou can learn onthe schedule thatworks best for youNeed Help?udacity.com/advisorDiscuss this programwith an enrollmentadvisor.Need Help? Speak with an Advisor: www.udacity.com/advisorData Visualization 2

Course 1: Intro to Data VisualizationIn this course, you’ll learn the fundamentals of data visualization and design. You’ll learn to select the mostappropriate data visualization based on the goal of the analysis. You’ll learn important design elements forgraphically representing data. You’ll also learn to use Tableau to build interactive and engaging dashboards.Course ProjectBuild Data DashboardsSharing insights is an integral part of working with data. In thisproject, you’ll build interactive dashboards with Tableau. You’lluse a dataset of flight delays in the US to visualize the quality ofairlines and airports, find the best times to fly, and more. Thesetypes of visualizations help guide decision making to reach the bestoutcomes.LEARNING OUTCOMESLESSON ONEData VisualizationFundamentals Evaluate the quality of data visualizations and build highquality visualizations.LESSON TWODesign Principles Implement the best design practices, and use the mostappropriate chart for a particular situationLESSON THREECreatingVisualizations inTableau Build data visualizations in Tableau Use data hierarchies, filters, groups, sets, and calculatedfields. Create map-based data visualizations in Tableau.LESSON FOURTelling Stories withTableau Build interactive Tableau dashboards. Construct a data story using Tableau StorypointNeed Help? Speak with an Advisor: www.udacity.com/advisorData Visualization 3

Course 2: Dashboard DesignIn this course, you’ll learn the process of designing and creating dashboards within an enterpriseenvironment. You’ll learn to discover user needs, identify key metrics, and tailor your dashboard to aparticular audience. You’ll learn to use design elements to maximize the effectiveness of the dashboardand how to iterate based on user feedback.Course ProjectDesign a Dashboard,Part 1In this project, you’ll build a prototype of a dashboard for a specificaudience with sketches and wireframes. The purpose of this projectis to go through the prototyping and wireframing stage of dashboarddesign. This will include exploring and understanding the data, anddeveloping prototypes. You will create a proof of concept dashboardto explore the data in multiple ways.Course ProjectDesign a Dashboard,Part 2In this project, you’ll transform the prototype into a final design ofthe dashboard for the specific audience. The design will be definedby the audience’s graphicacy, data literacy, domain expertise, usertype, business metrics that matter most, and any other attributesthat might influence the design. This dashboard’s main purpose is toensure the appropriate data has been chosen for decisions needingto be made. Then you’ll make the dashboard truly insightful byadding design elements that draw the user’s eye to points of interestbased on data. You’ll transform your visualizations to emphasize themost important points and add interactivity further facilitating theusers’ desired actions.LEARNING OUTCOMESLESSON ONEPlanning Phase Uncover and understand user needs for a dashboard project. Determine the level of the audience’s graphicacy. Identify measurable key metrics.LESSON TWODesign Phase Design a dashboard using sketching and wireframing. Build a simple dashboard prototype.LESSON THREEPrototyping &Feedback Gather feedback from dashboard users. Iterate on the prototype and complete a finished dashboardNeed Help? Speak with an Advisor: www.udacity.com/advisorData Visualization 4

Course 3: Data StorytellingIn this course, you will learn the end to end process for telling a story and providing a recommendationbased on data. You’ll learn to create a “ghost deck” to define a problem statement, scope possibleanalyses, and outline a set of potential solutions. You’ll also learn to identify what type of data analysistool is appropriate for specific types of visualizations. You will learn how to identify limitations andbiases in data. Lastly, you’ll learn to create a polished deck that uncovers the story from within the datathrough data visualizations.Course ProjectBuild a Data Story,Part 1In this mid-term project, you’ll take the role of a data science consultantfor a large production company and use the Movies Metadata dataset.The goal will be to apply the skills in structuring a data story and topractice defining your own problem statement and the analyses youplan to do. The goal of this project is to define your own problemstatement and the flow of a powerful data story. You’ll create a ghostdeck with the problem statement, potential analyses, and a set ofpotential recommendations.Course ProjectBuild a Data Story,Part 2In this project, you’ll continue to build on the mid-term project. Buildingon the ghost deck, you will perform various analyses to understandand find insights from the Movies Metadata. You will identify thelimitations and biases in data that affect the recommendations. You willput it all together by building on your ghost deck, conducting the actualanalysis, and creating a final presentation with final recommendationsand an executive summary of key next steps.LEARNING OUTCOMESLESSON ONEDefine ProblemStatement Clearly articulate and communicate a problem statement for adata projectLESSON TWOBuilding a GhostDeck Create an issue tree and hypothesis driven structure Create a “ghost deck” — a skeleton deck commonly used bymanagement consultants to identify a client’s needs.Need Help? Speak with an Advisor: www.udacity.com/advisorData Visualization 5

LESSON THREELESSON FOURLimitations andBiases Identify potential limitations and sources of bias in youranalyses. Communicate the appropriate caveats of a recommendation.Delivering a DataPresentation Create an analyses roadmap that encompasses the analysesyou plan to do. Clearly articulate the “so what” of your analysis. Communicate your data story to support a concise set ofrecommendations.Need Help? Speak with an Advisor: www.udacity.com/advisorData Visualization 6

Course 4: Advanced Data StorytellingIn this course, you’ll learn advanced data visualization and storytelling techniques. You will learn about thevarious types of data stories and how to find and use them effectively. You’ll learn to use Tableau Storypointto add interactivity and other visual elements to a story. Then you’ll learn to add animation and narration toyour analyses with both Tableau Pages and Flourish.Course ProjectAnimate a Data Story,Part 1In this project, you will use a World Bank Indicators data file to createan interactive data presentation using indicators of your choice. Youwill choose the fields for various dimensions (e.g., country, year) andidentify trends and patterns in the data set. You will apply your skills ofcreating charts, graphs, maps, dashboards and story types in Tableauand create a coherent data story for your audience.Course ProjectAnimate a Data Story,Part 2In this project, you will build on your mid-term project from the WorldBank Indicators data file to create an animated data story. In this finalpart of the project, you will create an animated data story and add anaudio track to create a narrated finished product that you can add toyour portfolio.Capstone ProjectReviewingMakeoverMondayDashboardsIn the capstone project, you will write a blog to describe how youwould improve an existing visualization.You will have a choice of datasets to choose from, and you will writeabout your recommendations that would improve existing visualswere you to create a different dashboard, data presentation, oranimated story.Need Help? Speak with an Advisor: www.udacity.com/advisorData Visualization 7

LEARNING OUTCOMESLESSON ONEEight Data Story Types Identify the different data story types and how to find anduse them to tell interesting data stories.LESSON TWOCreating Stories inTableau Add interactivity to data stories. Create an interactive data story in Tableau Storypoint.LESSON THREEAnimating Data Understand the use cases for animating data.Create an animated dashboard with Tableau Pages.LESSON FOURAnimation andNarration Add audio and narration to your data stories usingFlourish. Create Flourish interactive stories.Need Help? Speak with an Advisor: www.udacity.com/advisorData Visualization 8

Our Classroom ExperienceREAL-WORLD PROJECTSBuild your skills through industry-relevant projects. Getpersonalized feedback from our network of 900 projectreviewers. Our simple interface makes it easy to submityour projects as often as you need and receive unlimitedfeedback on your work.KNOWLEDGEFind answers to your questions with Knowledge, ourproprietary wiki. Search questions asked by other students,connect with technical mentors, and discover in real-timehow to solve the challenges that you encounter.STUDENT HUBLeverage the power of community through a simple, yetpowerful chat interface built within the classroom. UseStudent Hub to connect with fellow students in yourprogram as you support and learn from each other.WORKSPACESSee your code in action. Check the output and quality ofyour code by running them on workspaces that are a partof our classroom.QUIZZESCheck your understanding of concepts learned in theprogram by answering simple and auto-graded quizzes.Easily go back to the lessons to brush up on conceptsanytime you get an answer wrong.CUSTOM STUDY PLANSPreschedule your study times and save them to yourpersonal calendar to create a custom study plan. Programregular reminders to keep track of your progress towardyour goals and completion of your program.PROGRESS TRACKERStay on track to complete your Nanodegree program withuseful milestone reminders.Need Help? Speak with an Advisor: www.udacity.com/advisorData Visualization 9

Learn with the BestMat LeonardJosh BernhardINS TRUC TIONAL DESIGNERAT K A G G L EDATA S C I E N T I S TAT N E R D WA L L E TMat is a former physicist, researchneuroscientist, and data scientist. He didhis PhD and Postdoctoral Fellowship atthe University of California, Berkeley.Josh has been sharing his passion fordata for nearly a decade at all levels ofuniversity, and as Lead Data ScienceInstructor at Galvanize. He’s used datascience for work ranging from cancerresearch to process automation.Robert CrockerMalavica SridharDATA V I S UA L I Z AT I O N CO N S U LTA N TAT I B MS E N I O R P R O D U C T M A N AG E RAT C I R C L E U PRobert is a Data Visualization consultantwith over 7 years of experience leveragingTableau at places such as First RepublicBank, Charles Schwab, and Pinterest.He now provides solutions to clientsall over the world, providing training toprofessionals and executing projects onsiteand remotely.Malavica is a Senior Product Manager withover five years of experience. Her workincludes building Helio, an ML platformused to identify breakout brands inearly-stage consumer packaged goodscompanies.Need Help? Speak with an Advisor: www.udacity.com/advisorData Visualization 10

All Our Nanodegree Programs Include:EXPERIENCED PROJECT REVIEWERSREVIEWER SERVICES Personalized feedback & line by line code reviews 1600 Reviewers with a 4.85/5 average rating 3 hour average project review turnaround time Unlimited submissions and feedback loops Practical tips and industry best practices Additional suggested resources to improveTECHNICAL MENTOR SUPPORTMENTORSHIP SERVICES Questions answered quickly by our team oftechnical mentors 1000 Mentors with a 4.7/5 average rating Support for all your technical questionsPERSONAL CAREER SERVICESC AREER SUPPORT Resume support Github portfolio review LinkedIn profile optimizationNeed Help? Speak with an Advisor: www.udacity.com/advisorData Visualization 11

Frequently Asked QuestionsPROGR AM OVERVIE WWHY SHOULD I ENROLL?Data analysis and communication are highly sought after skills. RecentLinkedIn research even pointed to data presentation as one of the top 10most in-demand skills.Udacity has collaborated with Tableau and highly skilled industry leaders tobuild this program. You’ll get hands-on practice visualizing data and usingthem to clearly communicate data-driven recommendations.By taking this course, you will combine hard skills in data analysis andvisualization with soft skills in presentation, storytelling, and communicationto create effective presentations.WHAT JOBS WILL THIS PROGRAM PREPARE ME FOR?This program is intended to supplement existing skills and is not meant toprepare you for a specific role. However, the skills you gain are appropriatefor many fields including business, marketing, data analytics, executiveleadership, and more.HOW DO I KNOW IF THIS PROGRAM IS RIGHT FOR ME?This program is intended for two types of students: business leaders and dataprofessionals.If you are a business leader looking to leverage data to communicate moreeffectively, this program is for you. You’ll be able to make your case for abusiness goal using data to tell a story.If you are a data analyst, data scientist, machine learning engineer, or otherdata professional, this program will help you communicate your findingsmore effectively. You’ll be able to influence your business by showcasing andcommunicating the most important pieces of data.ENROLLMENT AND ADMISSIONDO I NEED TO APPLY? WHAT ARE THE ADMISSION CRITERIA?There is no application. This Nanodegree program accepts everyone,regardless of experience and specific background.WHAT ARE THE PREREQUISITES FOR ENROLLMENT?This program is appropriate for students with some experience with dataanalysis. You should understand descriptive statistics, such as calculatingmeasures of center (mean, median, mode), measures of spread (variance,Need Help? Speak with an Advisor: www.udacity.com/advisorData Visualization 12

FAQs Continuedstandard deviation), and distributions (normal distribution, skewness). Youshould also be familiar with analyzing data in spreadsheets (Excel, GoogleSheets, etc.). If you do not have this background, there are courses included inthe extracurricular section of the program to help you.IF I DO NOT MEET THE REQUIREMENTS TO ENROLL, WHAT SHOULD I DO?If you need to sharpen your pre-requisite skills, try the Intro to DescriptiveStatistics course.TUITION AND TERM OF PROGR AMHOW IS THIS NANODEGREE PROGRAM STRUCTURED?The Data Visualization Nanodegree program is comprised of content andcurriculum to support four (4) projects. We estimate that students cancomplete the program in four (4) months working 10 hours per week.Each project will be reviewed by the Udacity reviewer network. Feedback willbe provided and if you do not pass the project, you will be asked to resubmitthe project until it passes.HOW LONG IS THIS NANODEGREE PROGRAM?Access to this Nanodegree program runs for the length of time specified inthe payment card above. If you do not graduate within that time period, youwill continue learning with month to month payments. S

Build your skills through industry-relevant projects. Get personalized feedback from our network of 900 project reviewers. Our simple interface makes it easy to submit your projects as often as you need and receive unlimited feedback on your work. KNOWLEDGE Find answers to your questions with Knowledge, our proprietary wiki.

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