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NANODEGREE PROGR AM SYLL ABUSMarketing AnalyticsNeed Help? Speak with an Advisor: www.udacity.com/advisor
OverviewIn this program, you’ll learn foundational data skills, gain an in-depth understanding of Google Analyticsand marketing analytics. You’ll learn to analyze data and build models with Excel, Data Studio, and createinformative data visualizations with Tableau.Estimated Time:3 Months at10hrs/weekPrerequisites:No PrerequisitesFlexible 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/advisorMarketing Analyst 2
Course 1: Introduction to Data AnalysisLearn how to use statistics and visuals to find and communicate insights. Develop Excel skills tomanipulate, analyze, and visualize data in a spreadsheet. Build Excel models to analyze possiblebusiness outcomes.Course ProjectInterpret a DataVisualizationIn this project, you’ll explore an interactive data dashboard touncover insights. You’ll write a short report explaining each insight,and how you found the information to reach your conclusion fromthe dashboard.Course ProjectAnalyze Survey DataIn this project, you’ll use statistics and spreadsheet programs likeExcel to analyze data from over 500 companies on the New YorkStock Exchange. You’ll also forecast financial metrics based on threepossible scenarios for a company of your choice from the NYSEdataset.LEARNING OUTCOMESLESSON ONEDescriptiveStatisticsIn this course, you will learn about data types, measurementcenters, and the basics of statistical and mathematical notation,as well as measures of spread, shape, and outliers as associatedwith quantitative and inferential statistics.LESSON TWOSpreadsheets This course will take you from the basics of spreadsheets tomanipulating data, analyzing data, and visualizing data inspreadsheets.LESSON THREEManipulate Data In this course, you will learn basic spreadsheet function: sortand filter data, use text and math functions, split columns, andremove duplicates, how to summarize data with aggregationand conditional functions, and how to use pivot tables andlookup functions.LESSON FOURVisualize DataIn this course, you will build data visualizations for quantitativeand categorical data; create pie, bar, line, scatter, histogram, andboxplot charts, and build professional presentations.Need Help? Speak with an Advisor: www.udacity.com/advisorMarketing Analyst 3
Course 2: Data VisualizationLearn to apply design and visualization principles to create impactful data visualizations, build datadashboards, and tell stories with data.Course ProjectStorytelling With DataIn this project, you ’ll leverage the lessons you’ve learned aboutstorytelling with data and evaluate a data set to craft a story for aquestion of your choosing focused on an e-commerce retailer.Course ProjectBuild Data DashboardsIn this project, you’ll build interactive dashboards with Tableau anduse them to discover and communicate insights from data. You’ll usea dataset of flight delays in the US to visualize the quality of airlinesand airports, find the best times to fly, and more.LEARNING OUTCOMESLESSON ONEIntroduction toData Visualization In this lesson you will learn how to evaluate the quality of datavisualizations and build high quality visualizations, startingwith the fundamentals of data dashboards.LESSON TWODesign In this lesson you will learn to implement the best designpractices, ad to us the appropriate chart for a particularsituation.LESSON THREEData Visualizationsin Tableau This course teaches you how to build data visualizationsin Tableau using data hierarchies, filters, groups, sets, andcalculated fields, as well as map-based data visualizations inTableau.LESSON FOURMaking Dashboards& Stories in TableauIn this course you will learn how to build interactive Tableaudashboards and tell impactful stories using data.Need Help? Speak with an Advisor: www.udacity.com/advisorMarketing Analyst 4
Course 3: Google AnalyticsIn this course you’ll acquire in-depth knowledge of Google Analytics, as you learn to use advancedreporting techniques, analyze and optimize results, build fluency with Data Studio, and produceactionable insights that power significant business growth.Course ProjectAdvanced Displays,Segments & ViewsUse advanced reporting displays and features to make moredetailed observations, and map GA advanced segments to theirconstituencies. Then, configure view filters and settings to refineand enrich raw GA data for use in identifying audiences forremarketing and testing.Course ProjectNavigating, Reports, &DashboardsDecode, build and troubleshoot campaign URLs. Engage inchannel customization to maximize analytics measurementsand attribution. Then, visualize data insights using advancedreporting techniques, including GA custom reports and DataStudio dashboards.LEARNING OUTCOMESLESSON ONEIntro to GoogleAnalyticsIn this course, you learn how to use Google Analytics toevaluate your audience, measure the success of youracquisition and engagement efforts, evaluate your user’sconversions to your goals, and use those insights to plan andoptimize your marketing budgets.LESSON TWOAdvancedDisplays,Segmentation,and FilteringLearn how to understand data by using Google Analytics forcreating advanced graphical displays and segmentingaudiences.LESSON THREEAcquisition,Conversion,Ecommerce, &AttributionLearn how to use UTM tagging for campaigns and the channelcustomization process, and step through the fundamentals ofusing Google Attribution 360.LESSON FOURDashboards,Custom Reports,AlertsLearn about the fundamentals of creating custom reports, andstep through the process of building data dashboards in GoogleAnalytics & Data Studio.Need Help? Speak with an Advisor: www.udacity.com/advisorMarketing Analyst 5
Course 4: Marketing AnalyticsIn this course you will learn about a wide range of marketing and business metrics, and how toevaluate the growth and health of your marketing efforts.Course ProjectCrafting an Analytic BriefIn this project you’ll create an analytic brief to answer pertinentquestions about your business, your customer, and how you willtest & learn from your marketing analytics initiative. You will usea sample company, or pick a company you are familiar with, tocomplete this exercise.Course ProjectCreate a Campaign ReportIn this project, you’ll use statistics, spreadsheet programs, andpresentation software to develop a comprehensive marketingreport based on a sample dataset. You’ll be tasked with exploringhow well a sample company performed against its objectives as wellas performing specific marketing-related calculations to report oncampaign performance and audience insights.LEARNING OUTCOMESLESSON ONELESSON TWOIntroduction toMarketingAnalyticsIn this course you will learn how marketing data is collected anddistributed, the common questions we seek to answer inmarketing, and how to gather and evaluate the necessarymetrics. You’ll also learn how to set business goals and definethe metrics used to determine if you’ve met those goals.This course will also explore ways to develop confidence inour reporting skills and how to make every analytics projectactionable.Metrics ThatMatterThis course will show you how to identify the correct metricsto be using, and how to use a variety of frameworks to reporton your findings. Additionally, you’ll learn how to create anAnalytic Brief, and explore the most popular tools for collectingdata across every marketing channel.Need Help? Speak with an Advisor: www.udacity.com/advisorMarketing Analyst 6
LESSON THREELESSON FOURAnalyzingMarketing DataThis course will explain how to put all your marketing analyticsskills in practice. You’ll go hands-on with various formulas tocalculate the most common marketing metrics.Macro DigitalAnalysisIn this course, you will learn how to zoom out and explore theworld of analytics from a different perspective. You’ll learn howto calculate important business metrics such as Market Size,Brand Equity, Trends, Competitors, and your Net PromoterScore.Need Help? Speak with an Advisor: www.udacity.com/advisorMarketing Analyst 7
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/advisorMarketing Analyst 8
Learn with the BestBrad BatesoleJosh BernhardMARKE TING E XECUTIVEDATA S C I E N T I S TBrad is a marketing executive whohas led teams of top marketers at topcompanies; Lynda.com, TMZ, LegalZoom,and LinkedIn. He has extensive experiencefrom every angle, from marketing strategyand user experience to social media, paidmedia, and SEO.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.Dana SheahenMat LeonardCO N T E N T D E V E LO P E RCO N T E N T D E V E LO P E RDana is an electrical engineer with aMasters in Computer Science from GeorgiaTech. Her work experience includessoftware development for embeddedsystems in the Automotive Group atMotorola, where she was awarded a patentfor an onboard operating system.Mat is a former physicist, researchneuroscientist, and data scientist. He didhis PhD and Postdoctoral Fellowship at theUniversity of California, Berkeley.Need Help? Speak with an Advisor: www.udacity.com/advisorMarketing Analyst 9
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/advisorMarketing Analyst 10
Frequently Asked QuestionsPROGR AM OVERVIE WWHY SHOULD I ENROLL?This Nanodegree program is an excellent introduction to the fundamentals ofdata and marketing analysis. You will leave with practical skills that you canapply in any job. These skills are also an excellent foundation for a career inmarketing analysis, data analysis, and data science.WHAT JOBS WILL THIS PROGRAM PREPARE ME FOR?This is an introductory program that is not designed to prepare you for aspecific job. However it is well-suited for those those looking to apply dataskills in their current roles. It is also a great first step on a journey to becominga marketing analyst or data scientist. We have more courses that will pick upfrom where this course leaves off to help you become ready for a career inmarketing or data science.HOW DO I KNOW IF THIS PROGRAM IS RIGHT FOR ME?This Nanodegree program offers an ideal path for students new to marketingand data analysis. Data is a transformational force in every marketing teamand business. Analysis of data has become a mandatory skill to have in orderto provide value in any organization. This Nanodegree program offers anintroduction to the world of data. By learning foundational marketing andanalytics tools, you will be ready to advance in a career in marketing analytics.ENROLLMENT AND ADMISSIONDO I NEED TO APPLY? WHAT ARE THE ADMISSION CRITERIA?No. This Nanodegree program accepts all applicants regardless of experienceand specific background.WHAT ARE THE PREREQUISITES FOR ENROLLMENT?There are no prerequisites for enrolling aside from basic computer skills andEnglish proficiency. You should feel comfortable performing basic operationson your computer like opening files and folders, opening applications, andcopying & pasting. Although no prior experience with Google Analytics isrequired, familiarity with the platform is useful.TUITION AND TERM OF PROGR AMHOW IS THIS NANODEGREE PROGRAM STRUCTURED?The Marketing Analytics Nanodegree program is comprised of content andcurriculum to support eight (8) projects. We estimate that students cancomplete the program in three (3) months, working 5-10 hours per week.Need Help? Speak with an Advisor: www.udacity.com/advisorMarketing Analyst 11
FAQs ContinuedEach 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
Marketing Analytics In this course you will learn how marketing data is collected and distributed, the common questions we seek to answer in marketing, and how to gather and evaluate the necessary metrics. You’ll also learn how to set business goals and define the metrics used to determine if you’ve met those goals. This course will also explore ways to develop confidence in
