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Digital Marketing Analytics · LearnSpace
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Digital Marketing Analytics

Курс от University of Maryland, College Park
Начальный≈ 3.9 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

Businesses today have access to an increasingly large amount of detailed customer data, and this influx of “big data” is only going to continue. Combined with a detailed history of marketing actions, there is a newfound potential for deriving actionable insights, but you need the tools to do so. Using real-world applications from various industries, this course will help you understand the tools and strategies used to make data-driven decisions that you can put to use in your own company or business. This valuable data may include in-store and online customer transactions, customer surveys, web analytics, as well as prices and advertising. You’ll also learn how to assess critical managerial problems, develop relevant hypotheses, analyze data and, most importantly, draw inferences to create convincing narratives which yield actionable results. Artificial intelligence and machine learning will be explored as tools to deepen analytical skills and acumen and hone decision making. This comprehensive exploration into digital marketing analytics tools and techniques is critical knowledge for any marketing influencers, digital marketing analysts and product and brand decision makers within small and medium businesses as well as larger organizations with international reach.

Навыки, которые вы освоите

A/B TestingWeb AnalyticsPay Per Click AdvertisingSearch Engine OptimizationData-Driven Decision-MakingCustomer AnalysisAnalyticsData AnalysisContextual AdvertisingCustomer Data ManagementDigital Marketing ToolsMarketing AnalyticsWeb Analytics and SEOPaid mediaData-Driven MarketingBig DataAI PersonalizationSearch Engine MarketingDigital MarketingMachine Learning

Программа курса

3 модулей · 52 учебных материалов

01Introduction to Digital Marketing Analytics30 материалов

Welcome and Course Orientation

Welcome to the Digital Makerting Analytics CourseЧтениеMeet Your Instructor: Michael TrusovВидеоMeet Your Learning GroupОбсуждениеGetting HelpЧтение

Учитесь у экспертов

Michael Trusov

Dean’s Professor of Digital Marketing and Analytics

Digital Marketing Analytics
В каталоге вашей программы

Инвестируйте в себя

Новые знания — в удобное для вас время.

Начать на Coursera

Обучение откроется на Coursera
в новой вкладке

Обучение на Coursera

≈ 3.9 ч

3 модулей

Язык: Английский

Субтитры: Арабский, Французский, Итальянский, Бразильский португальский, Корейский, Немецкий, Испанский, Японский, Казахский

Часть программы вашего университета

Module 1: SEO, Paid Search & Web Analytics

Introduction to SEO, Paid Search, and Web AnalyticsЧтение

1.1 Introduction to Search Engine Optimization and Paid Search

Introduction to Search Engine Optimization and Paid SearchЧтениеSearch Engine Optimization (SEO) and Paid SearchВидеоSearch Engine Optimization (SEO) and Paid SearchЗадание

1.2 Analytics of SEO

Introduction to Analytics of SEOЧтениеAnalytics of On-Page SEOВидеоAnalytics of SEO: Off-Page and TechnicalЧтениеAnalytics of Off-Page and Technical SEOВидеоAnalytics of SEOЗадание

1.3 Analytics of Paid Search

Introduction to Analytics of Paid SearchЧтениеAnalytics of Paid SearchВидеоAnalytics of Paid Search: PPC ReportЧтениеAnalytics of Paid Search: PPC ReportВидеоAnalytics of Paid SearchЗадание

1.4 Web Analytics

Introduction to Web AnalyticsЧтениеWeb Analytics: An IntroductionВидеоWeb Analytics with GoogleЧтениеWeb Analytics with GoogleВидеоWeb Analytics with GoogleЗадание

1.5 SEO, Paid Search & Web Analytics: Practice & Apply

SEO, Paid Search & Web AnalyticsЗаданиеCollege Park Aviation MuseumЧтениеCollege Park Aviation MuseumОбсуждение

1.6 Scenario: Analyzing PPC Report

PPC SearchЧтениеPPC ReportsЧтениеAnalyzing PPC ReportЗаданиеKeyword Problems and SolutionsЧтение
02Online Testing and Recommendation Systems21 материалов

Module 2: Online Testing and Recommendation Systems

Introduction to Online Testing and Recommendation SystemsЧтение

2.1 Online Testing

Introduction to Online TestingЧтениеIntroduction to Online TestingВидеоOnline Testing: Step-by-StepЧтениеOnline Testing: Step-by-StepВидеоOnline TestingЗадание

2.2 Online Testing: Experiment Design

Introduction to Experiment DesignЧтениеOnline Testing: Experiment DesignВидеоExperiment Design Terminology IdentificationPLUGIN

2.3 Recommendation Systems

Introduction to Recommendation SystemsЧтениеRecommendation SystemsВидеоRecommendation SystemsЗадание

2.4 Approaches to Making Recommendations

Introduction to Approaches to Making RecommendationsЧтениеApproaches to Making RecommendationsВидеоApproaches to Making RecommendationsЗадание

2.5 Online Testing & Recommendation: Practice and Apply

Apply: Online Testing & RecommendationЧтениеOnline Testing & RecommendationЗаданиеCollege Park Aviation Museum Creating Display AdОбсуждение

2.6 Scenario: Online Testing

Online Testing for EVOЧтениеOnline Testing for EVOЗаданиеShopping Cart Page Decline in PerformanceОбсуждение
03End-of-Course Evaluation1 материалов
Apply Your Learning: End-of-Course EvaluationЗадание