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    • Marketing Analytics

    필터링 기준

    "marketing analytics"에 대한 1235개의 결과

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      Meta

      Meta Marketing Analytics

      획득할 기술: Marketing, Probability & Statistics, Data Analysis, Business Analysis, Digital Marketing, Communication, Entrepreneurship, General Statistics, Advertising, Algorithms, Computer Programming, Leadership and Management, Market Analysis, Sales, Statistical Programming, Strategy, Strategy and Operations, Theoretical Computer Science, Statistical Analysis, Python Programming, Research and Design, Software Engineering, Software Testing, Data Visualization, Market Research, Basic Descriptive Statistics, Business Communication, Data Analysis Software, Data Visualization Software, Econometrics, Experiment, Exploratory Data Analysis, Machine Learning, Machine Learning Algorithms, Regression, Spreadsheet Software, Statistical Tests, Storytelling, Accounting, Computer Networking, Finance, Financial Analysis, Journalism, Network Security, Operating Systems, Regulations and Compliance, Security Engineering, Security Strategy, System Security, Tableau Software, Web Development

      4.7

      (1.5k개의 검토)

      Beginner · Professional Certificate · 3-6 Months

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      University of Virginia

      Marketing Analytics

      획득할 기술: Marketing, Business Analysis, Market Analysis, Brand Management, Communication, Customer Analysis, Market Research, Marketing Management, Research and Design, Benefits, Change Management, Compensation, Conflict Management, Correlation And Dependence, Customer Relationship Management, Digital Marketing, FinTech, Finance, Financial Management, HR Tech, Human Resources Operations, Investment Management, Leadership Development, Marketing Design, Mergers & Acquisitions, Payments, Probability & Statistics, Professional Development, Recruitment, Regression, Regulations and Compliance, Risk Management, Securities Sales, Securities Trading, Statistical Analysis, Talent Management, Underwriting, Entrepreneurship, Experiment, General Statistics, Leadership and Management, Sales, Strategy, Strategy and Operations

      4.7

      (6.2k개의 검토)

      Beginner · Course · 1-3 Months

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      Google

      Google Data Analytics

      획득할 기술: Data Analysis, Statistical Programming, Data Science, Business Analysis, SQL, Spreadsheet Software, Data Visualization, Business, Data Management, Data Visualization Software, R Programming, Leadership and Management, Exploratory Data Analysis, Statistical Visualization, Change Management, Strategy and Operations, Communication, Statistical Analysis, Data Analysis Software, Business Communication, Data Structures, Tableau Software, Big Data, Cloud Computing, Critical Thinking, Customer Analysis, General Statistics, Plot (Graphics), Probability & Statistics, Small Data, Algorithms, Application Development, Budget Management, Computational Logic, Computer Architecture, Computer Networking, Computer Programming, Computer Programming Tools, Cryptography, Data Mining, Data Model, Database Administration, Database Design, Databases, Decision Making, Design and Product, Distributed Computing Architecture, Entrepreneurship, Extract, Transform, Load, Feature Engineering, Finance, Financial Analysis, Full-Stack Web Development, Interactive Data Visualization, Machine Learning, Mathematical Theory & Analysis, Mathematics, Network Security, Other Programming Languages, Problem Solving, Product Design, Programming Principles, Project Management, Research and Design, Security Engineering, Security Strategy, Software Engineering, Software Security, Storytelling, Theoretical Computer Science, Visual Design, Visualization (Computer Graphics), Web Development

      4.8

      (100.6k개의 검토)

      Beginner · Professional Certificate · 3-6 Months

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      Emory University

      Foundations of Marketing Analytics

      획득할 기술: Probability & Statistics, Data Analysis, Business Analysis, Basic Descriptive Statistics, Forecasting, General Statistics, Marketing, Regression, Data Visualization, Statistical Visualization, Advertising, Communication, Correlation And Dependence, Customer Analysis, Exploratory Data Analysis, Marketing Management, Spreadsheet Software, Statistical Analysis, Inventory Management, Prospecting and Qualification, Research and Design, Sales, Supply Chain and Logistics, Survey Creation, Accounting, Big Data, Data Management, Financial Analysis, Journalism, Market Analysis, Microsoft Excel, Social Media

      4.2

      (427개의 검토)

      Intermediate · Specialization · 3-6 Months

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      University of Pennsylvania

      Business Analytics

      획득할 기술: Business Analysis, Data Analysis, Probability & Statistics, Statistical Analysis, General Statistics, Research and Design, Forecasting, Strategy and Operations, Correlation And Dependence, Financial Analysis, Accounting, Human Resources, Marketing, Operational Analysis, Operations Management, Operations Research, Probability Distribution, Spreadsheet Software, Supply Chain and Logistics, Customer Analysis, Financial Accounting, Market Analysis, Market Research, Basic Descriptive Statistics, Exploratory Data Analysis, Finance, People Management, Performance Management, Regulations and Compliance, Statistical Tests, Talent Management, Collaboration, Communication, Critical Thinking, Data Management, Data Mining, Data Model, Data Visualization, Generally Accepted Accounting Principles (GAAP), HR Tech, Leadership Development, Leadership and Management, MarTech, Marketing Management, Media Strategy & Planning, Microsoft Excel, Organizational Development, Plot (Graphics), Process Analysis, Recruitment, Statistical Programming, Statistical Visualization, Applied Mathematics, Big Data, Business Psychology, Computational Logic, Computer Programming, Computer Programming Tools, Data Analysis Software, Data Structures, Decision Making, Entrepreneurship, Estimation, Mathematics, Network Analysis, People Analysis, People Development, Regression, Sales, Strategy, Theoretical Computer Science

      4.6

      (17.1k개의 검토)

      Beginner · Specialization · 3-6 Months

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      IBM

      IBM Cybersecurity Analyst

      획득할 기술: Security Engineering, Cyberattacks, Computer Security Incident Management, Network Security, System Security, Network Model, Computer Networking, Cryptography, Python Programming, Security Strategy, System Software, Cloud Infrastructure, Human Factors (Security), Operating Systems, Computer Programming, Databases, Other Programming Languages, Cloud Computing, Cloud Engineering, DevOps, Linux, Mobile Security, Software Security, Agile Software Development, Application Development, Cloud Management, Computer Architecture, Computer Security Models, Data Analysis, Data Management, Data Structures, Data Warehousing, Database Administration, Database Application, Distributed Computing Architecture, Entrepreneurship, Finance, Leadership and Management, Marketing, Mathematics, Mobile Development, Network Analysis, Network Architecture, Networking Hardware, Regulations and Compliance, SQL, Sales, Security Software, Software Engineering, Software Testing, Statistical Programming, Strategy, Strategy and Operations, Theoretical Computer Science

      4.6

      (18.8k개의 검토)

      Beginner · Professional Certificate · 3-6 Months

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      University of California, Davis

      Market Research

      획득할 기술: Entrepreneurship, Market Research, Research and Design, Marketing, Survey Creation, Basic Descriptive Statistics, Business Analysis, Communication, Data Analysis, Data Visualization, Probability & Statistics, Statistical Analysis, Digital Marketing, Market Analysis, Regression, Social Media, Storytelling, Geovisualization, Writing

      4.6

      (1.2k개의 검토)

      Beginner · Specialization · 3-6 Months

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      University of Colorado Boulder

      Text Marketing Analytics

      획득할 기술: Machine Learning, Network Analysis, Python Programming

      Beginner · Specialization · 3-6 Months

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      Meta

      Marketing Analytics with Meta

      획득할 기술: Entrepreneurship, Leadership and Management, Marketing, Probability & Statistics, Sales, Strategy, Strategy and Operations, Digital Marketing, Communication, Advertising, Market Analysis, Research and Design, Software Engineering, Software Testing, Business Communication, Market Research, Data Analysis

      4.8

      (103개의 검토)

      Beginner · Course · 1-3 Months

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      Meta

      Marketing Analytics Foundation

      획득할 기술: Digital Marketing, Marketing, Advertising, Communication, Business Analysis, Data Analysis, Data Analysis Software, Data Visualization, Data Visualization Software, Market Analysis, Spreadsheet Software, Computer Networking, Entrepreneurship, Finance, Leadership and Management, Network Security, Operating Systems, Regulations and Compliance, Sales, Security Engineering, Security Strategy, Strategy, Strategy and Operations, System Security, Web Development

      4.8

      (1.2k개의 검토)

      Beginner · Course · 1-4 Weeks

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      Macquarie University

      Global Master of Business Administration (MBA)

      획득할 기술: Leadership and Management, Entrepreneurship, Marketing, Strategy and Operations, Communication, Influencing, Business Psychology, Sales, Change Management, Resilience, Strategy, Human Resources, Business Analysis, Customer Analysis, Customer Relationship Management, Design and Product, Emotional Intelligence, Finance, Accounting, Adaptability, Cloud Computing, Conflict Management, Culture, Human Computer Interaction, Market Analysis, Market Research, Negotiation, Planning, Product Strategy, Research and Design, Small Data, Storytelling, Supply Chain and Logistics, User Research, Data Analysis, Data Analysis Software, Data Visualization, Data Visualization Software, Decision Making, Journalism, Leadership Development, Professional Development, Tableau Software

      학위 취득

      Degree · 1-4 Years

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      Google

      Google Digital Marketing & E-commerce

      획득할 기술: Marketing, Sales, Entrepreneurship, Communication, Digital Marketing, Leadership and Management, Strategy and Operations, Research and Design, Strategy, E-Commerce, Market Research, Media Strategy & Planning, Social Media, Web Development, Back-End Web Development, Data Analysis, Business Analysis, Human Computer Interaction, Search Engine Optimization, Advertising, Business Communication, Writing, Customer Success, Professional Development, Survey Creation, Big Data, Cloud Computing, Data Management, Data Mining, Data Visualization, Financial Analysis, General Statistics, Probability & Statistics, Shipping and Receiving, Software As A Service, Software Engineering, Software Testing, Storytelling, Supply Chain and Logistics, User Experience, Web Development Tools, Accounting, Brand Management, Influencing, Public Relations, Algorithms, Benefits, Computer Networking, Customer Relationship Management, Customer Support, Finance, Human Resources, Market Analysis, Mathematical Theory & Analysis, Mathematics, Microsoft Excel, Networking Hardware, Planning, Theoretical Computer Science

      4.8

      (10.3k개의 검토)

      Beginner · Professional Certificate · 3-6 Months

    marketing analytics과(와) 관련된 검색

    marketing analytics: know your customers
    marketing analytics with meta
    marketing analytics foundation
    marketing analytics capstone project
    meta marketing analytics
    digital marketing analytics in practice
    digital marketing analytics in theory
    text marketing analytics
    1234…84

    요약하자면, 여기에 가장 인기 있는 marketing analytics 강좌 10개가 있습니다.

    • Meta Marketing Analytics: Meta
    • Marketing Analytics: University of Virginia
    • Google Data Analytics: Google
    • Foundations of Marketing Analytics: Emory University
    • Business Analytics: University of Pennsylvania
    • IBM Cybersecurity Analyst: IBM
    • Market Research: University of California, Davis
    • Text Marketing Analytics: University of Colorado Boulder
    • Marketing Analytics with Meta: Meta
    • Marketing Analytics Foundation: Meta

    Marketing에서 학습할 수 있는 스킬

    시장(경제학) (28)
    소셜 미디어 (15)
    마케팅 전략 (14)
    분석 (13)
    브랜드 (13)
    디지털 마케팅 (13)
    계획 (11)
    광고 (9)
    모델링 (9)
    소셜 미디어 마케팅 (9)
    브랜드 관리 (7)

    마케팅 분석에 대한 자주 묻는 질문

    • Marketing analytics is a set of tools used by market researchers to measure, analyze, and interpret marketing metrics so that they can make informed decisions about brand development and customer experiences. Especially in this era of big data, marketing analytics has become a powerful tool in the pursuit of important business goals like improving brand equity and increasing customer lifetime value.

      In order to derive meaningful insights from customers, market research has always used direct tools like surveys and marketing experiments. Yet, now with e-commerce and social media creating vast customer datasets, data analysis techniques can be used to create more sophisticated models of consumer behavior. For example, linear regression analysis can be used to identify key variables affecting customer purchases, allowing for the creation of predictive analytics that can be used to guide marketing choices.‎

    • Analytics skills help organizations navigate the future by enabling them to harness insights from the ever-expanding pools of data being generated each and every moment. Being able to make sense of this data is important for marketing professionals of all kinds, making marketing analytics a valuable skill for brand managers, survey researchers, social media specialists, and chief marketing officers (CMOs) alike.

      A background in marketing analytics is particularly important for market research analysts. They gather, analyze, and interpret data on products, customers, and competitors to inform product development, advertising, and sales plans. According to the Bureau of Labor Statistics, they make a median salary of $63,790 per year, and their job growth is expected to be much faster than the average for all occupations due to the increasing use of data and market research across many industries.‎

    • Absolutely! Coursera offers a broad range of online courses and Specializations on marketing analytics, as well as associated topics like digital marketing and business analytics. With Coursera, you can learn about marketing analytics remotely from top-ranked institutions like the University of Virginia, Emory University, and the University of Pennsylvania, so you won’t have to sacrifice the quality of your education to learn online.

      You’ll be completing the same coursework and working with the same faculty as on-campus students, yet at a lower tuition. And, with collaborative group projects, you’ll also get to practice the teamwork skills that are so important to marketing teams the world over.‎

    • The skills and experience that you might need to already have before starting to learn marketing analytics would include a keen sense of B2C or B2B purchasing habits, a strong knowledge of keyword research and data analytics, and an understanding of the basics of SEO. Marketing analysts use these skills together to analyze, measure, and manage the marketing performance of a product or service. This process involves data analytics, marketing research, sales and inventory, and other data points to help optimize a product’s return on investment (ROI).‎

    • The kind of people best suited for work that involves marketing analytics are people who are good at understanding business, marketing, and consumer behavior. When you work in marketing analytics, you need to organize data, develop spreadsheet models to analyze the data, and use this finished product to support business decisions about consumers for your products. People in marketing analytics may be creative and analytical at the same time, using both sides of the brain to make accurate product management decisions. The kind of people who are best suited for marketing analytics roles may be the ones who understand how to measure brand and customer assets, evaluate the effectiveness of keywords in an SEO campaign, and know the basics of pinpointing key marketing messages.‎

    • You might know if learning marketing analytics is right for you if you love to study data and try to analyze any obvious patterns that can help you adjust marketing messages. For instance, if the marketing analytics shows you a pattern of more sales over weekends for a certain online course, then you can use this information to bring possible discounts and savings to high-volume buyers on the weekend. If you love to Interpret data in these ways for future marketing and business decisions, then learning marketing analytics may be the right career move for you.‎

    이 FAQ 콘텐츠는 정보 전달 목적만으로 사용할 수 있습니다. 학습자는 과정 및 기타 학점 정보가 개인적, 직업적 및 재정적 목표에 부합하는지 확인하기 위해 추가 조사를 수행하는 것이 좋습니다.
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