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    Results for "predictive analytics in marketing"

    • Status: New AI skills
      New AI skills
      G

      Google

      Google Data Analytics

      Skills you'll gain: Data Storytelling, Data Literacy, Data Visualization, Data Presentation, Data Ethics, Rmarkdown, Interactive Data Visualization, Interviewing Skills, Data Cleansing, Data Validation, Ggplot2, Tableau Software, Presentations, Spreadsheet Software, Data Analysis, Data Visualization Software, Stakeholder Communications, Dashboard, Sampling (Statistics), R Programming

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      167K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: New AI skills
      New AI skills
      G

      Google

      Google Digital Marketing & E-commerce

      Skills you'll gain: Media Planning, Search Engine Marketing, Email Marketing, Data Storytelling, Social Media Strategy, Search Engine Optimization, Social Media Marketing, Content Creation, Order Fulfillment, Google Ads, Online Advertising, A/B Testing, Social Media Campaigns, Target Audience, Digital Marketing, E-Commerce, Loyalty Programs, Customer Retention, Customer experience strategy (CX), Campaign Management

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      39K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • M

      Meta

      Meta Marketing Science Certification Prep

      Skills you'll gain: Marketing Analytics, Bayesian Statistics, Descriptive Statistics, Marketing Effectiveness, Statistical Hypothesis Testing, A/B Testing, Target Audience, Marketing Strategies, Marketing Planning, Statistical Inference, Sampling (Statistics), Data Collection, Data Modeling, Statistics, Advertising Campaigns, Campaign Management, Marketing, Analytics, Google Analytics, Data Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.7K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Unlock Access to 10,000+ courses with a subscription.

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    • U

      University of Virginia Darden School Foundation

      Generative AI in Marketing

      Skills you'll gain: Large Language Modeling, Customer Insights, ChatGPT, Branding, Design Thinking, Keyword Research, Search Engine Marketing, AI Personalization, Pay Per Click Advertising, Brand Awareness, Brand Strategy, Marketing Design, Advertising, Marketing Strategy and Techniques, Business Marketing, Personalized Service, Prompt Engineering, Customer Relationship Management, Customer experience improvement, Customer Engagement

      4.3
      Rating, 4.3 out of 5 stars
      ·
      98 reviews

      Beginner · Specialization · 1 - 3 Months

    • U

      Unilever

      Unilever Digital Marketing Analyst

      Skills you'll gain: Data Storytelling, Marketing Automation, Web Analytics, Marketing Effectiveness, Marketing Analytics, Customer Insights, Digital Marketing, Social Media Campaigns, Market Analysis, Google Analytics, Social Media Marketing, Customer Analysis, Search Engine Marketing, Marketing Strategies, Social Media Strategy, Customer experience strategy (CX), Performance Reporting, Search Engine Optimization, Predictive Analytics, MarTech

      4.7
      Rating, 4.7 out of 5 stars
      ·
      231 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: AI skills
      AI skills
      M

      Meta

      Meta Social Media Marketing

      Skills you'll gain: Paid media, Social Media Marketing, Social Media Management, Social Media, Marketing Analytics, Target Audience, Marketing Budgets, Social Media Strategy, Social Media Campaigns, Instagram, Content Creation, Campaign Management, Marketing Effectiveness, Online Advertising, Marketing, Performance Analysis, Key Performance Indicators (KPIs), Goal Setting, Advertising, Facebook

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      21K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • E

      Emory University

      Foundations of Marketing Analytics

      Skills you'll gain: Pivot Tables And Charts, Customer Analysis, Probability Distribution, Customer Demand Planning, Marketing Analytics, Forecasting, Descriptive Statistics, Microsoft Excel, Social Media Marketing, Exploratory Data Analysis, Probability, Statistical Analysis, Marketing Effectiveness, Target Market, Social Media, Revenue Forecasting, Time Series Analysis and Forecasting, Predictive Modeling, Statistics, Marketing

      4.3
      Rating, 4.3 out of 5 stars
      ·
      516 reviews

      Intermediate · Specialization · 3 - 6 Months

    • U

      University of Virginia

      Marketing Analytics

      Skills you'll gain: Marketing Analytics, Marketing Effectiveness, Marketing, Marketing Strategies, Regression Analysis, Data-Driven Decision-Making, Strategic Marketing, Brand Management, Resource Allocation, Customer Insights, Predictive Analytics, Advertising Campaigns, Statistical Analysis, A/B Testing, Consumer Behaviour, Return On Investment

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.4K reviews

      Beginner · Course · 1 - 3 Months

    • G

      Google

      Assess for Success: Marketing Analytics and Measurement

      Skills you'll gain: Media Planning, A/B Testing, Marketing Budgets, Key Performance Indicators (KPIs), Marketing Analytics, Marketing Effectiveness, Performance Measurement, Data Visualization, Google Analytics, Google Ads, Return On Investment, Spreadsheet Software, Data Presentation, Web Analytics, Online Advertising, Digital Marketing, Pivot Tables And Charts, Stakeholder Communications, Data Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2K reviews

      Beginner · Course · 1 - 4 Weeks

    • M

      Meta

      Marketing Analytics Foundation

      Skills you'll gain: Data Collection, Marketing, Marketing Analytics, Google Analytics, Digital Marketing, Application Programming Interface (API), Personally Identifiable Information, Web Analytics, Information Privacy, Data Integration, Analytics, Facebook, Data-Driven Decision-Making, Advertising

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.2K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: AI skills
      AI skills
      M

      Meta

      Meta Marketing Analytics

      Skills you'll gain: Data Storytelling, Business Metrics, Key Performance Indicators (KPIs), Marketing Analytics, Bayesian Statistics, Descriptive Statistics, Marketing Effectiveness, Statistical Hypothesis Testing, Target Audience, Marketing Strategies, Data Cleansing, Pandas (Python Package), Data Modeling, Data Analysis, Data Visualization Software, Spreadsheet Software, A/B Testing, Data Collection, Marketing, Interviewing Skills

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.8K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: AI skills
      AI skills
      M

      Microsoft

      Microsoft Power BI Data Analyst

      Skills you'll gain: Data Storytelling, Dashboard, Excel Formulas, Extract, Transform, Load, Power BI, Data Analysis Expressions (DAX), Microsoft Excel, Microsoft Copilot, Data Modeling, Data-Driven Decision-Making, Star Schema, Data Analysis, Data Presentation, Data Visualization Software, Spreadsheet Software, Data Validation, Interactive Data Visualization, Data Transformation, Data Cleansing, Data Storage

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      7.1K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    1234…834

    In summary, here are 10 of our most popular predictive analytics in marketing courses

    • Google Data Analytics: Google
    • Google Digital Marketing & E-commerce: Google
    • Meta Marketing Science Certification Prep: Meta
    • Generative AI in Marketing: University of Virginia Darden School Foundation
    • Unilever Digital Marketing Analyst: Unilever
    • Meta Social Media Marketing: Meta
    • Foundations of Marketing Analytics: Emory University
    • Marketing Analytics: University of Virginia
    • Assess for Success: Marketing Analytics and Measurement: Google
    • Marketing Analytics Foundation: Meta

    Frequently Asked Questions about Predictive Analytics In Marketing

    Predictive Analytics in Marketing uses data, statistical algorithms, and machine learning techniques to identify the likelihood of future outcomes based on historical data. It's all about providing the best assessment of what will happen in the future so that businesses can make more informed decisions and strategize effectively. It can help in various aspects of marketing, like customer segmentation, campaign management, sales forecasting, and customer churn prediction. To build skills in predictive analytics in marketing, one needs to have a good understanding of data analysis, statistical modeling, machine learning algorithms, and marketing strategies. Courses in data science, statistics, and marketing analytics can be beneficial. Practical experience can be gained by working on real-world data projects.‎

    1. Marketing Analyst: They use predictive analytics to understand customer behavior, market trends, and marketing effectiveness.

    2. Data Scientist: They use predictive models to help companies understand potential future scenarios, including customer behavior and market trends.

    3. Customer Insights Analyst: They use predictive analytics to understand customer needs and preferences and predict future buying behaviors.

    4. Digital Marketing Specialist: They use predictive analytics to optimize online marketing campaigns and improve customer engagement.

    5. CRM Analyst: They use predictive analytics to optimize customer relationship management strategies.

    6. SEO Specialist: They use predictive analytics to forecast changes in search engine algorithms and user behavior.

    7. Social Media Analyst: They use predictive analytics to understand social media trends and predict future engagement.

    8. Market Research Analyst: They use predictive analytics to forecast market trends and consumer behavior.

    9. Pricing Analyst: They use predictive analytics to optimize pricing strategies based on predicted customer responses.

    10. Sales Forecast Analyst: They use predictive analytics to predict future sales trends and help the sales team meet their targets.

    11. Product Manager: They use predictive analytics to forecast product performance and market demand.

    12. E-commerce Analyst: They use predictive analytics to optimize e-commerce strategies, including pricing, product recommendations, and customer engagement.‎

    To get started with Predictive Analytics in Marketing, especially if you're aiming to build your skills via Coursera, here are the steps you should consider:

    1. Basic Understanding of Marketing: Start with a foundational course in marketing to understand the core concepts.

    2. Learn Data Analysis: Enroll in introductory courses for data analysis. These should cover the basics of statistical analysis and interpretation of data.

    3. Master Statistical Software: Choose a tool such as R or Python and find courses on Coursera that teach data analysis with these tools. Make sure they include practical assignments.

    4. Study Predictive Modeling: Look for courses explicitly focusing on predictive modeling and machine learning. These courses should cover a range of techniques, from regression analysis to more complex algorithms.

    5. Data Visualization Skills: Take courses on data visualization tools like Tableau or PowerBI to learn how to present data findings in a clear, impactful way.

    6. Specialize in Marketing Analytics: Find courses that tie predictive analytics with marketing. These will help you understand how to apply your analytical skills to market segmentation, targeting, and campaign analysis.

    7. Practical Projects: Engage in hands-on projects, either as part of your courses or independently, to apply what you've learned in real-world scenarios.

    8. Advanced Courses and Specializations: Once you have the basics down, you can move on to more advanced courses and specializations focusing on CRM analytics, A/B testing, and advanced machine learning techniques used in marketing.

    9. Professional Certificates: Consider earning a professional certificate on Coursera that endorses your skills in predictive analytics for marketing.

    10. Stay Updated: Marketing and analytics are rapidly evolving fields. Keep learning through new courses, workshops, and webinars to stay up-to-date with the latest tools and techniques.

    By following these steps, you'll build a solid foundation in predictive analytics for marketing, equipping you with the skills to analyze data and create effective marketing strategies.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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