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Marketing Intelligence Masterclass: Data, AI & Automation
Rating: 3.5 out of 5(4 ratings)
28 students

Marketing Intelligence Masterclass: Data, AI & Automation

Turn Insights into Impact with Data-Driven, AI-Powered Marketing Strategies
Created byEduonix Learning Solutions
Last updated 7/2025
English
English [Auto],

What you'll learn

  • Using AI tools like ChatGPT to generate high-performing content, emails, and ad copy
  • Creating automated workflows with tools like Zapier and Make to save time and boost efficiency
  • Designing and optimizing end-to-end marketing funnels using data, AI, and automation
  • Hands-on projects that simulate real-life marketing scenarios and strategic decision-making

Course content

3 sections • 116 lectures • 7h 51m total length

  • Introduction1:52

    Explore how data and data science enable marketing decisions, personalize customer experiences, and boost engagement and ROI through segmentation, personalized marketing, and targeted advertising.

  • Learn how DS can drive Marketing Strategy & Decision Making8:37

    Discover how data science drives marketing strategy and decision making by leveraging clustering for customer segmentation, predictive analytics, personalized marketing, recommender systems, sentiment analysis, and market basket insights.

  • Data Science LifeCycle & ML Algorithm13:58

    Explore the data science life cycle and machine learning, from framing business challenges to deploying models in production. Understand data preparation, model evaluation, and ongoing maintenance to keep solutions relevant.

  • GenAI & LLM's13:34

    Explore generative AI and large language models, their NLP capabilities, and how retrieval augmented generation with enterprise data enables personalized marketing, SEO optimization, and smart chatbots.

  • Understanding Consumer Behavior Through Data Analysis & Segmentation4:01

    Understand consumer behavior through data analysis and segmentation to personalize offerings, optimize marketing, boost satisfaction and loyalty, and drive revenue through targeted cross-selling and trend forecasting.

  • Behavioral Segmentation - Mini Project Demo11:01

    Learn customer segmentation with python and k-means on merged customer data, purchase behavior, and engagement metrics. Use principal component analysis to visualize clusters and identify high, moderate, and low spenders.

  • Predictive Modelling of Customer Lifetime Value(CLV)5:32

    Learn to predict customer lifetime value using purchase history, demographics, and engagement metrics with regression-based models, enabling data-driven marketing, better resource allocation, and lifecycle insights.

  • Customer Journey Mapping4:14

    Map your customers' journeys by visualizing touchpoints and channels while analyzing data from CRM, website analytics, store data, purchase data, and social media to segment audiences and tailor offerings.

  • Explore Techniques for Personalized Marketing & Targeted Advertising0:46

    Explore techniques for personalized marketing and targeted advertising, including predictive lead scoring, real-time personalization, and market mix modeling, with a practical Python demo.

  • Predictive Lead Scoring using Machine Learning Models14:19

    Explore how predictive lead scoring uses machine learning models across real estate, finance, insurance, and telecom, from data gathering to model deployment and ongoing evaluation.

  • Demo25:19

    Explore a worked-out predictive lead scoring model using influencer attributes and a converted target, including dummy variables for location, train-test split, standardization, and logistic regression achieving about 0.77 accuracy.

  • Machine Learning for Real-time Personalization11:39

    Explore real-time personalization powered by machine learning across streaming, travel, ads, and ecommerce, with techniques like collaborative filtering, content-based filtering, and matrix factorization.

  • Market Mix Modeling9:45
  • Introduction7:12

    Learn to build a customer service chat bot for product queries using large language models, retrieval augmented generation, language embeddings, and vector databases with conversational memory.

  • Practical Implementation13:34

    Upload a CSV of product data, convert to language embeddings, store in a vector database, and power a GPT-4 chat UI with conversational memory and a retriever.

Requirements

  • No prior experience in marketing, data science, or AI is required

Description

The future of marketing is smart, data-driven, and powered by AI—are you ready to lead the change?

Whether you're a budding marketer, startup founder, or seasoned strategist, this 3-in-1 Udemy bundle is your ultimate gateway to mastering the digital space with precision, automation, and innovation.

Traditional marketing tactics are no longer enough. In this fast-evolving digital age, marketers need to understand data, leverage AI, and automate their processes to stay ahead. This bundle equips you with the tools, strategies, and mindset to thrive in today’s competitive landscape.

What You’ll Master in This Growth-Focused Bundle

1. Data Science for Marketing

  • Analyze customer behavior and uncover trends that drive smarter decision-making.

  • Build and interpret marketing dashboards using Excel, Python, or Google Sheets.

  • Perform segmentation, cohort analysis, A/B testing, and customer lifetime value analysis.

  • Learn how to forecast campaign results and optimize based on actionable insights.

2. Marketing Mastery with ChatGPT

  • Use AI to generate persuasive content for emails, ads, blogs, landing pages, and social posts.

  • Learn the art of prompt engineering to get better, faster results from ChatGPT.

  • Automate content calendars and campaign planning with AI support.

  • Design entire customer journeys with personalized messaging tailored by AI.

3. Automation Tools for Business & Marketing

  • Master no-code tools like Zapier, Make (Integromat), Airtable, Trello, and Google Sheets.

  • Build automated workflows for lead generation, CRM updates, email follow-ups, and more.

  • Eliminate repetitive tasks and focus on strategy and creativity.

  • Learn how to integrate different platforms through APIs for seamless data flow.

Why This Bundle Is Different

  • Outcome-Oriented Learning – Every lesson ties directly to measurable business growth.

  • From Basics to Advanced – Ideal for beginners yet powerful enough for professionals.

  • Real-World Projects – Work on hands-on exercises and case studies to apply what you learn immediately.

  • Instructor Access and Peer Community – Get guidance, feedback, and collaborate with other learners.



Who this course is for:

  • Aspiring marketers looking to break into the field with future-ready skills Marketing professionals wanting to upgrade their strategies with data, AI, and automation

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