Overview What You Will Learn Curriculum Instructor

Course Overview

Artificial Intelligence is transforming modern marketing by enabling data-driven decisions, accurate forecasting, and personalized customer experiences. By applying machine learning and predictive analytics, marketers can better understand customer behavior, optimize campaigns, and improve business outcomes. This course focuses on building a strong analytical foundation for implementing AI effectively in marketing strategies.

This course begins with an introduction to AI-driven marketing, machine learning basics, and predictive analytics concepts. It then covers data collection, cleaning, preprocessing, and feature engineering, followed by exploratory data analysis using statistics and visualization. You will learn to build predictive models using supervised and unsupervised learning techniques, evaluate and tune models, and address overfitting challenges. The course includes practical case studies on customer churn prediction and sales forecasting and concludes with implementing AI-powered customer segmentation strategies for real-world marketing applications.

You will gain practical skills to analyze marketing data, build predictive models, and apply AI-driven insights to improve customer targeting, retention, and sales performance.

What You Will Learn

  • Master AI-driven marketing strategies to optimize campaigns.
  • Build predictive models to forecast customer behavior effectively.
  • Analyze and interpret marketing data for actionable insights.
  • Segment customers using machine learning and clustering techniques.
  • Automate marketing tasks with AI tools and workflows.
  • Design personalized marketing strategies with predictive analytics.
  • Visualize data through professional-level dashboards and tools.
  • Apply AI to enhance ROI and business growth in marketing efforts.

Program Curriculum

  • Course Outline
  • Understanding AI in Marketing
  • Basics of Machine Learning
  • Overview of Predictive Analytics
  • Chapter 1 Quiz

  • Identifying Data Sources
  • Data Cleaning and Preprocessing – Handling Missing Values
  • Data Cleaning and Preprocessing – Data Normalization and Standardization
  • Data Cleaning and Preprocessing – Feature Engineering
  • Hands-on Exercise
  • Chapter 2 Quiz

  • Introduction to Exploratory Data Analysis
  • Descriptive Statistics
  • Data Visualization
  • Chapter 3 Quiz

  • Introduction to Predictive Modeling
  • Supervised Learning Techniques – Linear Regression and Random Forests
  • Unsupervised Learning Techniques – Clustering Techniques
  • Unsupervised Learning Techniques – Principal Component Analysis
  • Chapter 4 Quiz

  • Model Evaluation Techniques – Cross Validation
  • Model Evaluation Techniques – Performance Metrics
  • Hyperparameter Tuning
  • Overfitting and Underfitting
  • Chapter 5 Quiz

  • Problem Definition
  • Data Preparation
  • Model Building
  • Chapter 6 Quiz

  • Problem Definition
  • Data Preparation
  • Model Building
  • Model Evaluation
  • Chapter 7 Quiz

  • Leveraging AI for Customer Segmentation - Part 1
  • Leveraging AI for Customer Segmentation - Part 2
  • Chapter 8 Quiz
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Instructor

Meta Brains

Meta Brains is a professional training brand developed by a team of software developers and finance professionals who have a passion for Coding, Finance & Excel. We bring together both professional and educational experiences to create world-class training programs accessible to everyone. Currently, we're focused on the next great revolution in computing: The Metaverse. Our ultimate objective is to train the next generation of talent so we can code & build the metaverse together!

Join over 1 Million professionals from the most renowned Companies in the world!

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