Ai-Driven Sales Forecasting And Market Analysis 2025

Master AI-Powered Sales Forecasting, Customer Segmentation, and Market Analysis

What you'll learn

Explore the role of Artificial Intelligence in revolutionizing sales forecasting and market analysis

Master the implementation of Linear Regression models to predict continuous sales data with precision

Discover customer retention strategies through Logistic Regression and interpret performance using the Confusion Matrix

Implement K-Means Clustering to segment customers based on behavior and preferences effectively

Leverage AI tools like Julius AI to automate predictive modeling processes

Analyze sales trends by identifying seasonality and trends using advanced forecasting techniques

Create actionable insights from sales data using AI-powered tools for smarter decision-making

Requirements

No prior experience needed—just a computer, internet access, and a willingness to explore AI-powered sales and market analysis!

Description

If you are a sales professional, business analyst, or entrepreneur looking to stay ahead in today’s competitive market, this course is for you. Are you struggling to predict sales trends, understand customer behavior, or make data-driven decisions? Imagine the power of using AI to transform your sales strategies and market insights effortlessly.This course equips you with the tools and techniques to harness the power of Artificial Intelligence for accurate sales forecasting and deep market analysis. By blending foundational concepts with hands-on experience, you'll gain the skills to predict trends, retain customers, and uncover actionable insights with ease.In this course, you will:Develop predictive models for continuous data using Linear Regression and Julius AI.Master customer retention strategies through Logistic Regression and interpret key metrics like the Confusion Matrix.Implement clustering techniques to segment your customer base effectively.Leverage AI to forecast sales trends, analyze seasonality, and identify growth opportunities.Apply everything you learn through practical, real-world case studies and hands-on exercises with Julius AI.Why focus on AI-driven forecasting and market analysis? The ability to predict market dynamics and adapt to customer needs is a game-changer in today’s data-driven world. This course makes these advanced tools accessible, regardless of your technical background.Throughout the course, you’ll work on activities such as implementing regression models, analyzing customer churn, and segmenting customers using clustering—all with Julius AI, a tool designed to simplify predictive modeling for real-world applications.What makes this course unique? Our focus on practical applications means you’ll gain not only theoretical knowledge but also actionable skills to apply AI-driven solutions in your role. Plus, you’ll receive a certificate to showcase your expertise.Ready to elevate your sales strategies with the power of AI? Enroll now and take the first step toward transforming your business outcomes.

Overview

Section 1: Introduction

Lecture 1 Introduction and Course Resources

Lecture 2 Understanding the Role of Artificial Intelligence in Sales

Lecture 3 Introduction to Data Analytics

Lecture 4 Exploring Types of Predictive Models

Section 2: Predicting continuous data using Linear Regression

Lecture 5 Introduction to Linear Regression

Lecture 6 Conceptual Understanding of Linear Regression

Lecture 7 Linear regression Concept case study

Lecture 8 Understanding the Data for Linear Regression

Lecture 9 Meet Julius AI: Revolutionizing Predictive Modeling

Lecture 10 Hands-On: Implementing Linear Regression with Julius AI

Section 3: Predicting Categorical Data using Logistic Regression

Lecture 11 Customer Retention: Key Insights

Lecture 12 Introduction to Logistic Regression

Lecture 13 Decoding the Confusion Matrix: Understanding Model Accuracy

Lecture 14 Case Study: Logistic Regression for Customer Churn

Lecture 15 Hands On: Churn Prediction Using Julius AI

Section 4: Customer Segmentation using Clustering

Lecture 16 Introduction to K-Means Clustering

Lecture 17 Core Concepts: How K-Means Clustering Works

Lecture 18 Case Study: Clustering for Customer Segmentation

Lecture 19 Practical Implementation: Customer Clustering with Julius AI

Section 5: Sales Forecasting

Lecture 20 Introduction to Sales Forecasting

Lecture 21 Leveraging Trend and Seasonality Models for Accurate Forecasting

Lecture 22 AI-Powered Insights: Sales Forecasting Using Julius AI

Section 6: Conclusion

Lecture 23 About your certificate

Lecture 24 Bonus lecture

Sales professionals who want to improve forecasting accuracy and optimize sales strategies,Business analysts who aim to leverage AI for deeper market insights and customer segmentation,Marketing managers who need actionable insights to enhance customer retention and campaign effectiveness,Students or career changers aspiring to build skills in AI-driven analytics for sales and marketing roles