Business Forecasting Techniques

📌 Online Self-Paced Course: Business Forecasting

📖 About this Course

• A comprehensive course on Business Forecasting covering statistical, machine learning, and simulation-based techniques.

• Learn to analyze time series data, predict trends, and optimize decision-making in business.

• Hands-on learning with Excel, Python, and @Risk software for real-world forecasting applications.

📌 Course Overview

• Covers classical forecasting methods, machine learning approaches, and risk analytics.

• Gain insights into time series components, regression, ARIMA modeling, and Monte Carlo simulations.

• Learn through expert video lectures, case studies, and practical applications.

📚 Course Curriculum / Modules

✅ Week 1: Introduction to Business Forecasting & Data-Driven Decision Making

✅ Week 2: Time Series Components & Moving Averages

✅ Week 3: Exponential Smoothing & Trend Analysis

✅ Week 4: Regression Models & Forecast Accuracy

✅ Week 5: Seasonality, Decomposition & Holt-Winters Method

✅ Week 6: ARIMA & Time Series Modeling

✅ Week 7: Machine Learning in Forecasting & Human Judgment

✅ Week 8: Monte Carlo Simulation & Predictive Analytics

🎯 What You Will Learn

✔️ Understand key forecasting techniques for business decision-making.

✔️ Use moving averages, exponential smoothing, regression, and ARIMA models.

✔️ Apply machine learning methods for demand prediction.

✔️ Learn risk analytics using Monte Carlo simulation.

✔️ Hands-on practice with Minitab, Python, and Excel.

🎯 Learning Objectives

🔹 Master time series analysis & forecasting models.

🔹 Apply predictive analytics in various industries.

🔹 Evaluate forecast accuracy and improve decision-making.

🔹 Use real-world case studies for business applications.

⭐ Course Features & Benefits

✅ 100% Online & Self-Paced – Learn at your own speed.

✅ Expert-Led Video Lectures – From top industry professionals.

✅ Hands-on Projects & Case Studies – Practical applications in business.

✅ Python & Excel-Based Forecasting – Real-world implementation.

✅ Lifetime Access & Updates – Stay up to date with industry trends.

👨‍🎓 Who This Course is For

• Business Analysts & Data Scientists looking to enhance forecasting skills.

• Finance & Supply Chain Professionals for demand planning & budgeting.

• MBA Students & Entrepreneurs who want data-driven decision-making skills.

• Anyone Interested in Predictive Analytics & Machine Learning.

🔑 Skills Covered

✅ Time Series Forecasting

✅ Regression Analysis

✅ ARIMA & Holt-Winters Method

✅ Machine Learning for Forecasting

✅ Monte Carlo Simulation

✅ Data Visualization & Predictive Modeling

🎁 Complimentary Benefits to Students for Enrolling Now

🎯 Exclusive E-books & Study Materials

🎯 Access to Python & Excel Forecasting Templates

🎯 Case Studies on Real-World Business Forecasting

🎯 Q&A Sessions with Industry Experts

🏆 Course Certificate Advantage

• Receive a globally recognized certificate.

• Enhance your resume & LinkedIn profile.

• Gain credibility in data analytics & forecasting job roles.

👨‍🏫 Instructor Bio

• Led by industry experts & experienced professionals in data analytics and business forecasting.

• Learn from academic faculty & corporate trainers with hands-on expertise.

📖 Books & References

📌 Business Forecasting – J. E. Hanke & D. Wichern

📌 Forecasting: Principles and Practice – Rob J. Hyndman & George Athanasopoulos

📌 Time Series Analysis and Its Applications – Robert H. Shumway

🏢 Top Indian Companies Hiring with These Certifications & Skillsets

• TCS, Infosys, Wipro, Accenture, Deloitte, EY (Data Analytics & Consulting)

• Amazon, Flipkart, Reliance, Tata Group (Retail & E-commerce)

• HDFC, ICICI, SBI, Axis Bank (Banking & Finance)

• Zomato, Swiggy, Uber, Ola (Demand Forecasting)

📢 Video Source Disclaimer

This course includes expert video lectures from Swayam Portal and other open education resources for authentic and high-quality learning.

This self-paced course is designed for professionals, students, and entrepreneurs who want to master business forecasting with real-world applications. 🚀