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DSTC-00247 Online (e-LMS) Foundation

Forecasting Basics (No ML): Trend + Scenario

by - DSTC

Forecast with trends and scenarios — no machine learning needed.

★★★★★ Be the first to review • 3 Weeks · 30 hrs • e-Certificate Included
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From ₹100 + GST

Programme Parameters

Educational Level:
Foundation
Duration & Workload:
3 Weeks (30 Hrs)
Delivery Mode:
Online (e-LMS)
Prerequisites:
• No prior experience required — basic computer literacy is sufficient.
• A laptop or desktop with a stable internet connection.
• Willingness to complete assignments and the capstone project.

About This Course

Forecasting Basics (No ML): Trend + Scenario is a practical, accessible course for anyone who needs to forecast without building models. You learn transparent, defensible methods — reading and projecting trends, understanding seasonality, and using scenario analysis to plan for a range of futures under uncertainty. The course shows that good judgement and simple methods often forecast well, and when they suffice. You finish able to produce sound forecasts using trend and scenario techniques. A verified e-Certificate of competency and e-Marksheet from the Deep Science & Technology Consortium.

🎯 Program Aim

This course covers forecasting basics without ML — using trend analysis and scenario thinking to make sound forecasts with simple, transparent methods.

📋 Course Objectives

1. Read and project trends.
2. Account for seasonality and cycles.
3. Build scenario-based forecasts.
4. Plan for a range of futures.
5. Judge when simple methods suffice.

👥 Who Should Enroll?

• Managers and business professionals
• Analysts and planners
• Non-technical forecasters
• Students of business forecasting

🚀 Key Learning Outcomes

• The ability to forecast without ML.
• A transparent, defensible approach.
• A trend-and-scenario toolkit.
• A verified e-Certificate of competency and e-Marksheet from the Deep Science & Technology Consortium.

💎 What You'll Gain

🎥

Live & Recorded Sessions

Lifetime access to class recordings
🎓

e-Certificate on Completion

Cryptographically verified credential
💬

Post-Programme Support

Direct access to mentors & council
💻

Hands-On Experience

Notebooks, real-world code & datasets

Curriculum Outline

Module 1 Outline

AI Fundamentals, Mathematics, and Forecasting (No Ml) Trend + Scenario Foundations

Implement Basics with Education for practical ai fundamentals, mathematics, and forecasting (no ml) trend + scenario foundations applications and outcomes. • Design Forecasting with Trend for practical ai fundamentals, mathematics, and forecasting (no ml) trend + scenario foundations applications and outcomes. • Analyze Basics with Education for practical ai fundamentals, mathematics, and forecasting (no ml) trend + scenario foundations applications and outcomes.

Module 2 Outline

Data Engineering, Preprocessing, and Feature Pipelines

Implement Basics with Education for practical data engineering, preprocessing, and feature pipelines applications and outcomes. • Design Forecasting with Trend for practical data engineering, preprocessing, and feature pipelines applications and outcomes. • Analyze Basics with Education for practical data engineering, preprocessing, and feature pipelines applications and outcomes.

Module 3 Outline

Model Architecture, Algorithm Design, and Forecasting (No Ml) Trend + Scenario Methods

Implement Basics with Education for practical model architecture, algorithm design, and forecasting (no ml) trend + scenario methods applications and outcomes. • Design Forecasting with Trend for practical model architecture, algorithm design, and forecasting (no ml) trend + scenario methods applications and outcomes. • Analyze Basics with Education for practical model architecture, algorithm design, and forecasting (no ml) trend + scenario methods applications and outcomes.

Module 4 Outline

Training, Hyperparameter Optimization, and Evaluation

Implement Basics with Education for practical training, hyperparameter optimization, and evaluation applications and outcomes. Gain hands-on experience and produce real-world projects. • Design Forecasting with Trend for practical training, hyperparameter optimization, and evaluation applications and outcomes. Gain hands-on experience and produce real-world projects. • Analyze Basics with Education for practical training, hyperparameter optimization, and evaluation applications and outcomes. Gain hands-on experience and produce real-world projects.

Module 5 Outline

Deployment, MLOps, and Production Workflows

Implement Basics with Education for practical deployment, mlops, and production workflows applications and outcomes. Gain hands-on experience and produce real-world projects. • Design Forecasting with Trend for practical deployment, mlops, and production workflows applications and outcomes. Gain hands-on experience and produce real-world projects. • Analyze Basics with Education for practical deployment, mlops, and production workflows applications and outcomes. Gain hands-on experience and produce real-world projects.

Module 6 Outline

Ethics, Bias Mitigation, and Responsible AI Practices

Implement Basics with Education for practical ethics, bias mitigation, and responsible ai practices applications and outcomes. • Design Forecasting with Trend for practical ethics, bias mitigation, and responsible ai practices applications and outcomes. • Analyze Basics with Education for practical ethics, bias mitigation, and responsible ai practices applications and outcomes.

Module 7 Outline

Industry Integration, Business Applications, and Case Studies

Implement Basics with Education for practical industry integration, business applications, and case studies applications and outcomes. • Design Forecasting with Trend for practical industry integration, business applications, and case studies applications and outcomes. • Analyze Basics with Education for practical industry integration, business applications, and case studies applications and outcomes.

Module 8 Outline

Advanced Research, Emerging Trends, and Forecasting (No Ml) Trend + Scenario Innovations

Implement Basics with Education for practical advanced research, emerging trends, and forecasting (no ml) trend + scenario innovations applications and outcomes. • Design Forecasting with Trend for practical advanced research, emerging trends, and forecasting (no ml) trend + scenario innovations applications and outcomes. • Analyze Basics with Education for practical advanced research, emerging trends, and forecasting (no ml) trend + scenario innovations applications and outcomes.

Module 9 Outline

Capstone: End-to-End Forecasting (No Ml) Trend + Scenario AI Solution

Implement Basics with Education for practical capstone: end-to-end forecasting (no ml) trend + scenario ai solution applications and outcomes. • Design Forecasting with Trend for practical capstone: end-to-end forecasting (no ml) trend + scenario ai solution applications and outcomes. • Analyze Basics with Education for practical capstone: end-to-end forecasting (no ml) trend + scenario ai solution applications and outcomes.

Technical Specifications

ParameterRequirement
Covered Tool / PlatformForecasting
Covered Tool / PlatformTrend

Frequently Asked Questions

The Forecasting Basics (No ML): Trend + Scenario course from DSTC teaches fundamental forecasting techniques without using machine learning. You will learn how to analyze historical data, identify trends and seasonality, apply moving averages, exponential smoothing, decomposition methods, and create scenario-based forecasts. The course focuses on practical business forecasting for demand, sales, revenue, and resource planning using simple, transparent, and reliable statistical methods that are easy to explain to stakeholders.

Yes, the DSTC Forecasting Basics (No ML): Trend + Scenario course is perfect for beginners. It requires no prior knowledge of statistics or programming. The course starts with basic concepts of time series data and builds step-by-step to practical forecasting methods, using clear explanations and simple Excel/Python examples.

In 2026, accurate forecasting remains essential for business planning in India across sales, supply chain, finance, and operations. This course gives you reliable, non-ML forecasting skills that are easy to understand, implement, and communicate — especially useful when ML models are overkill or when stakeholders prefer transparent methods.

Completing the DSTC Forecasting Basics (No ML): Trend + Scenario course strengthens your profile for roles such as Business Analyst, Demand Planner, Sales Forecaster, Operations Analyst, and Junior Data Analyst. These skills are highly valued in retail, manufacturing, FMCG, logistics, and finance companies across India.

You will learn trend analysis, seasonality detection, moving average methods, exponential smoothing, time series decomposition, scenario planning, and basic forecasting in Excel and Python. The course includes code examples, practical exercises, and project showcases focused on real business forecasting situations.

Unlike ML-heavy forecasting courses on Coursera or Udemy, this DSTC program focuses purely on classical, no-ML methods with strong emphasis on trend, seasonality, and scenario planning. It is beginner-friendly, practical, and ideal for business users who need transparent and explainable forecasting techniques.

The Forecasting Basics (No ML): Trend + Scenario course is a concise 3-week online program with a flexible, self-paced modular format. It includes video lessons, simple code/Excel examples, practical exercises, and real-world forecasting projects, allowing working professionals to learn conveniently from anywhere in India.

Upon successful completion, you receive an official e-Certification and e-Marksheet from DSTC DSTC. This recognized Forecasting Basics (No ML) certification validates your skills in classical forecasting methods and can be added to your LinkedIn profile and resume for better career opportunities.

Yes, the course includes hands-on projects such as forecasting sales trends, analyzing seasonality in demand data, creating multiple scenarios for business planning, and building repeatable forecasting workflows. These practical exercises help you gain confidence and create usable forecasting models.

The DSTC Forecasting Basics (No ML): Trend + Scenario course is designed to be easy and approachable. With simple explanations, step-by-step methods, and no requirement for advanced math or machine learning, most learners find it straightforward, practical, and immediately applicable to their work.

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