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DSTC-A50 Online (e-LMS) Advanced Postgrad

Regression Analysis with Python

by - DSTC

Master Regression Analysis with Python in 4 weeks through hands-on, project-based online training with DSTC.

★★★★★ Be the first to review • 4 Weeks · 40 hrs • e-Certificate Included
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From ₹200 + GST

Programme Parameters

Educational Level:
Advanced Postgrad
Duration & Workload:
4 Weeks (40 Hrs)
Delivery Mode:
Online (e-LMS)
Prerequisites:
• Prior working knowledge of the field and comfort with core tools and quantitative reasoning.
• A laptop or desktop with a stable internet connection.
• Willingness to complete assignments and the capstone project.

About This Course

The Regression Analysis with Python course is a free, beginner-friendly self-paced program designed to help learners understand how relationships between variables are analyzed and used for prediction using Python. Every participant receives a verified e-Certificate and e-Marksheet from the Deep Science & Technology Consortium.

🎯 Program Aim

The Regression Analysis with Python course is a free, beginner-friendly self-paced program designed to help learners understand how relationships between variables are analyzed and used for prediction using Python.

📋 Course Objectives

1. Translate Artificial Intelligence theory into practical, reproducible analysis.
2. Produce a reproducible, portfolio-ready project you can cite in a thesis, paper, or job application.

👥 Who Should Enroll?

• Master's and senior undergraduate students specializing in Artificial Intelligence
• R&D engineers and working professionals applying Artificial Intelligence in industry
• Academics and educators building research or teaching capacity in Artificial Intelligence

🚀 Key Learning Outcomes

• A portfolio-grade Artificial Intelligence deliverable you can defend and extend.
• 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

Introduction to Regression Analysis

What is Regression Analysis? • Importance of Prediction in Data Analysis • Types of Regression with Focus on Linear Concepts • Applications of Regression

Module 2 Outline

Understanding Variables and Data

Independent vs Dependent Variables • Understanding Relationships in Data • Basic Data Preparation Concepts • Visualizing Data Trends

Module 3 Outline

Linear Regression Basics

Introduction to Linear Models • Understanding Line of Best Fit • Basic Prediction Concepts • Interpreting Model Output

Module 4 Outline

Evaluating Regression Models

Understanding Accuracy and Error • Overfitting and Underfitting Basics • Interpreting Results in Real Context • Improving Model Performance

Module 5 Outline

Applications and Next Steps

Regression in Business, Finance, and Research • Using Regression for Forecasting • Career Path in Data Science and Analytics • Mini Learning Activity / Concept-Based Practice

Technical Specifications

ParameterRequirement
Covered Tool / PlatformPython
Covered Tool / PlatformRegression Analysis
Covered Tool / PlatformData Analysis
Covered Tool / PlatformPrediction Models
Covered Tool / PlatformData Visualization

Frequently Asked Questions

Yes. This is a free online self-paced course designed for beginners.

Basic Python knowledge is helpful but not required.

You will learn regression basics, prediction techniques, and how to analyze relationships in data.

Students, beginners, and professionals from any background can join.

Yes. Learners receive an e-Certification after completing the course.

Regression analysis is a data analysis method used to understand relationships between variables and make predictions based on those relationships.

Yes. The course is beginner-friendly and explains regression concepts in simple language with basic examples.

The Regression Analysis with Python course is designed as a 2–3 week online self-paced course.

Yes. Regression is one of the foundational techniques used in data science, analytics, forecasting, and machine learning.

The course explains variables, relationships, linear regression, prediction, error, and real-world applications in a simple way without requiring advanced mathematics or programming experience. The Regression Analysis with Python course provides a simple and structured introduction to understanding relationships in data and making predictions. It is an ideal starting point for learners who want to build a foundation in data science, analytics, and machine learning.

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