Global Academic Alliance

πŸ›οΈ Official Portal of the Deep Science and Technology Consortium | Global Academic Alliance
DSTC-A51 Online (e-LMS) Advanced Postgrad

Introduction to A/B Testing

by - DSTC

Master Introduction to A/B Testing in 4 weeks through hands-on, project-based online training with DSTC.

β˜…β˜…β˜…β˜…β˜… Be the first to review β€’ 4 Weeks Β· 40 hrs β€’ e-Certificate Included
Enroll Now
From β‚Ή200 + GST

Programme Parameters

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

About This Course

The Introduction to A/B Testing course is a free, beginner-friendly self-paced program designed to help learners understand how experiments are used to compare different versions of a product, webpage, campaign, or strategy. Every participant receives a verified e-Certificate and e-Marksheet from the Deep Science & Technology Consortium.

🎯 Program Aim

The Introduction to A/B Testing course is a free, beginner-friendly self-paced program designed to help learners understand how experiments are used to compare different versions of a product, webpage, campaign, or strategy.

πŸ“‹ Course Objectives

1. Translate Artificial Intelligence theory into practical, reproducible analysis.
2. Assemble a documented case study that evidences your applied capability.

πŸ‘₯ Who Should Enroll?

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

πŸš€ Key Learning Outcomes

β€’ Tangible, reproducible Artificial Intelligence work to show supervisors or employers.
β€’ A verified e-Certificate of competency and e-Marksheet from the Deep Science & Technology Consortium.

πŸ’Ž What You'll Gain

πŸŽ₯

Live & Recorded Sessions

Lifetime access to class recordings
πŸŽ“

e-Certificate on Completion

Cryptographically verified credential
πŸ’¬

Post-Programme Support

Direct access to mentors & council
πŸ’»

Hands-On Experience

Notebooks, real-world code & datasets

Curriculum Outline

Module 1 Outline

Introduction to A/B Testing

What is A/B Testing? β€’ Importance of Experimentation in Decision-Making β€’ Control Group vs Test Group β€’ Applications of A/B Testing

Module 2 Outline

Understanding Test Design

Creating Variations for Testing β€’ Selecting Metrics and Goals β€’ Understanding User Behavior Data β€’ Importance of Fair and Reliable Testing

Module 3 Outline

Running and Analyzing Tests

Collecting and Comparing Results β€’ Understanding Conversion and Engagement Metrics β€’ Basic Statistical Thinking in Testing β€’ Interpreting Test Outcomes

Module 4 Outline

Applications of A/B Testing

Website and App Optimization β€’ Marketing Campaign Testing β€’ Product and User Experience Improvements β€’ Business Decision-Making Through Experiments

Module 5 Outline

Future Scope and Next Steps

A/B Testing in Data Science and Analytics β€’ Role of AI in Experimentation β€’ Career Opportunities in Analytics and Product Testing β€’ Mini Learning Activity / Concept-Based Practice

Technical Specifications

ParameterRequirement
Covered Tool / PlatformA/B Testing
Covered Tool / PlatformExperimentation
Covered Tool / PlatformData Analysis
Covered Tool / PlatformConversion Metrics
Covered Tool / PlatformUser Behavior Analysis

Frequently Asked Questions

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

No. The course focuses on concepts and practical understanding.

You will learn how experiments are designed, how results are compared, and how A/B testing supports decision-making.

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

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

A/B testing is an experimentation method used to compare two versions of a product, webpage, campaign, or strategy to see which performs better.

A/B testing is commonly used in websites, mobile apps, marketing campaigns, product design, user experience improvement, and business optimization.

The Introduction to A/B Testing course is designed as a 2–3 week online self-paced course.

Yes. This course is useful for learners interested in marketing analytics, product testing, user behavior analysis, website optimization, and data-driven decision-making.

The course explains control groups, test groups, metrics, user behavior, conversion analysis, and result interpretation using simple examples without requiring prior technical or analytics experience. The Introduction to A/B Testing course provides a simple and structured foundation in experimentation and data-driven decision-making. It is an ideal starting point for learners interested in analytics, marketing optimization, product testing, and business intelligence.

Scholar Feedback & Reviews

5.0

Based on 0 scholar submissions

Rating Breakdown
5 Star
0
4 Star
0
3 Star
0
2 Star
0
1 Star
0

No verified reviews published yet. Be the first to share your academic experience.

Leave Scholar Feedback

Your rating will help prospective scholars. Ratings below 3 stars are routed privately to the faculty mentor for immediate response.

Scholar Registration

For scholars whose department, college or employer pays the fee. We raise a proforma invoice to your institution; you attach the signed processing letter or bank slip.

The proforma invoice is emailed here as well as to you.
πŸ“„ Upload Sponsorship Slip / Letter

Signed letter on official letterhead, or the bank transfer slip. PDF/JPG/PNG, up to 5 MB.

Share this Programme

Related Programmes from DSTC

DSTC-01512 Online

AI-Powered RNA-Seq Data Analysis Using R

by - DSTC

Differential Gene Expression Analysis of RNA Sequencing Data Using Machine Learning/AI in R is an intermediate-level, 3 Days (1.5 hours…

LEVEL Graduate / Intermediate
DURATION 3 Days
DSTC-00677 Online

Python for Biological Data Science: A Beginner’s Guide to Programming

by - DSTC

Python for Biological Data Science: A Beginner’s Guide to Programming Course is an Intermediate-level, 4 Weeks online program by DSTC.…

LEVEL Foundation
DURATION 4 Weeks
DSTC-01662 Online

R: Advanced Data Analytics for Life Sciences & Research Careers

by - DSTC

R: Advanced Data Analytics for Life Sciences & Research Careers is a beginner-level, 3 Days 1.5 hr/day online course by…

LEVEL Foundation
DURATION 3 Days