upgrad-logo

  • For working professionals

  • For fresh graduates

  • Study abroad

  • More

Free Courses
View All
View All
View All
View All
View All
View All
View All
View All
View All
View All
View All
View All
View All
View All
View All
View All
View All
View All
View All
View All
View All
View All
View All
View All
View All
View All

Free Certificate

Data Science in E-commerce

Master data science for e-commerce success! Learn recommendation systems, price optimization, market mix modeling, and A/B testing to drive sales and enhance customer experience.

13 hours of learning

Data Analysis

Searching/Sorting

A/B Testing

For enquiries call:
18002102020
Data Science in E-commerce

KEY HIGHLIGHTS

What You Will Learn

Recommendation Systems

Learn about recommendation systems, their types, and their challenges. Then, implement one in R to recommend movies from a database.

Topics Covered:

  • Content-Based Filtering – Recommend products based on user preferences and past behavior.
  • User-Based Collaborative Filtering – Suggest items by analyzing similar users’ behaviors.
  • Item-Based Collaborative Filtering – Find recommendations by comparing item similarities.
  • Recommender System in Python – Implement recommendation algorithms using Python.

Price Markup & Markdown

Explore business cases on price markup/markdown, learn their reasons, and use a markup/markdown framework.

Topics Covered:

  • Understanding Price Markup & Markdown – Learn how pricing adjustments impact revenue.
  • Why They Are Done – Discover the strategic reasons behind price changes.
  • Effects of Price Markup & Markdown – Analyze how pricing shifts influence sales and profits.

The Four Force Model

Analyzing demand elasticity, competition, internal economics, and category dynamics can help determine optimal product pricing using the Four Forces Model.

Topics Covered:

  • The Four Forces of Price Optimization – Understand key factors affecting pricing strategies.
  • Demand Elasticity – Measure how price changes impact consumer demand.
  • Competitive Benchmark – Compare pricing with competitors to stay competitive.
  • Internal Economics – Evaluate business costs and profitability in pricing decisions.
  • Category Dynamics – Assess market trends and product positioning for pricing.

Factors that Impact Sales

Learn how Marketing Mix Modeling (MMM) uses regression to optimize marketing for maximum sales and profit growth.

Topics Covered:

  • What is MMM and Why It Is Important – Use regression to analyze marketing effectiveness.
  • How Advertising Impacts Revenue – Evaluate the influence of ad spending on sales.
  • How Pricing and Promotion Impact Revenue – Understand the effect of discounts and pricing strategies.
  • How Product Assortment Impacts Revenue – Optimize product offerings to drive sales.

Modeling the Impact of KPIs

Use regression models to predict and optimize marketing impact on sales and profitability.

Topics Covered:

  • Basic Linear Model – Establish relationships between marketing inputs and revenue.
  • Multiplicative Model – Measure non-linear impacts of marketing efforts.
  • Exponential Attraction and Multinomial Logit Model – Assess customer preferences using advanced models.
  • Koyck and Distributed Lag Model – Analyze long-term effects of marketing decisions.
  • Hierarchical Model – Understand complex interactions between marketing variables.

A/B Testing

Use A/B testing to make data-driven decisions and optimize web pages and marketing strategies.

Topics Covered:

  • Analyzing the Data – Interpret test results to measure effectiveness.
  • Forming a Hypothesis – Define key assumptions before conducting experiments.
  • Constructing the Experiment – Design and implement A/B tests for optimization.
  • Interpreting the Result – Draw actionable insights from A/B testing outcomes.

Data Science for E-Commerce Certification

Earn and Share Your Certificate

Official & Verifiable

Receive a signed and verifiable e-certificate from upGrad upon successfully completing the course.

Share Your Achievement

Post your certificate on LinkedIn or add it your resume! You can even share it on Instagram or Twitter.

Stand Out to Recruiters

Use your certificate to enhance your professional credibility and stand out among your peers!

image

How a Data Science for E-Commerce Program Can Accelerate Your Career?

Whether you're new to the field or an experienced professional, the Data Science for E-Commerce training is designed to equip you with the essential skills to thrive in the digital retail world. You'll learn how to analyze customer behavior, fine-tune pricing strategies, and deliver highly personalized shopping experiences—all to drive real business growth. 

Key benefits:

✅ Gain Industry-Relevant Skills: Master core concepts like Data Analysis, Searching & Sorting Algorithms, and A/B Testing, essential tools for any data-driven e-commerce strategy.

✅ Hands-On, Practical Training: Apply your knowledge through real-world case studies, interactive classes, and projects that simulate actual e-commerce challenges. This data science for e-commerce training ensures you're job-ready from day one.

✅ Build a Strong Foundation: Perfect for beginners and career switchers, this course lays the groundwork for a successful career in data science for e-commerce, whether you're a student, entrepreneur, or aspiring data analyst.

✅ Boost Your Resume & LinkedIn Profile: Earn a data science for e-commerce certification that adds credibility to your profile and showcases your commitment to continuous learning.

✅ Master Data-Driven E-Commerce Strategies: Learn how to use data for inventory management, marketing optimization, fraud detection, and personalized customer experience.

✅ Flexible & 100% Online: Learn at your own pace with this data science for e-commerce online course, designed to fit your schedule.

Who Should Enroll in Data Science for E-Commerce Course?

This Data Science for E-Commerce course is designed for anyone looking to leverage data to optimize e-commerce operations, enhance customer experiences, and drive business growth. Whether you are a student, working professional, entrepreneur, or aspiring data scientist, this Data Science for E-Commerce online program provides you with essential skills to succeed in the digital marketplace.

This course is ideal for:

✅ Students & Fresh Graduates – Kickstart your career with a free Data Science for E-Commerce course, gaining hands-on knowledge in analytics, pricing strategies, and recommendation systems.

✅ E-Commerce Professionals & Analysts – Strengthen your expertise with Data Science for E-Commerce training, learning to optimize marketing campaigns, improve user experience, and analyze key business metrics.

✅ Business Owners & Entrepreneurs – Use data-driven strategies to enhance sales, personalize customer experiences, and refine pricing models with this Data Science for E-Commerce online program.

✅ Marketing & Sales Professionals – Master customer segmentation, ad performance tracking, and demand forecasting with an industry-focused Data Science for E-Commerce online certification.

✅ Aspiring Data Scientists & Engineers – Build strong foundational skills in machine learning, A/B testing, and predictive analytics through structured Data Science for E-Commerce classes.

✅ Corporate Managers & Decision-Makers – Learn how to interpret business data, optimize inventory, and reduce fraud risks by applying concepts from the Data Science for E-Commerce syllabus.

What makes the Data Science for E-Commerce Course with upGrad Different?

While many courses focus on general data science, this Data Science for E-Commerce program is uniquely designed for the fast-growing e-commerce sector. It provides hands-on training, real-world case studies, and expert-led lessons tailored to help you apply data science for e-commerce in business strategies, customer analytics, and revenue optimization.

How we compare to other platforms:

Feature

upGrad (This Course)

Other Platforms

Course Fee

✅ Data Science for E-Commerce free course – No hidden costs!

❌ Paid courses with limited free access

Lifetime Access

✅ Yes, access course materials anytime to refine your skills

❌ Limited or No Lifetime Access

Certification

✅ Earn a Data Science for E-Commerce certification online upon completion

❌ Certification often requires additional payment

Comprehensive Learning

✅ Covers the Data Science for E-Commerce syllabus, from analytics to pricing strategies

❌ Mostly theoretical content with minimal industry applications

Practical & Hands-On Training

✅ Includes real-world projects, case studies, and interactive sessions

❌ Limited hands-on experience or outdated content

Beginner-Friendly & Advanced Content

✅ Ideal for students, professionals, and business owners

❌ Often requires prior technical experience

Free vs. Paid Courses: What Sets Them Apart?

Maximize Your Learning Experience

Free Course
Paid Course
Access to Online Learning
right-icon
right-icon
Certificate at Completion
right-icon
right-icon
Live Learning & Instructor Assistance
close-icon
right-icon
Recruitment Services
close-icon
right-icon
Referral Benefits
close-icon
right-icon
View More Courses

Frequently Asked Questions

Ready to start learning and advance your skills?

upGrad Learner Support

Talk to our experts. We are available 7 days a week, 9 AM to 12 AM (midnight)

text

Indian Nationals

1800 210 2020

text

Foreign Nationals

+918068792934