Advancing in Retail with Professional Certificate in Data Science in E-commerce: A UK Case Study
-- viewing nowAdvancing in Retail with Professional Certificate in Data Science in E-commerce: A UK Case Study This course is designed for retail professionals and aspiring data scientists who want to enhance their skills in e-commerce data analysis and drive business growth. Through this data science in e-commerce program, learners will gain hands-on experience in using data analytics tools and techniques to inform business decisions and improve customer engagement.
3,667+
Students enrolled
GBP £ 140
GBP £ 202
Save 44% with our special offer
About this course
By the end of this course, participants will be able to analyze and interpret data to drive business outcomes, develop data-driven strategies, and stay ahead in the competitive retail landscape.
Join our UK-based retail professionals and data science enthusiasts who have already benefited from this program. Explore further and discover how to advance your career in retail with a Professional Certificate in Data Science in E-commerce.
100% online
Learn from anywhere
Shareable certificate
Add to your LinkedIn profile
2 months to complete
at 2-3 hours a week
Start anytime
No waiting period
Course details
• Data Analysis and Visualization for E-commerce Decision Making: This unit focuses on using data science techniques to extract insights from e-commerce data, creating data visualizations to communicate findings, and applying statistical methods to inform business decisions.
• Machine Learning for Personalized Customer Experiences: In this unit, students learn how to apply machine learning algorithms to develop personalized product recommendations, customer segmentation, and targeted marketing campaigns to enhance customer engagement and loyalty.
• Predictive Analytics for Supply Chain Optimization: This unit covers the application of predictive analytics to optimize supply chain operations, including demand forecasting, inventory management, and logistics planning, to improve efficiency and reduce costs.
• E-commerce Data Mining and Warehousing: Students in this unit learn how to design and implement data warehouses, extract, transform, and load (ETL) processes, and data mining techniques to uncover hidden patterns and trends in e-commerce data.
• Customer Segmentation and Target Marketing: This unit focuses on using data science techniques to segment customers based on demographics, behavior, and preferences, and develop targeted marketing campaigns to increase sales and customer retention.
• E-commerce Data Visualization and Storytelling: In this unit, students learn how to create interactive and dynamic data visualizations to communicate complex e-commerce data insights to stakeholders, and develop effective data storytelling techniques to inform business decisions.
• Advanced Statistical Methods for E-commerce Analysis: This unit covers the application of advanced statistical methods, including regression analysis, time series analysis, and hypothesis testing, to analyze e-commerce data and inform business decisions.
• E-commerce Data Ethics and Governance: Students in this unit learn about the importance of data ethics and governance in e-commerce, including data privacy, security, and compliance with regulations such as GDPR.
• E-commerce Business Intelligence and Reporting: This unit focuses on using business intelligence tools and techniques to create reports, dashboards, and scorecards to monitor e-commerce performance, identify areas for improvement, and inform business decisions.
• Case Study: Applying Data Science to E-commerce Challenges in the UK: In this unit, students apply data science techniques to real-world e-commerce challenges in the UK, including analyzing customer behavior, optimizing supply chain operations, and developing targeted marketing campaigns.
Career path
**Advancing in Retail with Professional Certificate in Data Science in E-commerce: A UK Case Study**
**Career Roles and Statistics**
| Role | Job Market Trend | Salary Range (GBP) | Skill Demand |
|---|---|---|---|
| Data Scientist - Retail | High demand (40% growth rate) | £60,000 - £100,000 | Machine Learning, Data Visualization, SQL |
| E-commerce Analyst | Stable demand (10% growth rate) | £40,000 - £70,000 | Data Analysis, Statistical Modeling, Data Mining |
| Business Intelligence Developer | High demand (30% growth rate) | £50,000 - £90,000 | Database Development, Data Visualization, ETL |
| Marketing Data Scientist | High demand (50% growth rate) | £70,000 - £120,000 | Machine Learning, Data Visualization, Marketing Analytics |
Entry requirements
- Basic understanding of the subject matter
- Proficiency in English language
- Computer and internet access
- Basic computer skills
- Dedication to complete the course
No prior formal qualifications required. Course designed for accessibility.
Course status
This course provides practical knowledge and skills for professional development. It is:
- Not accredited by a recognized body
- Not regulated by an authorized institution
- Complementary to formal qualifications
You'll receive a certificate of completion upon successfully finishing the course.
Why people choose us for their career
Loading reviews...
Frequently Asked Questions
Debug: False
Skills you'll gain
Data Analysis
E-commerce Strategy
UK Retail Trends
Data Visualization
Course fee
MOST POPULAR
Fast Track
GBP £140
Complete in 1 month
Accelerated Learning Path
- 3-4 hours per week
- Early certificate delivery
- Open enrollment - start anytime
Standard Mode
GBP £90
Complete in 2 months
Flexible Learning Pace
- 2-3 hours per week
- Regular certificate delivery
- Open enrollment - start anytime
What's included in both plans:
- Full course access
- Digital certificate
- Course materials
All-Inclusive Pricing • No hidden fees or additional costs
Get course information
Earn a career certificate
ADVANCING IN RETAIL WITH PROFESSIONAL CERTIFICATE IN DATA SCIENCE IN E-COMMERCE: A UK CASE STUDY
is awarded to
Learner Name
who has completed a programme at
London School of International Business (LSIB)
Awarded on
05 May 2025
Blockchain Id: s-1-a-2-m-3-p-4-l-5-e
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
