Practical Outcomes of E-commerce Analytics Certification in the UK Job Market
-- viewing nowE-commerce Analytics is a highly sought-after skill in the UK job market, driving business growth and success. With the rise of online shopping, companies need professionals who can collect, analyze, and interpret data to inform strategic decisions.
6,312+
Students enrolled
GBP £ 140
GBP £ 202
Save 44% with our special offer
About this course
Our E-commerce Analytics Certification program equips learners with the skills to:
• Collect and analyze large datasets
• Develop and implement data-driven marketing strategies
• Measure and optimize website performance
• Stay up-to-date with industry trends and tools
By mastering e-commerce analytics, you'll be in high demand across various industries, from retail to finance.
Take the first step towards a rewarding career in e-commerce analytics. Explore our certification program today and unlock your potential.
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 for E-commerce Performance Metrics: This unit covers the essential data analysis techniques for e-commerce performance metrics, including key performance indicators (KPIs) such as conversion rates, average order value, and customer lifetime value.
• Customer Segmentation and Profiling: This unit focuses on customer segmentation and profiling techniques, including clustering, decision trees, and propensity scoring, to help e-commerce businesses understand their target audience and tailor their marketing strategies.
• Predictive Modeling for Demand Forecasting: This unit covers the application of predictive modeling techniques, including regression, decision trees, and neural networks, to forecast demand and optimize inventory management in e-commerce.
• A/B Testing and Experimentation: This unit covers the principles and best practices of A/B testing and experimentation, including hypothesis testing, statistical significance, and sample size calculation, to help e-commerce businesses optimize their website and marketing campaigns.
• E-commerce Data Visualization: This unit focuses on data visualization techniques, including dashboards, reports, and storytelling, to help e-commerce businesses communicate complex data insights to stakeholders and inform business decisions.
• Sentiment Analysis and Text Mining: This unit covers the application of sentiment analysis and text mining techniques, including natural language processing (NLP) and machine learning algorithms, to analyze customer feedback and reviews in e-commerce.
• E-commerce Customer Journey Mapping: This unit focuses on customer journey mapping techniques, including user experience (UX) design and customer experience (CX) analysis, to help e-commerce businesses understand their customers' needs and preferences.
• E-commerce Personalization and Recommendation Systems: This unit covers the application of personalization and recommendation systems, including collaborative filtering and content-based filtering, to help e-commerce businesses offer tailored product recommendations to their customers.
• E-commerce Supply Chain Optimization: This unit focuses on supply chain optimization techniques, including inventory management, logistics, and transportation, to help e-commerce businesses reduce costs and improve delivery times.
• E-commerce Return and Refund Analysis: This unit covers the application of return and refund analysis techniques, including statistical modeling and machine learning algorithms, to help e-commerce businesses identify trends and patterns in customer returns and refunds.
Career path
| E-commerce Analyst | £35,000 - £50,000 per annum | Responsible for analyzing e-commerce data to inform business decisions and optimize online sales. |
| Digital Marketing Specialist | £30,000 - £45,000 per annum | Develops and implements digital marketing strategies to drive website traffic and conversions. |
| Data Scientist | £60,000 - £90,000 per annum | Applies advanced statistical and machine learning techniques to extract insights from large datasets. |
| Business Intelligence Developer | £40,000 - £60,000 per annum | Designs and develops business intelligence solutions to support data-driven decision making. |
| Marketing Automation Specialist | £30,000 - £45,000 per annum | Configures and optimizes marketing automation systems to streamline lead generation and conversion. |
| E-commerce Manager | £50,000 - £70,000 per annum | Oversees the development and execution of e-commerce strategies to drive revenue growth and customer engagement. |
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
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
PRACTICAL OUTCOMES OF E-COMMERCE ANALYTICS CERTIFICATION IN THE UK JOB MARKET
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.
