Real-Life Impact: Professional Certificate in Data Science in E-commerce Alumni Stories from the UK
-- viewing nowData Science in E-commerce Unlock the power of data-driven decision making in e-commerce with our Professional Certificate in Data Science. Learn from real-life impact stories of alumni who have successfully applied data science in e-commerce roles in the UK.
2,856+
Students enrolled
GBP £ 140
GBP £ 202
Save 44% with our special offer
About this course
Discover how to:
Extract insights from large datasets
Develop predictive models for customer behavior
Inform business strategy with data-driven recommendations
Join our community of data science professionals and explore the real-life impact of data science in e-commerce.
Read the inspiring stories of our alumni and learn how you can make a real-life impact in the e-commerce industry.
Explore the Professional Certificate in Data Science in E-commerce and start your journey to becoming a data-driven e-commerce professional today!
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 Storytelling for Business Insights: This unit helps alumni develop the skills to effectively communicate complex data insights to stakeholders, enabling them to make informed business decisions.
• E-commerce Data Analysis: In this unit, alumni learn to extract valuable insights from e-commerce data, including customer behavior, market trends, and sales performance, to drive business growth.
• Machine Learning for Predictive Analytics: This unit focuses on applying machine learning techniques to e-commerce data, enabling alumni to build predictive models that forecast customer behavior, sales, and other key metrics.
• Data Visualization for E-commerce: Alumni in this program learn to create interactive and informative data visualizations that help e-commerce businesses communicate complex data insights to stakeholders, drive business decisions, and improve customer engagement.
• E-commerce Data Mining: This unit teaches alumni how to extract valuable insights from large datasets, including customer demographics, purchase history, and browsing behavior, to inform e-commerce business strategies.
• Statistical Modeling for E-commerce: In this unit, alumni learn to apply statistical models to e-commerce data, enabling them to analyze customer behavior, forecast sales, and optimize marketing campaigns.
• Data Ethics and Governance: This unit focuses on the importance of data ethics and governance in e-commerce, teaching alumni how to ensure data quality, security, and compliance with regulations.
• E-commerce Data Management: Alumni in this program learn to design, implement, and maintain data management systems that support e-commerce business operations, including data warehousing, data integration, and data quality.
• Advanced Data Science for E-commerce: This unit applies advanced data science techniques, including natural language processing, computer vision, and deep learning, to e-commerce data, enabling alumni to develop innovative solutions to complex business problems.
• Business Acumen for Data-Driven Decision Making: In this unit, alumni learn to apply data-driven decision making to e-commerce business operations, including strategic planning, financial analysis, and performance measurement.
• E-commerce Data Analysis: In this unit, alumni learn to extract valuable insights from e-commerce data, including customer behavior, market trends, and sales performance, to drive business growth.
• Machine Learning for Predictive Analytics: This unit focuses on applying machine learning techniques to e-commerce data, enabling alumni to build predictive models that forecast customer behavior, sales, and other key metrics.
• Data Visualization for E-commerce: Alumni in this program learn to create interactive and informative data visualizations that help e-commerce businesses communicate complex data insights to stakeholders, drive business decisions, and improve customer engagement.
• E-commerce Data Mining: This unit teaches alumni how to extract valuable insights from large datasets, including customer demographics, purchase history, and browsing behavior, to inform e-commerce business strategies.
• Statistical Modeling for E-commerce: In this unit, alumni learn to apply statistical models to e-commerce data, enabling them to analyze customer behavior, forecast sales, and optimize marketing campaigns.
• Data Ethics and Governance: This unit focuses on the importance of data ethics and governance in e-commerce, teaching alumni how to ensure data quality, security, and compliance with regulations.
• E-commerce Data Management: Alumni in this program learn to design, implement, and maintain data management systems that support e-commerce business operations, including data warehousing, data integration, and data quality.
• Advanced Data Science for E-commerce: This unit applies advanced data science techniques, including natural language processing, computer vision, and deep learning, to e-commerce data, enabling alumni to develop innovative solutions to complex business problems.
• Business Acumen for Data-Driven Decision Making: In this unit, alumni learn to apply data-driven decision making to e-commerce business operations, including strategic planning, financial analysis, and performance measurement.
Career path
| Data Scientist | Collects and analyzes large data sets to inform business decisions and drive growth in e-commerce. |
| Business Analyst | Uses data analysis and business acumen to identify opportunities and implement solutions that drive revenue growth. |
| Data Analyst | Extracts insights from data to inform business decisions and optimize e-commerce operations. |
| Machine Learning Engineer | Develops and deploys machine learning models to improve e-commerce operations and customer experiences. |
| Data Engineer | Designs and implements data pipelines and architectures to support e-commerce data analytics and machine learning. |
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
Data Visualization
Predictive Modeling
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
REAL-LIFE IMPACT: PROFESSIONAL CERTIFICATE IN DATA SCIENCE IN E-COMMERCE ALUMNI STORIES FROM THE UK
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.
