For Malawi-based retailers, CLV and RFM analysis help identify the highest-value customers so promotions can be targeted where they are most likely to improve repeat purchase and margin, rather than spread broadly across low-return segments.
Virtual Training
Data Science, AI, and Advanced Analytics
Retail and E-commerce Data Analytics Online Course
Join our virtual, live instructor-led session and master Retail and E-commerce Data Analytics Training from anywhere in the world.
10 Days
Duration
Live Online
Delivery
7 Dates
Available
Certificate
Included
Master Retail and E-commerce Data Analytics to optimize customer segmentation, forecast inventory demand, and drive omnichannel revenue through data-driven decision-making.
Upcoming Virtual Training Schedules
Join from anywhere in the world with our live instructor-led sessions
| Code | Start Date | End Date | Duration | Fee | |
|---|---|---|---|---|---|
| RED-01 | Mon - Fri (10 Days) | USD 1,700 | Reserve my seat → Register my team → | ||
| RED-01 | Mon - Fri (10 Days) | USD 1,700 | Reserve my seat → Register my team → | ||
| RED-01 | Weekend (8 Weeks) | USD 1,700 | Reserve my seat → Register my team → | ||
| RED-01 | Mon - Fri (10 Days) | USD 1,700 | Reserve my seat → Register my team → | ||
| RED-01 | Mon - Fri (10 Days) | USD 1,700 | Reserve my seat → Register my team → | ||
| RED-01 | Weekend (8 Weeks) | USD 1,700 | Reserve my seat → Register my team → |
Here's What You'll Learn
Each module tackles real challenges you face in your role
1
Retail Analytics Foundations and KPI Architecture
2
Customer Analytics and RFM Modeling
3
Product and Merchandising Analytics
4
Inventory and Supply Chain Optimization
5
Digital Marketing Analytics and Attribution
6
Pricing Strategy and Promotion Analytics
7
Omnichannel Integration and Attribution
8
AI and Machine Learning in Retail
9
Data Visualization and Executive Storytelling
10
Strategy, Governance, and Implementation
Market-specific guidance for Malawi
A country-aware view of the pressures, proof points, and practical tools that shape how this course applies locally.
Tools and platforms relevant to this field
4Field-relevant examples that may be featured in training where they support the confirmed scope. Exact coverage depends on participant needs and delivery format.
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Microsoft Power BI MicrosoftRetail and e-commerce teams use it to build dashboards for sales, stock, customer segmentation, and channel performance.
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Google Analytics GoogleE-commerce teams use it to track traffic sources, conversion funnels, product performance, and campaign attribution on websites.
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Meta Ads Manager MetaDigital teams use it to measure paid social campaigns, audience performance, and return on ad spend.
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Shopify ShopifyOnline retailers use it to manage storefront data, orders, product performance, and customer purchase history.
Where this course runs
Retail and E-commerce Data Analytics Training is delivered in the cities below — pick the one that fits your schedule.
