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
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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 →
RED-01 Mon - Fri (10 Days) USD 1,700 Reserve my seat → Register my team →
Training Date
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10 Days
USD 1,700
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Training Date
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10 Days
USD 1,700
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Training Date
to
8 Weeks
USD 1,700
RED-01
Reserve my seat
Training Date
to
10 Days
USD 1,700
RED-01
Reserve my seat
Training Date
to
10 Days
USD 1,700
RED-01
Reserve my seat
Training Date
to
8 Weeks
USD 1,700
RED-01
Reserve my seat
Training Date
to
10 Days
USD 1,700
RED-01
Reserve my seat

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 Sri Lanka

A country-aware view of the pressures, proof points, and practical tools that shape how this course applies locally.

Why this course matters in Sri Lanka

Strategic context for the risks, opportunities, and capability gaps this training addresses locally.

Retail and e-commerce analytics matters in Sri Lanka because the sector depends on tighter conversion, better inventory control, and more efficient use of first-party customer data as buying journeys move across websites, marketplaces, and physical stores. The course is especially relevant for retail operators, e-commerce teams, merchandising, marketing, and supply chain managers who need to turn transaction and customer-behavior data into pricing, promotion, and stock decisions. It helps leaders decide which products to promote, which customers to retain, and where stock or campaign spend is being wasted. Retail analytics is also directly tied to forecasting demand, reducing stockouts, and improving customer engagement through predictive and prescriptive analysis.

Customer and stock data must be joined

Sri Lankan retailers get more value when point-of-sale, website, inventory, and logistics data are analyzed together, because that combination supports both customer segmentation and stock planning rather than isolated reporting.

Predictive analytics is commercially useful

The most practical local use case is forecasting demand, churn, and campaign response so teams can reduce overstock, avoid stockouts, and focus promotions on profitable segments.

Marketing and operations need the same dashboards

Retail and e-commerce teams should share dashboards for conversion, attribution, margin, and inventory because the same analytics work supports promotion planning, replenishment, and revenue optimization.

The training is timely because retail and e-commerce operators are under pressure to improve efficiency while making decisions with fragmented customer journeys and growing reliance on digital channels. As analytics moves from descriptive reporting to prediction and action, companies that cannot connect customer, campaign, and inventory data face avoidable revenue leakage and stock management risk.

Tools and platforms relevant to this field

3

Field-relevant examples that may be featured in training where they support the confirmed scope. Exact coverage depends on participant needs and delivery format.

  • Power BI Microsoft
    Commonly used to build retail dashboards for sales, margin, campaign, and inventory monitoring.
  • Tableau Salesforce
    Used for visual analysis of customer segments, product performance, and omnichannel trends.
  • Google Analytics Google
    Used to track website traffic, conversion funnels, and digital campaign performance for e-commerce.

Where this course runs

Retail and E-commerce Data Analytics Training is delivered in the cities below — pick the one that fits your schedule.

Real Results from Real Professionals

Thousands of professionals have transformed their careers through our training programs. Now, it's your turn.

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Customize Training Duration

The standard duration for Retail and E-commerce Data Analytics Training is 10 Days. The options below are alternative durations with adjusted pricing.

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Barbours
Bank of Rwanda
RFA
Dahabshil Bank
Dorcas Aid
Finn Church Aid
KCB Foundation
Ministry of Education Saudi Arabia
NSSF Uganda
RBA
Reserve Bank of Malawi
WASREB Kenya
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