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
See Training Dates Download Full Course Brochure
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
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
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 Hungary

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

Why this course matters in Hungary

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

Retail and e-commerce analytics matters in Hungary because commercial growth increasingly depends on knowing which products, channels, and customers actually create profit, not just traffic or gross sales. For retailers, marketplaces, and omnichannel brands, the practical value is in linking customer, basket, inventory, and campaign data so teams can improve assortment, reduce stock risk, and spend acquisition budget more efficiently. This course is especially relevant to e-commerce managers, retail analysts, merchandising teams, and digital marketing leaders who need to make faster decisions from fragmented first-party data. It helps leaders move from descriptive reporting to decisions on customer retention, pricing, promotion, and stock allocation.

First-party data is becoming more valuable

In a cookieless environment, Hungarian retailers and e-commerce teams need stronger first-party data collection and activation to keep targeting and measurement working across web, app, email, and loyalty channels.

Profitability depends on customer segmentation

Frameworks such as CLV and RFM are useful where acquisition costs are rising, because they help teams distinguish high-value repeat buyers from one-time discount shoppers and allocate spend more precisely.

Inventory and demand visibility are commercial advantages

Predictive analytics for stockouts, replenishment, and demand shifts is directly relevant to Hungarian retailers that must balance working capital with service levels across stores and online channels.

The training is timely because retail and e-commerce teams are under pressure to improve measurement quality as tracking becomes less reliable and customers move across more digital touchpoints. In Hungary, that makes data-driven merchandising, attribution, and retention capability more important for both margin control and growth.

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.

  • Microsoft Power BI Microsoft
    Used to build retail dashboards, monitor sales and inventory performance, and share omnichannel KPIs with commercial teams.
  • Google Analytics Google
    Used to analyse web and app traffic, campaign performance, conversion paths, and customer behaviour on e-commerce sites.
  • Tableau Salesforce
    Used for interactive retail reporting and visual analysis of product, customer, and channel performance.

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.

View All Reviews

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.

Looking for the standard 10 Days schedule? Use the button below.
Standard Duration (10 Days)
Or register with selected alternative:
Reserve my seat Register my team

Trusted by 100+ organizations across 40+ countries

Premier Bank
Amnesty International
UNDT SACCO
UNFPA
USAID
AMREF Health Africa
KENTRADE
CPF
UFIA
UNICEF
Central Bank of Kenya
UNDP
GIZ
Premier Bank
Amnesty International
UNDT SACCO
UNFPA
USAID
AMREF Health Africa
KENTRADE
CPF
UFIA
UNICEF
Central Bank of Kenya
UNDP
GIZ
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
Virginia Commonwealth University
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
Virginia Commonwealth University