Virtual Training Research, Data Analytics, and Business Intelligence

Mobile Data Collection using the EpiCollect Online Course

Join our virtual, live instructor-led session and master Mobile Data Collection using the EpiCollect Training from anywhere in the world.

5 Days Duration
Live Online Delivery
12 Dates Available
Certificate Included
Master mobile data collection to design robust digital surveys, streamline field operations, and generate high-quality spatial datasets using the EpiCollect5 framework.

Upcoming Virtual Training Schedules

Join from anywhere in the world with our live instructor-led sessions

Code Start Date End Date Duration Fee
MDE-03 Mon - Fri (5 Days) USD 1,050 Reserve my seat → Register my team →
MDE-03 Mon - Fri (5 Days) USD 1,050 Reserve my seat → Register my team →
MDE-03 Mon - Fri (5 Days) USD 1,050 Reserve my seat → Register my team →
MDE-03 Mon - Fri (5 Days) USD 1,050 Reserve my seat → Register my team →
MDE-03 Mon - Fri (5 Days) USD 1,050 Reserve my seat → Register my team →
MDE-03 Mon - Fri (5 Days) USD 1,050 Reserve my seat → Register my team →
MDE-03 Mon - Fri (5 Days) USD 1,050 Reserve my seat → Register my team →
MDE-03 Mon - Fri (5 Days) USD 1,050 Reserve my seat → Register my team →
MDE-03 Mon - Fri (5 Days) USD 1,050 Reserve my seat → Register my team →
MDE-03 Mon - Fri (5 Days) USD 1,050 Reserve my seat → Register my team →
MDE-03 Mon - Fri (5 Days) USD 1,050 Reserve my seat → Register my team →
MDE-03 Mon - Fri (5 Days) USD 1,050 Reserve my seat → Register my team →
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USD 1,050
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USD 1,050
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USD 1,050
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5 Days
USD 1,050
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USD 1,050
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USD 1,050
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Here's What You'll Learn

Each module tackles real challenges you face in your role

1

Foundations of Mobile Data Collection

2

Advanced Form Design and Logic

3

Geospatial and Multimedia Integration

4

Field Deployment and Team Management

5

Data Security and Quality Assurance

6

Data Export and External Integration

7

Strategy, Reporting, and Scaling

Market-specific guidance for Congo, The Democratic Republic of the

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

Why this course matters in Congo, The Democratic Republic of the

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

Mobile data collection matters in the Democratic Republic of the Congo because field teams often need to capture high-volume survey, monitoring, and health data in places where connectivity is uneven and paper workflows slow down reporting. EpiCollect-based training is especially relevant for NGOs, public health teams, researchers, and M&E units that need cleaner datasets, faster turnaround, and geotagged evidence for decision-making. For leaders, this course helps determine whether field operations can move from manual compilation to more reliable, near-real-time data capture and review. It is most useful where programme quality, donor reporting, and geographically dispersed operations depend on consistent data standards.

Offline-first fieldwork

Teams working outside major urban centres can still collect structured data offline and sync later, reducing disruption where network coverage is inconsistent.

Better donor and M&E reporting

Digital forms and centralised exports help programme teams shorten the time between field visits and indicator reporting, which is valuable for externally funded projects that require timely evidence.

Cleaner geospatial evidence

Because EpiCollect supports GPS and media capture, organisations can document where observations were made, which strengthens supervision, verification, and spatial analysis for field programmes.

This training is timely because organisations in the DRC increasingly need faster, cleaner field data for health, humanitarian, research, and development work while operating across difficult geography and variable connectivity. As more teams shift from paper to digital workflows, the main risk is not collection volume but data integrity, delay, and weak traceability unless staff are trained on form design, offline capture, and synchronisation.

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.

  • Epicollect5 CGPS Team, Oxford University Big Data Institute
    Used for mobile and web-based field data collection, including offline capture, GPS evidence, and centralised project management.
  • Google Maps Google
    Used to visualise geotagged submissions and review field locations during quality checks.
  • Google Earth Google
    Used to inspect spatial patterns and validate the geographic context of collected records.

Where this course runs

Mobile Data Collection using the EpiCollect 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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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
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Dahabshil Bank
Dorcas Aid
Finn Church Aid
KCB Foundation
Ministry of Education Saudi Arabia
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Reserve Bank of Malawi
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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