Digital data security – capturing, analysing, reporting and protecting data

Training process

Training needs analysis

If you have specific requirements regarding the training programme, we will carry out a training needs analysis for you. This will guide us on which aspects of the programme should receive greater emphasis, so that the training programme meets your specific needs.

What will you gain?

Effective data collection - You will learn how to locate relevant data sources, search efficiently, and import data safely, so you can start working with complete, organized material from the very beginning.

Reliable media preservation - You will learn how to clone and image storage media, choose suitable file formats, and create binary copies in a way that preserves data integrity and reduces the risk of loss.

Triage response skills - You will practice securing data with the Triage approach and making sound decisions under time pressure, when you need to quickly identify the most valuable digital sources and traces.

Handling cloud-based data - You will understand how to identify and preserve data stored in cloud services and how to include it in your analysis when information is spread across devices, platforms, and accounts.

Structured data analysis - You will learn how to prepare material for analysis, define a clear methodology, process collected data, and interpret findings correctly so your conclusions are reliable and useful.

Recovering hidden information - You will explore ways to recover both structured and unstructured data, increasing your chances of finding important information even when the source is damaged, incomplete, or complex.

Browser trace analysis - You will be able to examine cookies, browser file structures, and the impact of private mode, which will help you reconstruct user activity more accurately in web environments.

Reporting and data governance - You will learn how to build clear reports, present findings, and plan archiving, access control, and data quality practices so your results remain useful long after the analysis ends.

Training programme

1. Data – introduction

2. Obtaining digital data

where to get data from,
how to search,
how to import,
security.

3. Data securing

cloning and imaging of media,
post-mortem securing,
file formats,
binary copies – tools and software,
securing using the Triage method,
disk protections,
data in the cloud.

4. Data analysis

preparation for analysis,
determination of methodology,
processing,
interpretation.

5. Data recovery

with structure,
without structure.

6. Web browsers

cookies,
file structure,
private mode.

7. Data reporting

principles,
creating reports,
presentation.

8. Data storage and archiving

types of data carriers,
data archiving in organizations,
long-term data storage strategy,
protection against data loss.

9. Data access management

roles and permissions,
access control,
monitoring access to data,
identity management.

10. Data quality management

data validation and verification,
data cleaning,
master data management,
ensuring data integrity and consistency.

11. Training summary

What are the prerequisites for participating in the training?

Computer literacy - You should be comfortable working in an operating system, managing files and folders, and installing or launching basic tools used for handling and reviewing data.

Storage basics - You should understand the differences between disks, USB drives, and network resources so you can follow data sources more easily and secure them in a correct way.

Security fundamentals - You should know the basic rules of safe data handling, including access protection and caution when copying files, so you do not compromise data integrity.

Analytical thinking - You should be able to organize information, draw conclusions from data, and work step by step according to a procedure, because the training includes analysis and interpretation.