Technologies / Data & Analytics

Data Cleaning - Techniques and Best Practices

Intensive training dedicated to data cleaning techniques and best practices. Participants learn systematic approach to identifying, fixing, and preventing data quality problems. The program focuses on practical workshops using various tools and methods, allowing immediate application of acquired knowledge in daily work.

Why choose this training?

In today’s rapidly evolving IT landscape, technical competencies have become a critical asset. Intensive training dedicated to data cleaning techniques and best practices. Participants learn systematic approach to identifying, fixing, and preventing data quality problems.

Upon completion, participants will be able to: Ability to identify data problems, Knowledge of data cleaning techniques, Ability to automate cleaning processes, Ability to implement quality controls. These competencies directly translate into higher effectiveness in IT projects.

This training is particularly valuable for: Data analysts working with raw data, Data engineers responsible for ETL, Data quality specialists.

What makes our approach unique?

At EITT, we focus on learning by doing — every training includes extensive practical components. Over 1 day of intensive training, participants work on real-world examples and scenarios, ensuring not only theoretical understanding but practical application skills.

With over 2,500 trainings in our portfolio and a 4.8/5 participant rating, EITT is a trusted partner in IT competency development for organizations of all sizes. Our trainers are experienced practitioners who share up-to-date knowledge and proven solutions.

Looking for training tailored to your team’s needs? Contact us — we’ll prepare a program customized to your requirements.

Benefits

Ability to identify data problems
Knowledge of data cleaning techniques
Ability to automate cleaning processes
Ability to implement quality controls
Knowledge of data quality standards
Knowledge of data cleaning tools
Ability to document processes
Certificate confirming competencies

Who is this training for?

Data analysts working with raw data

Data engineers responsible for ETL

Data quality specialists

Data Scientists preparing data for analysis

Those responsible for data preparation

Business analysts working with data

BI specialists ensuring data quality

ETL developers

Prerequisites

Basic knowledge of working with data
Experience in data analysis
Knowledge of SQL basics
Understanding of business processes

Training program

Problem identification
Cleaning strategies

Data cleaning techniques
Standardization and normalization
Record deduplication
Missing value handling
Validation and correction

Creating cleaning workflows

Documenting changes

Implementation and maintenance
Implementation in ETL processes
Ensuring repeatability

Continuous improvement

Delivery Methods

Online

Convenience of participating from anywhere
Interactive live sessions with trainer
Materials available for 30 days
No travel costs

On-site

Direct contact with trainer and group
Intensive hands-on workshops
Networking with other participants
Full focus on learning

Training Topics

Frequently asked questions

What are the prerequisites for this training?

For Data Cleaning - Techniques and Best Practices we recommend: Basic knowledge of working with data; Experience in data analysis; Knowledge of SQL basics.

What is the format and duration of this training?

The training lasts 1 day and is available in online and on-site format. Sessions run from 9:00 AM to 4:00 PM. We can also customize the schedule to fit your team's needs.

Who is this training designed for?

This training is designed for: Data analysts working with raw data; Data engineers responsible for ETL; Data quality specialists.