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Technologies / Data & Analytics

MongoDB for Data Analysts

This training is designed for data analysts who want to effectively use MongoDB in their daily work. During classes, participants learn advanced data manipulation techniques in the MongoDB environment, with special emphasis on aggregation and data analysis. The program combines practical workshops with essential theory, enabling independent creation of complex queries and analyses. Classes are conducted in the form of intensive workshops where each concept is immediately verified in practice.

Required Participant Preparation

  • Basic knowledge of databases and query language

  • Experience in working with data and analysis

  • Knowledge of basic data processing concepts

  • Basic statistics knowledge

Benefits

  • Upon completing the training, participants will be able to independently design and implement advanced analytical queries in MongoDB
  • They will gain the ability to create efficient aggregation pipelines tailored to specific business needs
  • They will develop competencies in query optimization and data modeling for analytical purposes
  • They will learn practical aspects of integrating MongoDB with popular data analysis tools
  • They will learn to effectively process and analyze large datasets in the MongoDB environment
  • They will be able to create advanced reports and visualizations based on MongoDB data
  • They will gain knowledge enabling independent resolution of complex analytical problems

Who is this training for?

Data analysts working with large datasets
Business Intelligence specialists starting to work with MongoDB
Data Scientists needing effective data processing tools
Business analysts wanting to expand their competencies with NoSQL
Reporting and analysis department employees
Data visualization specialists
Professionals responsible for creating reports and dashboards

Training program

01

MongoDB architecture and basic concepts

  • Differences between SQL and NoSQL databases in the context of data analysis
  • Data modeling for analytical needs
  • Schema optimization for query performance
  • Advanced Queries and Aggregations
02

MongoDB aggregation framework

  • Creating complex aggregation pipelines
  • Aggregation operators for advanced analyses
  • Aggregation performance optimization
  • Data Analysis and Transformation
  • Data processing techniques in MongoDB
03

Using statistical operators

  • Data grouping and categorization
  • Working with nested data and arrays
  • Integration with Analytical Tools
04

Data export to analytical tools

  • Integration with popular analytical libraries
  • Creating reports and visualizations
  • Automating analytical processes

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

Frequently asked questions

What are the prerequisites for this training?

The MongoDB for Data Analysts training does not require specialized prior knowledge. Basic IT knowledge is sufficient.

What is the format and duration of this training?

The training lasts 2 days 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 large datasets; Business Intelligence specialists starting to work with MongoDB; Data Scientists needing effective data processing tools.

Bożena Machowska-Worek
Bożena Machowska-Worek Opiekun szkolenia

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Funding Options

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Up to 80%

Development Services Database

Up to 80% funding for SMEs from EU funds

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Up to 100%

National Training Fund

Up to 100% funding for employers

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We train teams at Poland's largest companies

ING Bank - EITT client
mBank - EITT client
PKO Bank Polski - EITT client
PZU - EITT client
Allianz - EITT client
T-Mobile - EITT client
KGHM - EITT client
PGE - EITT client
IKEA - EITT client
InPost - EITT client
Leroy Merlin - EITT client
ZUS - EITT client

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