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Technologies / Data & Analytics

Visual analytics in Data Science

The training focuses on the practical aspects of creating effective data visualizations in the context of Data Science. Participants will learn advanced techniques and tools for creating interactive visualizations to help analyze and present data. The program combines theory and practice, enabling them to gain the skills to design effective visual presentations. Classes are conducted in the form of workshops using real data sets.

Issues

  • Theory of data visualization

  • Dashboard design

  • Interactive visualizations

  • Storytelling with data

  • Visualization libraries

  • Performance optimization

  • UX in data visualization

  • Data animations

  • Multidimensional visualizations

  • Analysis of visualization effectiveness

  • Accessibility and responsiveness

  • Integration with BI systems

Benefits

  • The participant will gain the ability to create effective data visualizations for different audiences
  • He or she will learn how to select appropriate types of charts and presentation forms for different types of data
  • Will learn techniques for creating interactive dashboards and reports
  • Will be able to use advanced data visualization tools
  • Will gain knowledge of best practices in visualization design
  • Will learn how to effectively communicate analysis results through visualizations

Who is this training for?

Data Analysts and Data Scientists
Business Intelligence Specialists
Business analysts
Data visualization experts
Reporting specialists
Analytical project managers
Data analysis consultants
Researchers and scientists working with data

Prerequisites

  • Basic knowledge of statistics
  • Experience in data analysis
  • Knowledge of basic programming
  • Understanding business processes

Training program

01

Theory of data visualization

  • Types of charts and their use
  • Dashboard design
  • Effective visual communication
02

Visualization tools

  • Python libraries for visualization
  • Business Intelligence Platforms
  • Interactive tools
  • Integration with various data sources
  • Interactive visualizations
03

Data animations

  • Multidimensional visualizations
  • Storytelling with data
04

Best practices

  • Designing for the user
  • Performance optimization
  • Availability of visualization
  • Effectiveness testing

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?

For Visual analytics in Data Science we recommend: Basic knowledge of statistics; Experience in data analysis; Knowledge of basic programming.

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 and Data Scientists; Business Intelligence Specialists; Business analysts.

Monika Fengler
Monika Fengler 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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Trusted by

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

Interested in this training?

Contact us - we'll prepare an offer tailored to your organization's needs.

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