Intelligent Data Analysis: Modern AI Tools in Practice Training

Catalogue index: IFS/29

  • In stock
  • Delivery: free
  • Dedicated training:
  • Producer:
  • Training level:
    • Średniozaawansowany
  • Type of training:
    • stacjonarnie; online
PLN993.33 net / particip. PLN14,899.95  net for 1 workshop PLN1,221.80 gross incl. 23% VAT / particip.

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Features

Features
Certification:
  • TAK
Dedicated training:
Number of training hours:
  • 16
Producer:
Training language:
  • polski
Training level:
  • Średniozaawansowany
Type of training:
  • stacjonarnie; online

Description

Company Description

Infoshare is the largest tech community in CEE and the organizer of the leading tech conference in Gdańsk. It connects startups, investors, corporations, and innovation enthusiasts. It promotes entrepreneurship, knowledge sharing, and networking. Through events, competitions, and programs, it supports the development of the tech ecosystem in Poland and the region.

Training Description

The training "Intelligent Data Analysis: Modern AI Tools in Practice" is an intensive two-day course that enables participants to acquire practical skills in data analysis using advanced AI tools. The course combines theory with practice, emphasizing real-world applications of artificial intelligence in data analysis, allowing for optimization of decision-making processes and increased business efficiency.

Who the Training is For
  • Data analysts and business intelligence specialists
  • IT specialists and programmers interested in AI and data analysis
  • Managers and project leaders looking to implement artificial intelligence in analyses within their organizations
Goals
Benefits
  • How to prepare and explore data for analysis using AI tools
  • How to automate analytical processes using artificial intelligence
  • How to implement basic and advanced AI models for data analysis
  • How to create interactive reports and dashboards presenting AI analysis results
Training Program

  • DAY 1: INTRODUCTION TO AI AND BASIC DATA ANALYSIS TECHNIQUES
     • Basics of artificial intelligence
     • Discussion of key concepts and techniques of artificial intelligence
     • Overview of AI tools and libraries

    •  DATA PREPARATION FOR ANALYSIS WITH AI
       • Data cleaning and transformation techniques
       • Introduction to exploratory data analysis (EDA)

    •  WORKSHOP: DATA PREPARATION AND EXPLORATION
       • Practical exercises in data cleaning and transformation
       • Use of EDA tools for data analysis

    •  BASIC AI MODELS IN DATA ANALYSIS
       • Implementation of regression and classification models
       • Evaluation and interpretation of model results

  • DAY 2: ADVANCED AI TECHNIQUES AND APPLICATIONS IN DATA ANALYSIS
     • Integration of advanced AI models
     • Implementation of deep learning models
     • Application of neural networks for data analysis

    •  AUTOMATION OF ANALYSES WITH AI
       • Creating automated analytical processes
       • Integration of AI tools with data analysis systems

    •  WORKSHOP: ADVANCED AI MODELS
       • Practical exercises in deploying and testing AI models

Duration

16 h/2 days

Price Includes

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