AI for Analysts Training: From Data to Decisions

Catalogue index: IFS/13

  • In stock
  • Delivery: free
  • Dedicated training:
  • Producer:
  • Training level:
    • Podstawowy
  • 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:
  • Podstawowy
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 "AI for Analysts: From Data to Decisions" is a two-day intensive course focusing on the practical use of AI technology in business analysis. The program is designed for participants to learn how to transform data into valuable insights and decisions using artificial intelligence tools.

Who the Training is For
  • for business analysts
  • for data specialists
  • for product managers
  • for anyone interested in using AI for analyzing and interpreting business data
  • for individuals with a basic knowledge of Python
Goals
Benefits
  • Applying AI for data analysis and interpretation
  • Building and deploying predictive models
  • Using data visualization to present insights
  • Solving real business problems using AI
Training Program

  • DAY 1: BASICS OF AI AND DATA PROCESSING
     • Introduction to AI and overview of the tool ecosystem
      • Introduction to AI and basic concepts
      • Overview of tools and programming languages used in AI
     • Data preparation and cleaning
      • Data processing and cleaning techniques using pandas and numpy
      • Basics of exploratory analysis and data visualization

  • DAY 2: PRACTICAL APPLICATION OF AI IN BUSINESS ANALYSIS
     • Building predictive models
      • Introduction to regression and classification models
      • Practical workshops on building models using scikit-learn
     • Case study: solving a real business problem using AI
      • Case analysis and identification of problems that can be solved with AI
      • Group work on solving a selected business problem, presentation of results
      • Discussion and Q&A session

Duration

16 h/2 days

Price Includes

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