To wersja testowa nowego serwisu infoShare Academy — wyświetlane treści i oferta nie są wiążące ani kompletne

Data

Analysis and Insights from Text Data

An advanced two-day practical workshop introducing you to Natural Language Processing (NLP) as a powerful analytical tool for business.

Duration
16h · 2 days
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Who it's for

Ideal for teams that…

1 Business analysts seeking to expand competencies in advanced data analysis
2 Business intelligence specialists interested in modern knowledge extraction methods
3 Product managers wanting to better understand analytical tools
4 Programmers aiming to learn practical business applications of NLP
5 Consultants and specialists from marketing, finance, and customer service sectors
Outcomes after the program

Hands-on AI and data analytics workshops — built around your team's real cases.

✓

Advanced text processing techniques with Python

✓

Implementing NLP models in business processes

✓

Automatic extraction of key information from documents

✓

Practical strategies for transforming text data into measurable business indicators

Program · 8 modules

What we actually do

Day 1: NLP Fundamentals and Data Preparation

M01
Module 1: Introduction to NLP in Business
  • · Key concepts of natural language processing
  • · Practical scenarios of NLP applications across industries
M02
Module 2: Setting Up the Programming Environment
  • · Configuring Python for NLP
  • · Installing and managing libraries: NLTK, spaCy, Gensim
  • · Configuring virtual environments
M03
Module 3: Text Data Preprocessing
  • · Techniques for text cleaning and normalization
  • · Tokenization, stopword removal, lemmatization
  • · Practical exercises transforming raw text data
M04
Module 4: Information Extraction
  • · Named Entity Recognition (NER)
  • · Identifying key phrases and relationships
  • · Practical business document extraction scenarios

Day 2: Advanced NLP Techniques

M05
Module 5: Advanced NLP Models
  • · Introduction to neural networks
  • · Transformers – architecture and applications
  • · Practical applications of BERT and GPT in business analysis
M06
Module 6: Text Classification
  • · Text classification algorithms
  • · Building ML models for document categorization
  • · Workshop: company document classification project
M07
Module 7: Sentiment Analysis
  • · Building basic sentiment models
  • · Customer opinion analysis in business contexts
  • · Workshop: sentiment analysis project for a selected industry
M08
Module 8: Final Project
  • · Independent creation of a mini NLP project
  • · Presentation of solutions
  • · Individual consultations and feedback
Every module is adapted to your stack and context. The above is a starting point — not a fixed agenda.
How we work

From brief to retro in 30 days.

01

Brief & diagnosis

A call with the team lead + a short survey for participants. We define goals, gap and context.

02

Program customization

We adapt modules, case studies and code examples to your stack. Approval in 5 days.

03

Workshop

Trainer-led sessions, hands-on, code review. Mentor available between sessions too.

04

Retro + report

Outcome report for the team and lead. 30 days of consulting included.

Inquiry

Send a brief. We'll reply within 1 day.

After a short brief we'll prepare a program and a quote. No obligations — it's just a starting point.

✓Quote within 48h of the brief
✓First session within 30 days
✓Pilot before the full decision
✓VAT invoice, payment in instalments possible

How we handle your data

We process your business data (name, work e-mail, phone number, company, job title) in order to handle your corporate training inquiry and prepare an offer. The data controller is infoShare Academy Sp. z o.o., Al. Grunwaldzka 472B, 80-309 Gdańsk. Providing the data is voluntary but necessary to receive a response. You have the right to access, rectify, erase or restrict the processing of your data and to object to it. Full information is available in our data processing notice.

Optional marketing consents

The controller of your personal data is infoShare Academy sp. z o.o. The rules for processing personal data are set out in the Privacy Policy and the Data Processing Notice.

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