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AI210: Introduction to Data Extraction and Data Preparation

Training: Artificial Intelligence

Developers and IT professionals learn modern methods of data extraction and preparation. The course addresses AI-driven automation of repetitive tasks as well as the processing of multimodal data from text, images, audio, and video. The training is complemented by the use of Machine Learning, NLP, and image processing, as well as practice-oriented exercises for efficient data analysis.

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Possible course languages: German

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Would you like to request an appointment? Then click on 'No matching appointment?'

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Agenda:

1. Introduction to data extraction

Overview of data sources (text files, databases, websites, PDFs, Word documents)
Basic techniques and tools for data extraction

2. Data preparation and cleansing

Methods for data cleansing and transformation
Handling missing values and data quality

3. AI-driven automation

Application of Artificial Intelligence for task automation
Practical examples for the use of machine learning algorithms

4. Multimodal data processing

Processing of text, images, videos and audio
Utilization of NLP (Natural Language Processing) and image processing techniques

Objectives:

Extract data from various sources, prepare and cleanse data, process text files, read data from databases, scrape websites, extract data from additional formats.

Target audience:

Developers
IT Professionals

Prerequisites:

AI200 Introduction to Python for Data Science and AI (alternatively basic knowledge in Python)

Description:

This workshop AI210 Introduction to Data Extraction and Data Preparation provides an introduction to the most important techniques of data extraction and preparation. It is targeted at developers, IT professionals and anyone who wants to learn how to efficiently extract and prepare data to make it usable for further analysis. The course combines theoretical content with practical exercises and covers the following topics:

1. AI-powered Automation
Discover how Artificial Intelligence revolutionizes the automation of repetitive tasks in data processing. Learn the deployment of AI tools to accomplish tasks such as data extraction, cleansing and analysis faster and more precisely. Through practical examples you will understand how you can increase efficiency and minimize errors with machine learning algorithms.

2. Multimodal Data Processing
In today's world, data is no longer only text-based. This course teaches handling multimodal data that encompasses text, images, videos and audio. You will learn to apply techniques for processing different data types, including the utilization of NLP (Natural Language Processing) for texts and image processing techniques for visual content. This will enable you to analyze and evaluate complex data scenarios more comprehensively.
The course is targeted at participants who have a basic understanding of data processing and want to expand their skills in the area of modern data extraction and preparation. No special prior knowledge is required, however basic programming skills are advantageous.