Embedded Files
Main skills learnt and practiced in the course:
Main skills learnt and practiced in the course:
download, upload and clean data to use it profitably
organize data into easy-to-use personal database management systems
get impressive geographic maps to visualize suitable data
set up workflow management and automation between different apps
search for valuable data sources on the Internet
monitor changes in a webpage and receive notifications automatically
download data form the web and social media
extract information from documents and images
scrape and reverse engineer a competitor’s tariff
And all these results will be achieved without the help of IT specialists!
Content
Content
Tools, not just slideware.
This course is designed to provide a comprehensive understanding of the nature and relevance of Big Data to contemporary business contexts. It aims to equip participants with a practical understanding of various tools that are essential for effective Big Data management.
Students will be astonished by the substantial benefits they can attain with minimal effort by leveraging the capabilities of contemporary no-code platforms for database management and workflow automation, as well as generative AI tools.
Theory: Welcome to big data world
Theory: Welcome to big data world
Introduction, principles of data design, Privacy and GDPR
Big data characteristics, the power of data analytics, data cleansing
Data driven society, debate on social use of big data, geolocalization
From measurement to predictions, Big Data in insurance for pricing, underwriting and claims settling,
Data driven enterprises, workflow management
Data hunting on the web, Google, Wikipedia and social media, debate on the use of website scraping
Geographical and meteorological Information Systems, data provisioning and unconventional data sources, discovering new data lakes
Scraping a competitor insurance tariff, Captcha protection
Artificial Intelligence, Machine Learning, Deep Learning, Neural Networks, Natural Language Processing
Generative-AI foundation and use, prompting optimization, the future of Data Science, final considerations
Practice: hands on the digital toolbox
Practice: hands on the digital toolbox
Webpage tools: HTML basics, GoogleSites, GoogleMaps
Personal data management tools: GoogleDrive, GoogleSheet, Airtable, Awesome Tables
Worklfow Management tools: Airtable Automation, Make, Coupler.io
Data cleansing and extraction tools: Regular Expression(RegEx), XPath
Data scraping tools: Data Miner, Octoparse, Phantom Buster, Scrape Storm, AutoHotKey
A.I. tools: Vision AI, Teachable Machines, SImple ML for Sheets
GEN-AI tools: chapGPT, Anthropic, OpenRouter
Google Sites
Report abuse