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Data Science in the Library

Tools and Strategies for Supporting Data-Driven Research and Instruction

PART 1: DATA SCIENCE AND RESEARCH LIBRARIES – PERSPECTIVES; Sustainability and Success Models for Informal Data Science Training within Libraries; The Fundación Juan March DataLab: A Data Science Unit within a Research Support Library; PART 2: DATA SCIENCE INSTRUCTION; Toward Reproducibility: Academic Libraries and Open Science; Start with Data Science; PART 3: DATA SCIENCE SERVICES; In Support of Data-Intensive Science at the University of Washington; From a Data Archive to Data Science: Supporting Current Research; PART 4: DESIGNING AND STAFFING DATA SCIENCE; In-House Training as the First Step to Becoming a Data Savvy Librarian; Designing for Data Science: Planning for Library Data Services

PTLIP Practical Tips for Library and Information Professionals

Practical Tips for Successful Library Management

Use this step-by-step guide to prepare, design and implement a simplified data governance programme built to meet the needs of your organization. Prepare, design and implement a data governance framework that works for your organization with this practical guide to harnessing data successfully.

Design a Framework that Works for Your Organization

Effective Data Governance

Discover the AI and data skills you'll need and develop your confidence to succeed in the digital age.

Gain the Confidence You Need to Succeed

Data and AI Skills

Cut through the hype with this essential guide for any business professional looking to improve their organization's efficiency through technology.

Use Technology to Improve Your Business

The Practical Guide to Digital Transformation

Learn to build a web app that can monitor millions of posts across all social media platforms to chart public opinion in real time. Social media has become our modern-day agora, the place where we get our news and engage in political discourse. With disinformation, hate speech, foreign interference, authoritarianism, market monopolization, and political polarization all on the rise, monitoring social media in the public interest has never been so difficult nor so urgent. Social Media Observatory is an in-depth beginner’s guide to coding full-stack web applications in Python to track and analyze social media activity at scale, giving you unparalleled insights into the cultural and political conversations of our time, then empowering you to reach your own conclusions. You’ll start by coding a web app to monitor Russian disinformation channels discussing Ukraine on Telegram, then learn more adversarial methods to scrape the Wayback Machine, Instagram, and TikTok. You’ll detect Twitter bots following Saudi influencers, extract text-embedded URLs to reveal a white supremacist blogosphere, parse archived tweets to reveal the discourse leading up to the January 6 insurrection, and learn to circumvent Meta's and ByteDance's defenses to scrape Instagram and TikTok, collecting evidence of war crimes in the Middle East. Finally, you’ll write an API and deploy your observatory to a cloud server to collaborate with other investigators. By the end of the book, you’ll have a working website that allows collaborators to log in, request data collection, and perform analysis of collected data, via a point-and-click interface.&nbsp; Along the way, you’ll learn to: <ul><li>Use Python and RabbitMQ to retrieve Telegram data from a remote API</li><li>Store data with PostgreSQL and query it with SQLAlchemy</li><li>Analyze the data you’ve retrieved with Pandas, NetworkX, Gephi, and other tools</li><li>Use state-of-the-art AI tools to transcribe audio and classify text</li><li>Deploy a website with an interactive dashboard using FastAPI, Dash, Cytoscape, Uvicorn, Gunicorn, Nginx, AWS, and Let’s Encrypt</li><li>Containerize your apps with Docker and provision infrastructure with Pulumi</li></ul> Whether you’re a citizen scientist, a security researcher, a journalist, an activist, or a scholar, Social Media Observatory is an essential blueprint for building your window into online worlds.

Social Media Observatory

Develop your market research skills with this straightforward guide to the best practices in user research methods. Utilize market research tools and methods effectively to obtain reliable results.

Improve Product and Service Design and Enhance Your UX Research

User Research

Data-Directed Mathematical Modeling

Increase efficiency, improve profitability and reduce spend and become more confident handling and analyzing customer data for further insight.

Data Science in the Library

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