Explore iSchool’s comprehensive articles on data science, IT, and library science, covering topics like data analytics, machine learning, and AI.
How does AI work? A plain guide to the 5 steps, from data and training to neural networks and outputs, with real examples and an honest look at limits.
Learn large language models step by step: prerequisites, transformers, prompting, fine-tuning, RAG, projects, and the resources and degrees that build LLM skills.
Is information science a good major? See who it fits, the jobs and salaries it leads to, how it compares to computer science, and if it is truly worth it.
What does an AI research scientist do? A clear look at the role, daily work, skills, education path, salary outlook, and how it differs from an ML specialist.
What does an application architect do? A clear look at the role, daily responsibilities, skills, salary outlook, and how it differs from a solution architect.
Explore artificial intelligence jobs, from ML professionals to AI ethicist, with what each role does, the skills and degrees it needs, and salary outlook.
Learn how to become a statistician with a clear five-step path covering education, skills, master's degree requirements, salary, and career outlook.
Information systems vs. computer science compared on focus, skills, daily work, education, and salary — with guidance on which path fits.
The future of data analytics is being reshaped by AI co-pilots, real-time data, lakehouse architectures, and governance pressure. See the 7 trends and what they mean.
The essential data management skills for modern roles, from SQL and data governance to data quality and cloud platforms, with examples and a learning path.