Understand how data moves through modern systems, no code required. Learn ETL vs ELT, cloud storage with Amazon S3, AWS Glue basics, data validation, and pipeline monitoring, plus how AI tools help you design, explain, and document pipelines.
3 módulos • 7 aulas
Already know basic Python? Build one real thing end to end: a small AI data app that loads a dataset, sends a slice of it to a language model, and turns the response into a written analysis. You will use pandas only as much as the app needs, call an LLM API directly (no agents, no frameworks), wire the pieces into a single script with real error handling, and ship it as a shareable Streamlit app you can run locally. A project-based intermediate course with a free certificate of completion.
Learn to analyze data using AI without writing code. Master uploading spreadsheets to ChatGPT and Claude, asking the right questions, finding patterns, creating reports, visualizing data, and cleaning messy datasets.
Master the fundamentals of Amazon Web Services (AWS). Learn about cloud computing basics, core AWS services including EC2, S3, RDS, and Lambda, security best practices, and cost management. Perfect for developers, IT professionals, and anyone starting their cloud journey.
Learn how to use AI tools to transform your work as a data analyst. Discover practical techniques for SQL generation, data cleaning, building dashboards, and communicating insights. No extra coding required.
Learn to clean messy data using AI without writing any code. Spot data problems, fix inconsistent text, handle missing values and duplicates, reformat columns, and build a reusable cleaning workflow with ChatGPT and Claude.
Learn to analyze financial data using Python. Master NumPy, Pandas, data visualization, portfolio analytics, technical analysis, financial modeling, and statistical analysis. Build real-world projects including an automated investment research system.