Data Science

Introduction to Web Scraping with Python

Learn web scraping with Python using BeautifulSoup and Requests. Master HTML parsing, CSS selectors, handling pagination, dynamic content, ethical scraping, and building data pipelines.

Working with APIs: Getting Data from the Web

Learn how to work with APIs in Python for data science. Master HTTP requests, authentication, JSON parsing, pagination, rate limiting, and building robust API data pipelines.

Connecting to Databases from Python

Learn how to connect to databases from Python. Master SQLite, PostgreSQL, SQLAlchemy, pandas read_sql, connection pooling, security best practices, and writing results back.

SQL Basics for Data Scientists: Your First Queries

Learn SQL basics for data science. Master SELECT, WHERE, GROUP BY, JOIN, ORDER BY, and aggregate functions with clear examples and real-world data science use cases.

What is a Database? Introduction for Data Scientists

Learn what a database is and why data scientists need to understand them. Explore RDBMS, NoSQL, data warehouses, keys, indexes, and how databases fit into data science workflows.

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