Welcome to my coding data analytics bootcamp journey! This repository showcases my completed homework assignments from various topics covered during the bootcamp. Below, you'll find a list of topics, each with a link to relevant documentation or resources. Feel free to explore and see what I've learned and accomplished in each area.
- Excel Documentation - Explore Microsoft Excel documentation to learn more about spreadsheet data analysis and formulas.
- MongoDB Documentation - Access MongoDB documentation to understand NoSQL database management and data operations.
- Python Documentation - Dive into Python's official documentation to master the Python programming language.
- Python Web Scraping Guide - Follow Real Python's web scraping guide to learn about web scraping with Python and Beautiful Soup.
- VBA Documentation - Refer to Microsoft's VBA documentation to explore Visual Basic for Applications in Excel.
- D3.js Documentation - Explore the official D3.js documentation to create interactive data visualizations in JavaScript.
- Pandas Documentation - Learn about data manipulation and analysis using Pandas with the official Pandas documentation.
- Python Requests Documentation - Master API requests and data retrieval in Python using the Python Requests library.
- SQL Documentation - Dive into MySQL documentation to understand SQL queries, database management, and more.
- Leaflet Documentation - Explore Leaflet's documentation for creating interactive maps in JavaScript.
- Pandas Visualization Guide - Learn about data visualization using Pandas with the official Pandas documentation.
- ETL Process Overview - Understand the ETL (Extract, Transform, Load) process by exploring the Wikipedia page.
- SQLAlchemy Documentation - Dive into SQLAlchemy's documentation for Python-based database interactions and Flask web applications.
- scikit-learn Documentation - Explore the official documentation for scikit-learn to understand how to use this machine learning library effectively.
Feel free to click on the provided links to access relevant documentation and resources for each topic. I'm excited to continue learning and growing in the world of coding and data analytics!