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Assignments completed during ASU Data Analytics Bootcamp

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Coding Data Analytics Bootcamp Homework

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

  • Excel Documentation - Explore Microsoft Excel documentation to learn more about spreadsheet data analysis and formulas.

NoSQL MongoDB

  • MongoDB Documentation - Access MongoDB documentation to understand NoSQL database management and data operations.

Python

  • Python Documentation - Dive into Python's official documentation to master the Python programming language.

Python Web Scraping

  • Python Web Scraping Guide - Follow Real Python's web scraping guide to learn about web scraping with Python and Beautiful Soup.

VBA

  • VBA Documentation - Refer to Microsoft's VBA documentation to explore Visual Basic for Applications in Excel.

JavaScript D3

  • D3.js Documentation - Explore the official D3.js documentation to create interactive data visualizations in JavaScript.

Pandas

  • Pandas Documentation - Learn about data manipulation and analysis using Pandas with the official Pandas documentation.

Python API

SQL

  • SQL Documentation - Dive into MySQL documentation to understand SQL queries, database management, and more.

JavaScript Leaflet

Pandas Data Visualization

Python ETL (Extract, Transform, Load)

  • ETL Process Overview - Understand the ETL (Extract, Transform, Load) process by exploring the Wikipedia page.

SQLAlchemy Flask

  • SQLAlchemy Documentation - Dive into SQLAlchemy's documentation for Python-based database interactions and Flask web applications.

scikit-learn

  • 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!

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