5 H Data Challenge Course - Scraping-Cleaning-Analysis

🌟 5H Data Challenge Course - Scraping, Cleaning, Analysis 🌟

Course Headline:

Master Data Extraction, Cleaning, and Analysis with Python and Advanced Tools

Course Description:

In this comprehensive course, we delve into the world of data by covering three pivotal areas: Data Extraction (Web Scraping), Data Cleaning, and Data Analysis.

The Journey Begins with Web Scraping:

We commence by scraping Real Estate Data from a diverse set of 10 different cities/states. This hands-on activity will not only familiarize you with the art of extracting data from the web but also encourage you to think critically about the sources and types of data you are collecting.

Merging and Cleaning Your Dataset:

Once we have amassed our raw data, the next step is to merge all these datasets into one cohesive unit. The ensuing data cleaning process will be performed using the powerful Pandas Library. We'll focus on making your data database-ready by modifying and manipulating it effectively.

Data Analysis and Insight:

With a cleaned dataset at our fingertips, we move on to Data Analysis. Here, we tackle 10 different questions using the collected and cleaned dataset. Leveraging Pandas Dataframe, PostgreSQL, and Matplotlib, you'll learn various approaches to answer real-life questions based on your own created dataset.

Knowledge and Experience:

Upon completion of this course, you will have gained valuable knowledge and practical experience in scraping your own data, creating datasets, cleaning the data, and conducting data analysis.

Course Resources:

Our course is designed with a comprehensive set of resources that you can refer to at any time. If you encounter a challenge or a concept that seems elusive, our active Q&A - Forum will be your go-to place for answers, whether from the instructor or fellow students.

What You’ll Learn:

• Web Scraping
• Proficiency in using Pandas and Beautiful Soup
• Techniques in Data Extraction for Data Science
• Data Mining methods
• Skills in Data Scraping & Data Cleaning
• Data Analysis with real-world applications
• Understanding and applying PostgreSQL

Course Requirements:

• A Basic understanding of Python Programming
• Familiarity with Beautiful Soup is helpful but not mandatory as it will be covered in the course

Who This Course Is For:

This course is designed for:

• Anyone passionate about Web Scraping and wanting to create their own datasets
• Professionals looking to become independent in creating their own datasets
• Data Enthusiasts eager to dive into Data Cleaning & Data Analysis

Disclaimer:

As your instructor, I teach web scraping for educational purposes only. It is crucial to remember that web scraping should always be performed ethically and responsibly, adhering to the terms of service of the websites you are accessing and respecting their robots.txt files. The well-being of websites is paramount, and our activities must not compromise their integrity or operations.

Let's embark on this data-driven adventure together and unlock the power of data! 📊🚀