Enroll Course: https://www.udemy.com/course/python-scraping-application/
Are you looking to move beyond basic web scraping and build functional, deployable web applications? The Udemy course ‘PythonによるWebスクレイピング 〜Webアプリケーション編〜’ (Web Scraping with Python ~Web Application Edition~) by Kikagaku, the creators of a highly popular introductory web scraping course, is an excellent next step.
This course picks up where the introductory version left off, focusing on the practical application of scraped data. Instead of just collecting information, you’ll learn how to transform it into interactive visualizations and deploy them as live web applications. This is precisely what’s needed in real-world data projects – the ability to not only gather data but also to present it effectively and make it accessible.
**What You’ll Learn:**
* **Dash for Visualization:** Master the creation of visualization applications using Dash, a powerful Python framework.
* **Data Collection with BeautifulSoup:** Refine your data scraping skills using BeautifulSoup.
* **Integrated Applications:** Combine scraping techniques with visualization to build dynamic applications.
* **Database Integration:** Learn to incorporate databases into your visualization applications for more robust data management.
* **Web Deployment with Heroku:** Get your applications online by deploying them on Heroku.
* **Automated Scraping:** Set up mechanisms for regularly scheduled scraping tasks.
**Who is this course for?**
This course is designed for beginners and intermediate learners who want to solidify their understanding of both web scraping and web application development. While it doesn’t delve into the deepest complexities of Dash or databases, it provides a solid foundation for a complete workflow.
**Prerequisites:**
* A basic understanding of web scraping concepts (even if you haven’t taken the introductory course).
* Foundational knowledge of HTML and CSS (consider Progate if you need a refresher).
* Basic Python programming skills, including proficiency with variables, syntax, control flow, and common functions in Jupyter Notebook.
If you’re new to Python or unsure about your current level, the instructors highly recommend their prerequisite courses: “【キカガク流】人工知能・機械学習 脱ブラックボックス講座 – 初級編 -” and “【キカガク流】プログラミング力向上のためのPythonで学ぶアルゴリズム論（前編）”.
**A Note on Heroku:**
While Heroku’s Add-ons require credit card registration, you can rest assured that usage within the scope of this course will remain free.
**Recommendation:**
If you’ve grasped the fundamentals of web scraping and are eager to build and deploy your own data-driven applications, this course is a highly recommended investment. It bridges the gap between collecting data and creating tangible, shareable projects. Be sure to review the curriculum and introductory video to ensure it aligns with your learning goals.
Enroll Course: https://www.udemy.com/course/python-scraping-application/