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via Udemy |
Go to Course: https://www.udemy.com/course/web-scraping-apis-for-data-science-2021/
Certainly! Here's a comprehensive review and recommendation for the Coursera course based on the provided details: --- **Course Review and Recommendation: Web Scraping and Data Mining with Python on Coursera** If you're eager to dive into the world of web scraping and data mining, this Coursera course is an excellent starting point. Designed for beginners with basic Python knowledge, the course guides you through the fundamental concepts of scraping data from web APIs, progressing to more advanced projects that enable you to extract, process, and store large datasets. **Course Content and Structure** The course begins with essential fundamentals, making it accessible even if you're new to web scraping. The initial projects involve simple data extraction tasks, helping you develop confidence in working with APIs and handling data within Python. As you advance, you'll undertake two intermediate projects, followed by a comprehensive advanced project. The latter involves creating two datasets with 5,000 results each, then merging them into a single dataset of 10,000 entries. You'll learn how to save these datasets into Excel files and upload the data into a PostgreSQL database, running SQL queries directly on your scraped data. This multi-faceted approach provides practical experience in data management and analysis. **Prerequisites and Learning Goals** A basic understanding of Python programming is recommended but not mandatory, as the course doesn't cover complex Python topics. The focus remains on web scraping and data mining techniques, appealing to curious learners who are eager to explore these fields. Dedication and time investment are essential to grasp the content fully. **Community Support and Ethical Considerations** One of the course’s strengths is its active Q&A forum, where instructors and fellow students are available to clarify doubts and discuss concepts. This collaborative environment ensures you don’t feel alone during your learning journey. Additionally, the instructor emphasizes the ethical use of web scraping, underscoring the importance of not harming websites—a crucial reminder for responsible data extraction. **My Recommendations** This course is highly recommended for beginners interested in acquiring practical skills in web scraping and data handling. It's ideal if you want to learn how to create your own datasets from online sources, process them efficiently, and perform SQL operations on your data. If you’re curious about data mining, eager to enhance your Python scraping skills, and committed to ethical practices, this course will serve as a valuable resource. With its hands-on projects and supportive community, you'll gain both the knowledge and confidence to scrape your own data professionally. --- **Summary:** - **Pros:** Beginner-friendly, practical projects, comprehensive coverage from basics to advanced, supportive community, emphasis on ethical scraping - **Cons:** Requires basic Python knowledge, time commitment needed for mastery - **Ideal for:** Beginners interested in web scraping, data mining, Python programming, and data analysis I highly recommend enrolling in this course to kickstart your journey into web scraping and data analysis! ---
In this course the students will get to know how to scrape data from the API of a website (if available). We start with the fundamentals and the beginner level project. After that, two different projects will be covered, followed by the advanced project. After scraping data of wach project, the results will be stored inside an Excel file. Within the advanced level project we will create two dofferent datasets with 5000 results each. The goal is to merge both dataframes (total: 10000 results), save it in Excel and output the data in the PostgreSQL database and run SQL commands on our own data.The requirement for this course is basic knowledge of Python Programming. Since we will not cover very difficult Python topics you do not have to be a professional. The most important characteristic is that you are curious about Web Scraping and Data Mining. You should be ready to invest time in gaining the knowledge which is taught in this course.After this course you will have the knowledge and the experience to scrape your own data and create your own dataset. With the help of the course resources you will always have documents you can refer to. If you have a question or if a concept just does not make sense to you, you can ask your questions anytime inside the Q & A - Forum. Either the instructor or other students will answer your question. Thanks to the community you will never have the feeling to learn alone by yourself.Disclaimer: I teach web scraping as a tutor for educational purposes. That's it. The first rule of scraping the web is: do not harm a certain website. The second rule of web crawling is: do NOT harm a certain website.