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In the rapidly evolving field of Data Science, having the ability to obtain and preprocess raw data is just as crucial as modeling. The course “Practical Python for Data APIs & Web Scraping” on Coursera is a comprehensive program designed to fill this vital skill gap. Whether you’re a beginner or an experienced data professional, this course offers practical insights into sourcing data from APIs and websites using Python. You’ll learn to handle real-world scenarios where data isn’t immediately accessible, employing powerful tools like Requests, Selenium, and Pandas to scrape, clean, and organize messy data. The course also emphasizes code reusability by teaching you to refactor your scripts into functions and modules, making your data pipeline more efficient. Additionally, you’ll explore data visualization techniques to turn your cleaned data into insightful visual reports. Overall, this course is a must-have for anyone looking to deepen their skills in data acquisition, preprocessing, and automation in Python. Highly recommended for data enthusiasts aiming to boost their practical toolkit and streamline their data workflows.
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