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🚨 This tool is trending #1 on GitHub and it can scrape almost ANYTHING. Websites, documents, structured data… give it a target and watch what it pulls out. 👀 I tested it myself, and this one deserves attention. But use it legally: only scrape public data you’re permitted to access and respect website terms, copyright, privacy, and applicable laws. Save this before everyone starts talking about it. 🔥
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If you want to land your first job in data analytics without a degree or previous experience, I recommend you start by learning the basics online through CourseCareers Data Analytics Course. The link to their free course is in my profile. #dataanalytics #datajob #careeradvice #careertiktok #jobhunt
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🤯 Messy Data? Excel Can Do the Magic! Working with messy data is a common part of data analysis. Before you can build a dashboard or find meaningful insights, your data needs to be cleaned and organized. With Excel, you can handle tasks like: Removing duplicates Cleaning unnecessary spaces Fixing inconsistent formats Splitting and combining columns Handling missing or incorrect values Standardizing names and categories Preparing data for analysis and reporting The key is not just knowing Excel
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