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How I use Python as a Data Analyst

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๐Ÿย Python For Everybody ๐Ÿ‘‰๐Ÿผย  ๐Ÿ“Šย Python for Data Science ๐Ÿ‘‰๐Ÿผย  โ˜๏ธย Google Cloud Fundamentals ๐Ÿ‘‰๐Ÿผย  Python App Resources: ================================== ๐Ÿ“ฒย LIVE Python App ๐Ÿ‘‰๐Ÿผ โ™พ๏ธย EDA Notebook ๐Ÿ‘‰๐Ÿผย  ๐Ÿ“ˆย Kaggle Dataset ๐Ÿ‘‰๐Ÿผย  ๐Ÿ‘พย r/DataNerd Subreddit ๐Ÿ‘‰๐Ÿผย  ๐Ÿ”ท SerpAPI ๐Ÿ‘‰๐Ÿผ Courses for Data Nerds ================================== ๐Ÿ“œ Google Data Analytics Certificate (START HERE) ๐Ÿ‘‰๐Ÿผ ๐Ÿ’ฟ SQL for Data Science ๐Ÿ‘‰๐Ÿผ ๐Ÿงพ Excel Skills for Business ๐Ÿ‘‰๐Ÿผย  ๐Ÿ Python for Everybody ๐Ÿ‘‰๐Ÿผ ๐Ÿ“Š Data Visualization with Tableau ๐Ÿ‘‰๐Ÿผย  ๐Ÿดโ€โ˜ ๏ธ Data Science: Foundations using R ๐Ÿ‘‰๐Ÿผ โž• Coursera Plus Subscription (7-day free trial) ๐Ÿ‘‰๐Ÿผ ๐Ÿ‘จ๐Ÿผโ€๐Ÿซ All courses ๐Ÿ‘‰๐Ÿผ Build a Portfolio ================================== ๐Ÿ‘ฉ๐Ÿปโ€๐Ÿ’ปBuild portfolio here ๐Ÿ‘‰๐Ÿผ Rebate Code: โ€œLUKEโ€œ My Portfolio ๐Ÿ‘‰๐Ÿผ Books for Data Nerds ================================== ๐Ÿ“š Books Iโ€™ve read ๐Ÿ‘‰๐Ÿผ ๐Ÿ“— Data Analyst Must Read ๐Ÿ‘‰๐Ÿผ ๐Ÿ“™ Tableau ๐Ÿ‘‰๐Ÿผ ๐Ÿ“˜ Power BI๐Ÿ‘‰๐Ÿผ ๐Ÿ“• Python ๐Ÿ‘‰๐Ÿผ Tech for Data Nerds ================================== โš™๏ธ Tech I use ๐Ÿ‘‰๐Ÿผ ๐ŸชŸWindows on a Mac (Parallels VM) ๐Ÿ‘‰๐Ÿผ ๐Ÿ‘จ๐Ÿผโ€๐Ÿ’ป M1 Macbook Air (Mac of choice) ๐Ÿ‘‰๐Ÿผ ๐Ÿ’ป Dell XPS 13 (PC of choice) ๐Ÿ‘‰๐Ÿผ ๐Ÿ’ป Asus Vivo Book (Lowest Cost PC) ๐Ÿ‘‰๐Ÿผ ๐Ÿ’ปLenovo IdeaPad (Best Value PC)๐Ÿ‘‰๐Ÿผ Social Media / Contact Me ====================== ๐Ÿ™‹๐Ÿผโ€โ™‚๏ธNewsletter: ๐ŸŒ„ Instagram: โฐ TikTok: @lukebarousse ๐Ÿ“˜ Facebook: ๐Ÿ“ฅ Business Inquiries: luke@ 00:00 Intro 01:31 How to collect data 02:33 APIs 03:19 Getting the Goods 04:58 What is a Database? 07:32 Cleaning the Goods 08:56 EDA of the Goods 09:31 Salary Analysis 10:01 Keyword Analysis 11:55 App Build... for the Goods 13:14 I NEED YOUR HELP!!! As a member of the Amazon, Coursera, Hostinger, and Parallels Affiliate Programs, I earn a commission from qualifying purchases on the links above. It costs you nothing but helps me with content creation. #dataanalyst #dataanalytics #datascience

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