How I use Python as a Data Analyst

🐍 Python For Everybody 👉🏼  📊 Python for Data Science 👉🏼  ☁️ Google Cloud Fundamentals 👉🏼  Python App Resources: ================================== 📲 LIVE Python App 👉🏼 ♾️ EDA Notebook 👉🏼  📈 Kaggle Dataset 👉🏼  👾 r/DataNerd Subreddit 👉🏼  🔷 SerpAPI 👉🏼 Courses for Data Nerds ================================== 📜 Google Data Analytics Certificate (START HERE) 👉🏼 💿 SQL for Data Science 👉🏼 🧾 Excel Skills for Business 👉🏼  🐍 Python for Everybody 👉🏼 📊 Data Visualization with Tableau 👉🏼  🏴‍☠️ Data Science: Foundations using R 👉🏼 ➕ Coursera Plus Subscription (7-day free trial) 👉🏼 👨🏼‍🏫 All courses 👉🏼 Build a Portfolio ================================== 👩🏻‍💻Build portfolio here 👉🏼 Rebate Code: “LUKE“ My Portfolio 👉🏼 Books for Data Nerds ================================== 📚 Books I’ve read 👉🏼 📗 Data Analyst Must Read 👉🏼 📙 Tableau 👉🏼 📘 Power BI👉🏼 📕 Python 👉🏼 Tech for Data Nerds ================================== ⚙️ Tech I use 👉🏼 🪟Windows on a Mac (Parallels VM) 👉🏼 👨🏼‍💻 M1 Macbook Air (Mac of choice) 👉🏼 💻 Dell XPS 13 (PC of choice) 👉🏼 💻 Asus Vivo Book (Lowest Cost PC) 👉🏼 💻Lenovo IdeaPad (Best Value PC)👉🏼 Social Media / Contact Me ====================== 🙋🏼‍♂️Newsletter: 🌄 Instagram: ⏰ TikTok: @lukebarousse 📘 Facebook: 📥 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