📁 FREE Course Files & Project 👉 🏆 Supporter Access: Problems, Certificate, & More 👉 My FREE Course to be a Data Analyst 👉 📌💬 See pinned comment for troubleshooting tips. 𝗖𝗵 0️⃣ - 𝗜𝗻𝘁𝗿𝗼 ▔▔▔▔▔ 0:00:00 - Welcome 0:03:12 - What is Python? 0:04:51 - Intro to Course 𝗖𝗵 1️⃣ - 𝗕𝗮𝘀𝗶𝗰𝘀 ▔▔▔▔▔▔ 0:08:42 - Getting Started 0:18:52 - Variables 0:24:25 - Python Terms 0:38:06 - Data Types 0:48:41 - Strings 1:02:04 - ChatBot Help 1:05:06 - String Formatting 1:15:10 - Operators Part 1 1:26:20 - Conditional Statements 1:34:24 - Lists 1:49:42 - Dictionaries 1:59:54 - Sets 2:05:15 - Tuples 2:12:26 - Operators Part 2 2:21:06 - Loops 2:36:31 - List Comprehensions 2:44:16 - Exercise: Basics 2:52:12 - Functions 3:02:03 - Lambda 3:12:46 - Modules 3:28:16 - Exercise: Python Library 3:40:05 - Library 3:52:33 - Classes 4:10:44 - NumPy: Intro 4:22:56 - Pandas: Intro 4:33:09 - Pandas: Inspection 4:47:20 - Pandas: Cleaning 4:58:46 - Pandas: Analysis 5:08:26 - Exercise: Pandas Basics 5:17:19 - Matplotlib: Intro 5:21:23 - Matplotlib: Plotting 5:34:41 - Matplotlib: Labeling 5:40:34 - Matplotlib: Pandas Plotting 5:46:00 - Exercise: Matplotlib Basics 𝗖𝗵 2️⃣ - 𝗔𝗱𝘃𝗮𝗻𝗰𝗲𝗱 ▔▔▔▔▔▔▔▔ 5:50:56 - Python Install (Anaconda) 6:00:34 - VS Code Install 6:10:49 - Virtual Environments (See Pinned Comment) 6:27:15 - Pandas: Accessing Data 6:35:38 - Pandas: Data Cleaning 6:42:54 - Pandas: Data Management 6:49:35 - Pandas: Pivot Tables 6:57:00 - Pandas: Index Management 7:04:50 - Exercise: Job Demand 7:15:37 - Pandas: Merge DataFrames 7:25:53 - Pandas: Concat DataFrames 7:34:31 - Pandas: Exporting Data 7:40:56 - Pandas: Applying Functions 7:56:39 - Pandas: Explode 8:08:27 - Exercise: Trending Skills 8:17:21 - Matplotlib: Format Charts 8:30:06 - Matplotlib: Pie Plots 8:40:04 - Matplotlib: Scatter Plots 8:50:35 - Matplotlib: Advanced Customization 9:06:00 - Matplotlib: Histograms 9:10:36 - Matplotlib: Box Plots 9:22:01 - Exercise: Skill Pay Analysis 9:31:39 - Seaborn: Intro 𝗖𝗵 3️⃣ - 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 ▔▔▔▔▔▔ 9:45:40 - Project: Intro 9:56:23 - Git & GitHub Setup 10:09:50 - Skill Demand 10:29:33 - Skills Trend 10:42:30 - Salary Analysis 10:50:57 - Optimal Skills 11:03:22 - Share on GitHub 11:06:04 - Share on LinkedIn 🔗 𝗟𝗶𝗻𝗸𝘀 𝗠𝗲𝗻𝘁𝗶𝗼𝗻𝗲𝗱 ▔▔▔▔▔▔▔▔▔ 1️⃣ 𝗕𝗮𝘀𝗶𝗰𝘀 𝗟𝗶𝗻𝗸𝘀 - Dataset (Hugging Face) - - Functions Python Docs - - Python Standard Library - - DateTime Docs - - AST Docs - - Format String Literals - #formatted-string-literals - Pandas Docs - - Matplotlib Docs - - Matplotlib CheatSheet - 2️⃣ 𝗔𝗱𝘃𝗮𝗻𝗰𝗲𝗱 𝗟𝗶𝗻𝗸𝘀 - VS Code Install - - Anaconda Install - - Anaconda Docs - - Software Jobs CSV - - Joins Explained (SQL for Data Analytics) - - Pandas Cheat Sheet - - Seaborn Docs - 3️⃣ 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗟𝗶𝗻𝗸𝘀 - Git Download - - GitHub Signup - - Markdown CheatSheet - 𝗦𝗼𝗰𝗶𝗮𝗹 𝗠𝗲𝗱𝗶𝗮 ▔▔▔▔▔▔ 📫Newsletter: 👨🏼‍💼 Linkedin: 🅧 X/Twitter: 🌄 Instagram: ⏰ TikTok: @lukebarousse Connect with Kelly Adams, the course producer: 👩🏻‍💼 Kelly’s LinkedIn: 🌐 Kelly’s Website: As an Amazon, Coursera, and Parallels Affiliate Programs member, I earn a commission from qualifying purchases on the links above. It costs you nothing but helps me with content creation. #datanerd #dataanalyst #datascience