Python for Data Analytics - Full Course for Beginners

🧮 Course Problems & Certificate 👉  📝 Course Code & Notes 👉 Connect with Kelly Adams, the course producer: 👩🏻‍💼 Kelly’s LinkedIn: 🌐 Kelly’s Website: 0️⃣ Course Intro ============== 00:00 - Welcome 03:12 - What is Python? 04:51 - Intro to Course 1️⃣ Basics Chapter ============== 08:42 - Getting Started 18:51 - Variables 24:24 - Python Terms 38:04 - Data Types 48:39 - Strings 1:02:01 - ChatBot Help 1:05:03 - String Formatting 1:15:06 - Operators Part 1 1:26:15 - Conditional Statements 1:34:19 - Lists 1:49:36 - Dictionaries 1:59:47 - Sets 2:05:08 - Tuples 2:12:19 - Operators Part 2 2:20:58 - Loops 2:36:22 - List Comprehensions 2:44:07 - Exercise: Basics 2:52:02 - Functions 3:01:53 - Lambda 3:12:35 - Modules 3:28:04 - Exercise: Python Library 3:39:52 - Library 3:52:20 - Classes 4:10:29 - NumPy: Intro 4:22:41 - Pandas: Intro 4:32:53 - Pandas: Inspection 4:47:03 - Pandas: Cleaning 4:58:29 - Pandas: Analysis 5:08:08 - Exercise: Pandas Basics 5:17:00 - Matplotlib: Intro 5:21:04 - Matplotlib: Plotting 5:34:21 - Matplotlib: Labeling 5:40:14 - Matplotlib: Pandas Plotting 5:45:40 - Exercise: Matplotlib Basics 2️⃣ Advanced Chapter ================ 5:50:35 - Python Install (Anaconda) 6:00:13 - VS Code Install 6:10:27 - Virtual Environments (See Pinned Comment) 6:26:52 - Pandas: Accessing Data 6:35:15 - Pandas: Data Cleaning 6:42:30 - Pandas: Data Management 6:49:11 - Pandas: Pivot Tables 6:56:35 - Pandas: Index Management 7:04:25 - Exercise: Job Demand 7:15:11 - Pandas: Merge DataFrames 7:25:27 - Pandas: Concat DataFrames 7:34:04 - Pandas: Exporting Data 7:40:29 - Pandas: Applying Functions 7:56:11 - Pandas: Explode 8:07:58 - Exercise: Trending Skills 8:16:52 - Matplotlib: Format Charts 8:29:36 - Matplotlib: Pie Plots 8:39:33 - Matplotlib: Scatter Plots 8:50:04 - Matplotlib: Advanced Customization 9:05:28 - Matplotlib: Histograms 9:10:03 - Matplotlib: Box Plots 9:21:28 - Exercise: Skill Pay Analysis 9:31:05 - Seaborn: Intro 3️⃣ Project Chapter =============== 9:45:05 - Project: Intro 9:55:48 - Git & GitHub Setup 10:09:14 - Skill Demand 10:28:56 - Skills Trend 10:41:52 - Salary Analysis 10:50:18 - Optimal Skills 11:02:43 - Share on GitHub 11:05:24 - Share on LinkedIn 🔗 Links Mentioned =============== 1️⃣ Basics Links - 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 / Contact Me ====================== 📫Newsletter: 👨🏼‍💼 Linkedin: 🅧 X/Twitter: 🌄 Instagram: ⏰ TikTok: @lukebarousse 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