Python for Data Analytics - Full Course for Beginners
🧮 Course Problems & Certificate 👉 https://lukeb.co/python
📝 Course Code & Notes 👉 https://lukeb.co/python_repo
Connect with Kelly Adams, the course producer:
👩🏻💼 Kelly’s LinkedIn: / kellyjianadams
🌐 Kelly’s Website: https://www.kellyjadams.com
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
- Dataset (Hugging Face) - https://huggingface.co/datasets/lukeb...
- Functions Python Docs - https://docs.python.org/3/library/fun...
- Python Standard Library - https://docs.python.org/3/library/ind...
- DateTime Docs - https://docs.python.org/3/library/dat...
- AST Docs - https://docs.python.org/3/library/ast...
- Format String Literals - https://docs.python.org/3/reference/l...
- Pandas Docs - https://pandas.pydata.org/pandas-docs...
- Matplotlib Docs - http://matplotlib.org/
- Matplotlib CheatSheet - https://matplotlib.org/cheatsheets/
2️⃣ Advanced Links
- VS Code Install - https://code.visualstudio.com/download
- Anaconda Install - https://anaconda.com/download/success
- Anaconda Docs - https://docs.conda.io
- Software Jobs CSV - https://lukeb.co/software_csv
- Joins Explained (SQL for Data Analytics) - https://lukeb.co/sql_joins
- Pandas Cheat Sheet - https://pandas.pydata.org/Pandas_Chea...
- Seaborn Docs - https://seaborn.pydata.org/
3️⃣ Project Links
- Git Download - https://git-scm.com/downloads
- GitHub Signup - http://github.com/signup
- Markdown CheatSheet - https://www.markdownguide.org/cheat-s...
Social Media / Contact Me
======================
📫Newsletter: https://www.lukebarousse.com/
👨🏼💼 Linkedin: / luke-b
🅧 X/Twitter: / lukebarousse
🌄 Instagram: / lukebarousse
⏰ 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
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