Welcome

What is Python?

Intro to Course

Getting Started

Variables

Python Terms

Data Types

Strings

ChatBot Help

String Formatting

Operators Part 1

Conditional Statements

Lists

Dictionaries

Sets

Tuples

Operators Part 2

Loops

List Comprehensions

Exercise: Basics

Functions

Lambda

Modules

Exercise: Python Library

Library

Classes

NumPy: Intro

Pandas: Intro

Pandas: Inspection

Pandas: Cleaning

Pandas: Analysis

Exercise: Pandas Basics

Matplotlib: Intro

Matplotlib: Plotting

Matplotlib: Labeling

Matplotlib: Pandas Plotting

Exercise: Matplotlib Basics

Python Install (Anaconda)

VS Code Install

Virtual Environments (Conda)

Pandas: Accessing Data

Pandas: Data Cleaning

Pandas: Data Management

Pandas: Pivot Tables

Pandas: Index Management

Exercise: Job Demand

Pandas: Merge DataFrames

Pandas: Concat DataFrames

Pandas: Exporting Data

Pandas: Applying Functions

Pandas: Explode

Exercise: Trending Skills

Matplotlib: Format Charts

Matplotlib: Pie Plots

Matplotlib: Scatter Plots

Matplotlib: Advanced Customization

Matplotlib: Histograms

Matplotlib: Box Plots

Exercise: Skill Pay Analysis

Seaborn: Intro

Project: Intro

Git & GitHub Setup

Skill Demand

Skills Trend

Salary Analysis

Optimal Skills

Share on GitHub

Share on LinkedIn

Luke Barousse

🧮 Course Problems & Certificate 👉 https://lukebarousse.com/python
📝 Course Code & Notes 👉 https://lukeb.co/python_repo

Connect with Kelly Adams, the course producer: 
👩🏻‍💼 Kelly’s LinkedIn: https://www.linkedin.com/in/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 (Conda)
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 - https://docs.python.org/3/library/functions.html
- Python Standard Library - https://docs.python.org/3/library/index.html
- DateTime Docs - https://docs.python.org/3/library/datetime.html
- AST Docs - https://docs.python.org/3/library/ast.html
- Format String Literals - https://docs.python.org/3/reference/lexical_analysis.html#formatted-string-literals
- Pandas Docs - https://pandas.pydata.org/pandas-docs/stable/reference/index.html
- Matplotlib Docs - http://matplotlib.org/
- Matplotlib CheatSheet - https://matplotlib.org/cheatsheets/
2️⃣ Advanced Links
- VS Code Install - https://code.visualstudio.com/download
- 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_Cheat_Sheet.pdf
- 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-sheet/

Social Media / Contact Me
======================
📫Newsletter: https://www.lukebarousse.com/
👨🏼‍💼 Linkedin: https://www.linkedin.com/in/luke-b/
🅧 X/Twitter: https://twitter.com/LukeBarousse
🌄 Instagram: https://www.instagram.com/lukebarousse/
⏰ TikTok: https://www.tiktok.com/@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

Python for Data Analytics - Full Course for Beginners

Python for Data Analytics - Full Course for Beginners

Python for Data Analytics - Full Course for Beginners

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