Python for Data Analytics - Full Course for Beginners

Connect with Kelly Adams, the course producer:

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
2️⃣ Advanced Links
3️⃣ Project Links

Social Media / Contact Me
======================

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

[LukeBarousse]

👇Below are some troubleshooting steps for common issues students have encountered:


Windows Users - Conda Virtual Environment Issues (Required Steps for Windows Users):

Background: By default, the terminal in VS Code on Windows, PowerShell, has a restricted execution policy. This is fancy talk for saying that certain scripts and programs are blocked from running for security concerns, with "conda" commands being one of them. There are two workarounds for this:
1. Switch from using PowerShell to Command Prompt (Easy)
2. Update PowerShell settings to allow 'conda' commands (Hard)

Option 1: Switch from Powershell to Command Prompt
1. Open the Command Palette: Press Ctrl + Shift + P to open it.
2. In the Command Palette, type `Terminal: Select Default Profile` and press Enter.
3. A list of available terminal profiles will appear. Select `Command Prompt` from the list.

Option 2: Update PowerShell Settings:
1. Open PowerShell as Administrator (Go to Search Bar, Type "PowerShell, " Select option "Run as Administrator")
2. Check your current execution policy by running the following in the PowerShell terminal:
Get-ExecutionPolicy
3. If set to "Restricted, " run the following to change to a good balance of security and functionality:
Set-ExecutionPolicy RemoteSigned
4. Run the following to fully setup conda to be run within PowerShell:
conda init powershell

[_logicking]

Oh eleven minutes only! …wait that’s not the minutes section of the time stamp….bookmarking, getting back to work, will return. Thank you so much for this!

[ballinspalding]

God bless you Luke, making this available for free really says a lot about the man you are.

[pratikthorat]

You woke up and chose to upload my entire education in a 12 hour video!

Thank You so much! Weekend will be fun 🎉

[maminoivan]

Luke Barousse, Alex the Analyst, DataWithBaraa, Mosh, Amit_Thinks and Bro Code are the BEST!!!

[mspurim]

very wonderful, enjoyable and useful, I finished SQL course with you and now about finishing PYTHON, thank so much from my heart my best teacher online,
it is Mohammed from Sudan

[chibuezembah]

God bless you, Luke. You announced this video during your SQL course and you fulfilled it. Thanks

[cleverhype]

Woah! Can't believe you put this up fully for free! Thank you!

[humichael]

I almost finished the course! And I almost finished my first python project along with the course. This is hands down the best tutorial on python out there!

[Ritz]

This is perfect! Been looking for something like this for weeks.

[Hasan-vuex]

Luke, thank you so much for this tutorial. I was just about to start learning Python and my favorite Data Analyst Youtuber just uploaded this gem. Can't afford to buy the certificate right now, but I definitely will pay for it in the near future just to appreciate your efforts

[keancabigao]

Just right in time! I will be transitioning my workflow from R to Python and have been looking for solid course on beginner python. Thank you!

[ferozali]

will watch it all and update myself thanks a lot LUKE

[vaibhavpundir]

Thank you much Luke!! your videos are just perfect, your hardwork in creating such long video are a boon for us.

[mosesnyper]

Man casually dropped a whole Intro to CS course for free 😂

[nutthaponrathie]

You haven't uploaded a new video for a while, which surprised me, and this is the answer. Thank you!

[VernHowChan]

huge kudos to you Luke. what a generous big gift this is.

[saumyaari]

after your SQL video, I was really waiting for this. so thrilled. Thanks Luke 😊

[blushandrush]

Great timing. I was thinking of refreshing my python skills lately. Thanks to this video there is no excuse to wait any longer😅

[freedommentor]

Really loved it, Massive & fully packed one video course. Thanks Luke. 🥰