Data Engineer Bootcamp (FREE 27+ Hour Course) - SQL, Python, Cloud, Bash, AI, Git & GitHub

Luke Barousse ยท Beginner ยท๐Ÿ“ ML Fundamentals ยท9h ago
Free 5-Day Data Engineer Crash Course ๐Ÿ‘‰ https://lukeb.co/de-crash-course Data Engineer Course Bundle (470+ interview problems, certificates, & more) ๐Ÿ‘‰ https://lukeb.co/data-engineer-bundle ๐——๐—ฎ๐˜๐—ฎ ๐—˜๐—ป๐—ด๐—ถ๐—ป๐—ฒ๐—ฒ๐—ฟ๐—ถ๐—ป๐—ด ๐—•๐—ผ๐—ผ๐˜๐—ฐ๐—ฎ๐—บ๐—ฝ โ–”โ–”โ–”โ–”โ–”โ–”โ–”โ–”โ–”โ–”โ–”โ–” 0:00:00 Bootcamp Intro 0:11:01 Fundamentals: Intro 0:13:24 Fundamentals: Stages - DE Lifecycle 0:35:16 Fundamentals: Undercurrents - DE Lifecycle 0:42:42 Fundamentals: Top DE Skills to Focus ๐—ฆ๐—ค๐—Ÿ ๐—ณ๐—ผ๐—ฟ ๐——๐—ฎ๐˜๐—ฎ ๐—˜๐—ป๐—ด๐—ถ๐—ป๐—ฒ๐—ฒ๐—ฟ๐—ถ๐—ป๐—ด โ–”โ–”โ–”โ–”โ–”โ–”โ–”โ–”โ–”โ–”โ–” 0:47:22 SQL Intro 1:06:01 Ch 1 - Setup & Basics 1:39:28 Ch 1 - Operators & Functions 2:42:23 Ch 1 - Terminal Intro 3:15:54 Ch 1 - Local DuckDB Intro 3:53:46 Ch 1 - VS Code Intro 4:16:18 Ch 1 - Data Modeling & JOINs 5:18:13 Project #1 - Exploratory Data Analysis 6:57:49 Ch 2 - Data Types 7:14:39 Ch 2 - DDL & DML 8:17:50 Ch 2 - Subqueries & CTEs 9:32:17 Ch 2 - Data Modeling Pt.2 10:16:15 Ch 2 - Functions (Date, Text, & NULL) 11:13:38 Ch 2 - Window Functions 11:47:26 Ch 2 - Nested Functions 13:19:58 Project #2 - Data Warehouse & ETL Pipeline ๐—–๐—ต๐—ฎ๐˜๐—š๐—ฃ๐—ง ๐—ณ๐—ผ๐—ฟ ๐——๐—ฎ๐˜๐—ฎ ๐—”๐—ป๐—ฎ๐—น๐˜†๐˜๐—ถ๐—ฐ๐˜€ โ–”โ–”โ–”โ–”โ–”โ–”โ–”โ–”โ–”โ–”โ–”โ–” 15:32:34 ChatGPT Tutorial ๐—ฃ๐˜†๐˜๐—ต๐—ผ๐—ป ๐—ณ๐—ผ๐—ฟ ๐——๐—ฎ๐˜๐—ฎ ๐—”๐—ป๐—ฎ๐—น๐˜†๐˜๐—ถ๐—ฐ๐˜€ โ–”โ–”โ–”โ–”โ–”โ–”โ–”โ–”โ–”โ–”โ–” 16:10:14 Python Intro 16:18:56 Ch 1 - Getting Started 16:48:20 Ch 1 - Data Types 17:44:38 Ch 1 - Lists, Dictionaries, Sets, Tuples 18:31:20 Ch 1 - Loops, List Comprehensions 19:02:26 Ch 1 - Functions, Library, Classes 20:20:58 Ch 1 - NumPy: Intro 20:33:10 Ch 1 - Pandas: Intro 21:27:33 Ch 1 - Matplotlib: Intro 22:01:10 Ch 2 - Python Local Install (Anaconda) 22:37:29 Ch 2 - Pandas: Advanced 24:27:35 Ch 2 - Matplotlib: Format Charts 25:41:53 Ch 2 - Seaborn: Intro 25:55:54 Project #3 - Job & Skill Pipeline Analysis โ‚‹โ‚‹โ‚‹โ‚‹โ‚‹โ‚‹โ‚‹โ‚‹โ‚‹โ‚‹โ‚‹โ‚‹โ‚‹โ‚‹โ‚‹โ‚‹โ‚‹โ‚‹โ‚‹โ‚‹โ‚‹ ๐—Ÿ๐—ถ๐—ป๐—ธ๐˜€ & ๐—ฅ๐—ฒ๐˜€๐—ผ๐˜‚๐—ฟ๐—ฐ๐—ฒ๐˜€ โ–”โ–”โ–”โ–”โ–”โ–”โ–”โ–” ๐—ฆ๐—ค๐—Ÿ ๐—ณ๐—ผ๐—ฟ ๐——๐—ฎ๐˜๐—ฎ ๐—˜๐—ป๐—ด๐—ถ๐—ป๐—ฒ๐—ฒ๐—ฟ๐—ถ๐—ป๐—ด โ–”โ–”โ–”โ–”โ–”โ–”โ–”โ–”โ–”โ–”โ–” ๐Ÿ“ FREE Course Files & Project ๐Ÿ‘‰ https://lukeb.co/sql-de-github ๐Ÿ† Supporter Access: Problems, Certificate, & More ๐Ÿ‘‰ https://lukeb.co/sql-de Attach the data_
Watch on YouTube โ†— (saves to browser)
Sign in to unlock AI tutor explanation ยท โšก30

Related AI Lessons

โšก
The Math Behind Football (Soccer) Predictions โ€” Part 3: Monte Carlo Simulations and Exploringโ€ฆ
Learn how to apply Monte Carlo simulations to football predictions using Python, improving your understanding of shot quality and goal probabilities
Medium ยท Python
โšก
The Most Important Programming Lesson Nobody Teaches
Learn how to apply programming concepts to real-world problems, a crucial skill often overlooked in traditional programming education
Medium ยท Machine Learning
โšก
PyTorch + Lightning AI for Neural Networks Part 1: Building Better Workflows
Learn to build better neural network workflows with PyTorch and Lightning AI for improved efficiency and scalability
Dev.to AI
โšก
What to learn next I have completed my oops
Learn AI/ML fundamentals after completing OOPS to enhance your programming skills and transition into the AI/ML field
Reddit r/learnprogramming

Chapters (36)

Bootcamp Intro
11:01 Fundamentals: Intro
13:24 Fundamentals: Stages - DE Lifecycle
35:16 Fundamentals: Undercurrents - DE Lifecycle
42:42 Fundamentals: Top DE Skills to Focus
47:22 SQL Intro
1:06:01 Ch 1 - Setup & Basics
1:39:28 Ch 1 - Operators & Functions
2:42:23 Ch 1 - Terminal Intro
3:15:54 Ch 1 - Local DuckDB Intro
3:53:46 Ch 1 - VS Code Intro
4:16:18 Ch 1 - Data Modeling & JOINs
5:18:13 Project #1 - Exploratory Data Analysis
6:57:49 Ch 2 - Data Types
7:14:39 Ch 2 - DDL & DML
8:17:50 Ch 2 - Subqueries & CTEs
9:32:17 Ch 2 - Data Modeling Pt.2
10:16:15 Ch 2 - Functions (Date, Text, & NULL)
11:13:38 Ch 2 - Window Functions
11:47:26 Ch 2 - Nested Functions
13:19:58 Project #2 - Data Warehouse & ETL Pipeline
15:32:34 ChatGPT Tutorial
16:10:14 Python Intro
16:18:56 Ch 1 - Getting Started
16:48:20 Ch 1 - Data Types
17:44:38 Ch 1 - Lists, Dictionaries, Sets, Tuples
18:31:20 Ch 1 - Loops, List Comprehensions
19:02:26 Ch 1 - Functions, Library, Classes
20:20:58 Ch 1 - NumPy: Intro
20:33:10 Ch 1 - Pandas: Intro
21:27:33 Ch 1 - Matplotlib: Intro
22:01:10 Ch 2 - Python Local Install (Anaconda)
22:37:29 Ch 2 - Pandas: Advanced
24:27:35 Ch 2 - Matplotlib: Format Charts
25:41:53 Ch 2 - Seaborn: Intro
25:55:54 Project #3 - Job & Skill Pipeline Analysis
Up next
The Science of Learning Math (and Anything Else) with Justin Skycak
Deep Learning with Yacine
Watch โ†’