🔅 Ethical Hacking: SQL Injection

📝 Learn about the SQL command language and SQL injections. Examine SQL injections in MySQL, SQL Server, and Oracle XE, and discover how attackers defeat web application firewalls.

🌐 Author: Malcolm Shore
🔰 Level: Intermediate
⏰ Duration: 1h 45m

📋 Topics: Ethical Hacking, SQL Injection

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📱Data Science
📱Ethical Hacking: SQL Injection

📖 Merging and Joining Data

Working with multiple datasets? Combine them just like SQL:

# Inner join (default)
merged = pd.merge(df_sales, df_customers, on='customer_id')

# Left join
pd.merge(df_sales, df_customers, on='customer_id', how='left')

# Concatenate vertically
all_data = pd.concat([df_2023, df_2024], ignore_index=True)

# Join on index
df1.join(df2, on='date')

This wraps up our Data Manipulation Using Pandas Series.

🖥 Data Analyst Roadmap

😉 A list of the best YouTube videos
✅ To learn data science


1️⃣ SQL language


⬅️ Learning

💰 4-hour SQL course from zero to one hundred

💰 Window functions tutorial

⬅️ Projects

📎 Starting your first SQL project

💰 Data cleansing project

💰 Restaurant order analysis

⬅️ Interview

💰 How to crack the SQL interview?

➖➖➖

2️⃣ Python


⬅️ Learning

💰 12-hour Python for Data Science course

⬅️ Projects

💰 Python project for beginners

💰 Analyzing Corona Data with Python

⬅️ Interview

💰 Python interview golden tricks

💰 Python Interview Questions

➖➖➖

3️⃣ Statistics and machine learning


⬅️ Learning

💰 7-hour course in applied statistics

💰 Machine Learning Training Playlist

⬅️ Projects

💰 Practical ML Project

⬅️ Interview

💰 ML Interview Questions and Answers

💰 How to pass a statistics interview?

➖➖➖

4️⃣ Product and business case studies


⬅️ Learning

💰 Building strong product understanding

💰 Product Metric Definition

⬅️ Interview

💰 Case Study Analysis Framework

💰 How to shine in a business interview?

🔅 How To Be a Lead Data Scientist

📝 Build a foundation and develop skills for seasoned data scientists to level up from model builders to AI leaders.

🌐 Author: Matthew Blasa
🔰 Level: Advanced
⏰ Duration: 1h 6m

📋 Topics: Data Science, Team Management

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📱Data Science
📱How To Be a Lead Data Scientist

🖥 4 main database types

🖥 Tableau vs. Power BI

📖 What are DDL Commands in SQL?

They don’t touch your data — they shape where your data lives.
Use CREATE, ALTER, and DROP to define and change your database structure.

💡 Powerful, essential — and should be used with care!

🔅 The 80/20 Rule of Data Science

📝 Explore the core concepts of the 80/20 rule for data science and how to get most of the value with minimal effort.

🌐 Author: Howard Friedman
🔰 Level: Intermediate
⏰ Duration: 1h 26m

📋 Topics: Data Science, Project Engineering, Team Management

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📱Data Science
📱The 80/20 Rule of Data Science

📖 Learn Database

Databases power everything from websites and apps to enterprise systems. Here’s a learning map that can help you master databases:

1 - Database Fundamentals
This includes topics like “What is a database”, RDBMS, SQL vs NoSQL, ACID vs BASE, OLTP vs OLAP, Transactions, and Isolation Levels.

2 - Data Models and Types
Consists of topics like Relational Databases, Non-Relational Databases, and Data Types (Integer, String, Boolean, Date, JSON, etc).

3 - Querying and Language
This includes topics like SQL Basics (SELECT, INSERT, etc), Advanced SQL (Views, Indexes, CTEs, etc), and NoSQL Querying (Aggregation and Key-Value Lookups).

4 - Indexing and Optimization
Consists of topics like Indexing (B-Tree, Hash, and Bitmaps), Query Execution Plans, Denormalization vs Normalization, Sharding, Connecting Pooling, and Query Batching.

5 - Security, Backups, and Scaling
This includes topics like User Roles, Permissions, Encryption, SQL Injection, High Availability (Replication and Failover), Horizontal vs Vertical Scaling.

6 - Tools and Ecosystem
Consists of topics like Popular SQL Databases, NoSQL Database, GUI Tools, ORMs, Cloud DB services (RDS, DynamoDB, Google Cloud SQL, etc.)