Data Science
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Learn how to analyze data effectively and manage databases with ease.

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How To Be a Lead Data Scientist.zip
182.1 MB
πŸ“±Data Science
πŸ“±How To Be a Lead Data Scientist
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πŸ–₯ 4 main database types
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πŸ–₯ Tableau vs. Power BI
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πŸ“– What are DDL Commands in SQL?

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

πŸ’‘ Powerful, essential β€” and should be used with care!
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πŸ”… The 80/20 Rule of Data Science

πŸ“ 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
πŸ”° Level: Intermediate
⏰ Duration: 1h 26m

πŸ“‹ Topics: Data Science, Project Engineering, Team Management

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The 80-20 Rule of Data Science.zip
236.9 MB
πŸ“±Data Science
πŸ“±The 80/20 Rule of Data Science
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Do you know the real difference between Data Engineering vs. Data Scientists vs. Data Analysts?
πŸ“– 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 β€œWhat 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.)
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πŸ–₯ 8 Common database types explained
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πŸ”… Decision Intelligence: Data Stories

πŸ“ Learn how to use key lessons from famous data stories around the world to improve decision-making, interpret data effectively, and communicate insights responsibly.

🌐 Author: Franz Buscha
πŸ”° Level: Beginner
⏰ Duration: 45m

πŸ“‹ Topics: Data Science, Decision Sciences, Data-driven Decision Making

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Decision Intelligence: Data Stories.zip
151.6 MB
πŸ“±Data Science
πŸ“±Decision Intelligence: Data Stories
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πŸ”° πŸ“™ Python Data Science Handbook 2nd Edition
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πŸ–₯Type of Databases
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