Intermediate SQL: Querying, Data Manipulation, and Security

External: Coursera Courses ↗ · Coursera

Open Course on External: Coursera

Free to audit · Opens on External: Coursera

Intermediate SQL: Querying, Data Manipulation, and Security

Coursera · Intermediate ·📊 Data Analytics & Business Intelligence ·2w ago

Key Takeaways

Covers intermediate SQL techniques, including querying, data manipulation, and security

Original Description

This course dives deep into SQL techniques, focusing on querying, data manipulation, and security. Learners will develop skills that are crucial for working with databases in real-world applications, from retrieving data to ensuring its integrity. The course covers advanced SQL queries, modifying clauses, handling complex joins, and understanding database security practices. You’ll learn how to work with subqueries, relational operators, and cursors, while mastering ways to protect data against hardware failure and external threats. By combining theoretical knowledge with hands-on examples, this course provides practical skills for professional database developers. What sets this course apart is its blend of theory and real-world scenarios. You'll not only grasp the core concepts but also apply them to real database management tasks like securing user access and handling errors. The course prepares you for various challenges faced by database administrators and developers. This course is ideal for intermediate-level learners with a foundational understanding of SQL who want to enhance their querying and database security skills. Prior experience with basic SQL is recommended. This course is part two of a three-course Specialization designed to provide a comprehensive learning pathway in this subject area. While it delivers standalone value and practical skills, learners seeking a more integrated and in-depth progression may benefit from completing the full Specialization. From SQL All-in-One For Dummies Copyright © 2024 by John Wiley & Sons, Inc., Hoboken, New Jersey Used by arrangement with John Wiley & Sons, Inc.
Watch on External: Coursera ↗ (saves to browser)
AI explanation not available for this lesson yet
This lesson is still being prepared for the AI tutor. In the meantime, explore lessons that are ready.
Browse explainer-ready lessons →

Related Reads

📰
Data Engineering Pipelines for Game Telemetry: Making Sense of the Player Data Flood
Learn to build data engineering pipelines for game telemetry to make sense of player data and improve game development
Medium · Data Science
📰
Free vs Paid Data Science Resources: What’s Worth It?
Learn to navigate free and paid data science resources to determine which ones are worth investing in for your career growth
Medium · Data Science
📰
I Rebuilt Our BI Stack on DuckDB and Parquet Files: A Before/After Latency Story
Learn how to rebuild a BI stack using DuckDB and Parquet files to reduce latency from 27 seconds to 2 seconds
Medium · Python
📰
Modellere Fısıldayan Sanat: Keşifçi Veri Analizi ve Veri Temizleme Rehberi
Learn the importance of exploratory data analysis and data cleaning in machine learning to build robust models
Medium · Machine Learning
Up next
Standard Error vs Standard Deviation
DataMListic
Watch →