SQL Fundamentals: Learn Database Querying
Learn essential SQL skills to analyze data, manage databases, and create powerful queries - from basic commands to advanced data manipulation.
Learn essential SQL skills to analyze data, manage databases, and create powerful queries - from basic commands to advanced data manipulation.
This comprehensive SQL course introduces you to the fundamentals of database querying and data manipulation. Starting with basic SQL concepts, you'll progress to advanced topics including complex queries, analytics functions, and database management. The course covers relational databases, data querying techniques, table creation and modification, and practical applications in business analytics. Perfect for beginners seeking to enter the data field or professionals looking to enhance their data manipulation skills, this course provides hands-on experience with real-world database scenarios and practical exercises.
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What you'll learn
Understand the fundamentals of relational databases and their importance
Master SQL syntax and basic query writing techniques
Learn to perform complex data operations using joins and subqueries
Develop skills in data manipulation and string handling
Master advanced analytics functions and temporary data sets
Gain practical experience with real database scenarios
Skills you'll gain
This course includes:
PreRecorded video
Graded assignments, exams
Access on Mobile, Tablet, Desktop
Limited Access access
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There are 4 modules in this course
The course provides a comprehensive introduction to SQL, covering everything from basic database concepts to advanced querying techniques. Students learn about relational databases, SQL syntax, data manipulation, and analytics functions. The curriculum includes hands-on experience with PostgreSQL, practical exercises, and real-world applications. Topics range from basic SQL commands to complex operations like joins, subqueries, and recursive CTEs. The course emphasizes practical skills through interactive exercises and culminates with final projects that integrate all learned concepts.
Introduction and Setup
Module 1 · 5 Hours to complete
Advanced Querying and Data Manipulation
Module 2 · 5 Hours to complete
Advanced SQL Functions
Module 3 · 5 Hours to complete
Practical Implementation
Module 4 · 5 Hours to complete
Fee Structure
Instructor
2 Courses
Data Science Educator Bridging Academia and Industry at Davidson College
Pete Benbow is the James B. Duke Assistant Professor of Practice in Data Science at Davidson College, bringing over a decade of industry experience as a developer, team leader, and consultant in data engineering and business intelligence to his academic role. Joining Davidson's faculty in 2024, Benbow focuses on teaching the practical and ethical application of data science methods, emphasizing storytelling, problem-solving, and societal impact. His approach to education, both in traditional classrooms and through online platforms like edX, prioritizes accessibility and relevance, helping students discover their potential in data technologies. Benbow's impact extends beyond academia, with his edX courses on SQL databases and Microsoft Power BI reaching nearly 200,000 learners worldwide since 2020. As a Microsoft Certified Trainer since 2021 and holder of several Microsoft data platform certifications, Benbow bridges the gap between academic theory and industry practice, contributing to professional workshops and national conferences on various technical topics, thus preparing students for the evolving landscape of data science and technology.
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