Paid Certificate Beginner Data Science

SQL for Data Science — UC Davis

University of California, Davis

Master SQL fundamentals for data science with UC Davis. Learn to write complex queries, filter and sort data, use subqueries and joins, and analyze datasets using SQL in real-world data science scenarios.

Duration

4 weeks

Level

Beginner

Deadline

No Deadline

🌐 Available Languages: English
📅 Last Updated: 2026-03-24

📋 Prerequisites

No prior programming or database experience required. Basic computer literacy and a willingness to learn technical concepts are sufficient.

👥 Who Should Take This Course

  • Aspiring data scientists and analysts who need SQL skills
  • Business professionals who want to query databases for insights
  • Students beginning their journey in data science
  • Developers looking to strengthen their database querying abilities

📚 What You Will Learn

1

Getting Started with SQL and Relational Databases

2

Filtering, Sorting, and Calculating Data with SQL

3

Subqueries, Joins, and Working with Multiple Tables

4

Modifying and Analyzing Data for Data Science Applications

5

SQL Case Studies and Real-World Data Projects

🏛️ About the Institution — University of California, Davis

The University of California, Davis is a leading public research university and part of the prestigious UC system. Founded in 1905, UC Davis is recognized for its strengths in science, engineering, and data-driven research across multiple disciplines.

Founded

1905

Location

Davis, California, USA

Recognition

Top 40 National University — U.S. News (2026)

❓ Frequently Asked Questions

Can I take this UC Davis SQL course for free?
Yes, you can audit the course for free on the course platform to access all video lectures and readings. The certificate and graded assignments require a paid subscription or financial aid approval.
Do I need to install any software for this SQL course?
The course provides browser-based environments for practicing SQL queries, so no software installation is required. You can complete all exercises directly within the 课程平台 platform.
How long does it take to complete this SQL course?
The course is designed to be completed in approximately 4 weeks at a pace of 3-4 hours per week. It is self-paced, so you can finish faster or take more time as needed.

📖 Get Step-by-Step Guide

Complete walkthrough with screenshots, tips, and troubleshooting

  • Step-by-step registration walkthrough
  • Screenshot tutorials for each step
  • Common mistakes to avoid
  • Tips to complete faster
  • Troubleshooting FAQ
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