What you will learn in Learn SQL Basics for Data Science Specialization Course
- Understand the basics of SQL syntax and database management.
- Learn how to filter, sort, and retrieve data using SQL queries.
- Perform data manipulation, aggregation, and joins across multiple tables.
- Use SQL to clean and prepare datasets for analysis.
- Gain hands-on experience with real-world datasets to extract meaningful insights.
- Learn advanced SQL concepts, including subqueries and window functions.
Program Overview
Introduction to SQL
⏱️ 4-6 weeks
- Learn the basics of relational databases and SQL structure.
- Understand tables, columns, and primary keys.
- Write simple queries to retrieve and filter data.
SQL for Data Manipulation
⏱️ 6-8 weeks
- Perform data filtering, sorting, and aggregation.
- Work with functions like COUNT, SUM, AVG, and GROUP BY.
- Use SQL operators to modify and clean datasets.
Advanced SQL Techniques
⏱️ 8-12 weeks
- Understand complex joins and relationships between multiple tables.
- Work with subqueries and common table expressions (CTEs).
- Explore window functions and analytical queries.
SQL for Data Science Applications
⏱️ 10-12 weeks
- Learn to use SQL in a data science workflow.
- Connect SQL with Python for deeper analysis.
- Extract insights from large datasets to support decision-making.
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Job Outlook
- SQL is one of the most in-demand skills in data science and analytics.
- Data Analysts, Data Scientists, and Business Intelligence professionals require SQL expertise.
- Entry-level SQL-based roles offer salaries ranging from $60K – $90K annually.
- Companies across finance, healthcare, e-commerce, and tech actively seek SQL professionals.
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Related Reading
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Specification: Learn SQL Basics for Data Science Specialization Course
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FAQs
- A beginner-level, self-paced series on Coursera created by UC Davis, focused on teaching SQL for data science applications. No prior coding experience is needed.
- Consists of three core courses plus a capstone project, designed to progressively deepen your SQL knowledge from basic queries to complex data workflows.
- Ideal for complete beginners—especially aspiring data professionals—interested in learning how to manipulate and analyze data using SQL.
- It’s a strong starting point for those breaking into data science or analytics who want to acquire essential data querying skills.
- You’ll gain the ability to write SQL queries to filter, sort, and summarize data, and manipulate dates, strings, and numeric fields.
- You’ll learn to clean datasets, implement A/B test logic, and handle complex data transformation, including working with Apache Spark, Delta Lake, and feature engineering tasks.
- The capstone project empowers you to apply everything in a practical, real-world-like scenario—developing a proposal, analyzing data, and presenting insights.
- Reddit users describe it as a “typical basic SQL course,” and recommend augmenting it with hands-on practice on real databases to deepen understanding.
- Some learners suggest continuing with more advanced SQL coursework (like UC Davis’s Advanced SQL for Data Science or interactive tutorials) once this foundation is in place.
