What will you learn in SQL for Data Science Course
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Write SQL queries to retrieve and analyze data from relational databases.
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Use SELECT statements with filtering, sorting, and aggregation.
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Apply JOIN operations to combine data from multiple tables.
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Understand subqueries and nested queries.
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Perform data cleaning and transformation tasks using SQL.
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Strengthen foundational skills for data analytics and business intelligence roles.
Program Overview
Introduction to SQL and Databases
2–3 weeks
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Learn how relational databases are structured.
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Understand tables, rows, columns, and primary keys.
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Write basic SELECT statements.
Filtering and Aggregating Data
3–4 weeks
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Use WHERE, ORDER BY, GROUP BY, and HAVING clauses.
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Apply aggregate functions like COUNT, SUM, AVG, MIN, and MAX.
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Analyze trends and summarize datasets.
Working with Multiple Tables
3–4 weeks
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Perform INNER JOIN and LEFT JOIN operations.
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Combine datasets efficiently for deeper insights.
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Use subqueries for advanced filtering.
Practical Data Analysis Applications
2–3 weeks
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Solve real-world data problems using SQL.
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Extract insights for reporting and decision-making.
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Strengthen readiness for analytics and BI tasks.
Get certificate
Job Outlook
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Essential skill for Data Analysts, Business Analysts, and Data Scientists.
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SQL is widely used across industries including tech, finance, healthcare, and retail.
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Strong foundation for advanced data analytics and data engineering roles.
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Frequently required in entry-level analytics job descriptions.
Last verified: March 12, 2026
