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IBM: SQL for Data Science course

IBM: SQL for Data Science course Course

A must-have beginner course that teaches SQL skills essential for any data analytics or data science career.

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9.7/10 Highly Recommended

IBM: SQL for Data Science course on EDX — A must-have beginner course that teaches SQL skills essential for any data analytics or data science career.

Pros

  • Excellent beginner-friendly introduction with hands-on practice.
  • Industry-aligned curriculum designed by IBM
  • Highly practical and immediately applicable skill.

Cons

  • Focuses on analysis, not database administration or optimization.
  • Advanced SQL topics (window functions, performance tuning) are lightly covered.

IBM: SQL for Data Science course Course

Platform: EDX

What will you learn in IBM: SQL for Data Science course

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  • Understand how SQL is used to access, manage, and analyze data in databases.

  • Write SQL queries to select, filter, sort, and aggregate data.

  • Work with multiple tables using joins and subqueries.

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  • Perform data analysis tasks directly within relational databases.

  • Apply SQL to real-world data science and analytics scenarios.

  • Build a strong foundation for data analyst and data science roles.

Program Overview

Introduction to Databases and SQL

⏳ 1–2 weeks

  • Learn what databases are and why SQL is essential for data work.

  • Understand tables, rows, columns, and basic database concepts.

  • Write simple SELECT statements to retrieve data.

Filtering, Sorting, and Aggregating Data

⏳ 2–3 weeks

  • Use WHERE, ORDER BY, and LIMIT clauses.

  • Apply aggregate functions such as COUNT, SUM, AVG, MIN, and MAX.

  • Group data using GROUP BY and filter results with HAVING.

Working with Multiple Tables

⏳ 2–3 weeks

  • Learn INNER JOIN, LEFT JOIN, and other join operations.

  • Understand relationships between tables and keys.

  • Use subqueries for more advanced data retrieval.

SQL for Data Analysis

⏳ 2–3 weeks

  • Apply SQL queries to analyze real-world datasets.

  • Perform descriptive analysis directly in databases.

  • Prepare data for visualization and further analytics workflows.

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Job Outlook

  • SQL is a core skill for Data Analysts, Data Scientists, and Business Analysts.

  • Highly востребован across industries including tech, finance, healthcare, and marketing.

  • Forms the backbone of modern data stacks and BI tools.

  • Essential prerequisite for advanced analytics, data engineering, and BI roles.

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