What will you learn in Practical Data Analysis with SQL Course
Perform practical data analysis using SQL on real-world datasets
Write advanced SQL queries using
JOIN,GROUP BY,CASE, and window functionsAnalyze trends, patterns, and KPIs directly from relational databases
Build SQL workflows for business reporting and data-driven decision making
Understand common data analyst tasks like cohort analysis, funnel tracking, and A/B test evaluations
Gain the SQL proficiency needed for data analyst and business intelligence roles
Program Overview
Module 1: Foundations of SQL for Analysis
⏳ 0.5 week
Topics: SELECT, WHERE, ORDER BY, filtering data
Hands-on: Query sample datasets to extract and sort key information
Module 2: Aggregation & Grouping
⏳ 0.5 week
Topics: GROUP BY, COUNT, SUM, AVG, HAVING clauses
Hands-on: Analyze sales, revenue, or user engagement data
Module 3: Working with Multiple Tables
⏳ 1 week
Topics: JOIN types, merging datasets, relational keys
Hands-on: Perform multi-table joins to build comprehensive reports
Module 4: Advanced SQL Logic
⏳ 1 week
Topics: CASE statements, nested queries, window functions
Hands-on: Create running totals, ranks, and segmented summaries
Module 5: Real-World Analysis Projects
⏳ 1 week
Topics: Cohort analysis, retention curves, funnel analysis
Hands-on: Use SQL to build dashboards and track business KPIs
Module 6: Optimization & Best Practices
⏳ 0.5 week
Topics: Query optimization, clean code, indexing basics
Hands-on: Refactor complex queries for performance and clarity
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Job Outlook
SQL remains a top skill for data analysts, business analysts, and BI developers
Roles requiring SQL include Data Analyst, Product Analyst, Marketing Analyst, and Data Engineer
High demand across industries like tech, finance, e-commerce, and healthcare
Average salary range: $70,000–$120,000 with strong growth in data-centric roles
Specification: Practical Data Analysis with SQL Course
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FAQs
- Teaches hands-on SQL skills used in real-world data analysis tasks.
- Covers key metrics, KPIs, and reporting techniques for business decisions.
- Provides exercises with real datasets to build a portfolio.
- Prepares learners for interviews with practical querying and analysis tasks.
- Equips students with skills applicable across multiple industries like tech, finance, and e-commerce.
- Covers JOINs, GROUP BY, CASE statements, and window functions.
- Teaches nested queries and running totals for complex reporting.
- Provides hands-on exercises to analyze sales, retention, and funnel data.
- Explains optimization techniques for faster queries.
- Encourages using advanced SQL for comprehensive business insights.
- Designed for beginners but basic familiarity with SQL helps.
- Starts with foundational concepts like SELECT, WHERE, and ORDER BY.
- Gradually progresses to multi-table joins and advanced functions.
- Offers interactive exercises to practice each concept.
- Helps learners transition smoothly from basic queries to professional analysis.
- Provides hands-on projects using realistic business datasets.
- Teaches techniques for cohort analysis, funnel tracking, and retention analysis.
- Covers creating dashboards and structured reports with SQL.
- Encourages building workflows for business reporting and decision-making.
- Prepares learners to extract insights from relational databases efficiently.
- Teaches indexing basics and query optimization strategies.
- Provides tips for refactoring complex queries for speed and clarity.
- Covers best practices for maintainable and efficient SQL code.
- Encourages testing and validating queries for accuracy and performance.
- Helps learners work with large datasets without slowing down analysis.
