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SQL for Business Analytics & Data Analysis: 200 Practice Q&A

SQL for Business Analytics & Data Analysis: 200 Practice Q&A

Himanshu Kaushik★4.7 rating13382 enrolled

SQL for Business Analytics & Data Analysis: 200 Practice Q&A – taught by Himanshu Kaushik – is a hands‑on Udemy course that lets you master SQL for real‑world business scenarios. If you search for a free SQL course, SQL Udemy course, or learn SQL online, this updated (July 2026) offering appears at the top of the results. The course focuses on practical query writing, data‑driven decision making, and preparation for analyst‑level certifications, making it ideal for anyone who needs to turn raw data into actionable insights.


What You'll Learn

  • Build complex SELECT statements that filter, sort, and join sales, customer, and inventory tables.
  • Master GROUP BY, HAVING, and aggregate functions to calculate revenue, profit margins, and KPI trends.
  • Learn how to write subqueries and Common Table Expressions (CTEs) for modular, reusable SQL logic.
  • Understand window functions and ranking techniques to perform time‑series and cohort analysis.
  • Create CASE‑based logic for conditional reporting and data cleaning in business analytics projects.
  • Implement date and string functions to prepare data for dashboards in Power BI or Excel.
  • Analyze real‑world business problems through 200 multiple‑choice questions with detailed explanations.
  • Apply best practices for SQL performance tuning to ensure fast query execution on large datasets.

Course Details

  • Instructor: Himanshu Kaushik
  • Rating: 4.7 stars
  • Enrolled students: 13,382
  • Level: Beginner → Intermediate
  • Language: English (en‑US)
  • Last updated: July 2026
  • Certificate: Yes, upon completion
  • Includes: Lifetime access, mobile‑friendly videos, downloadable practice files

What This Course Covers

Fundamentals of SQL for Business Analytics

  • SELECT statements, WHERE clauses, and ORDER BY for basic data retrieval.
  • Filtering techniques using logical operators and pattern matching.
  • Introduction to relational concepts and data types relevant to business data.

Data Aggregation & Grouping

  • GROUP BY syntax and HAVING filters for segmenting sales and customer data.
  • Aggregate functions (SUM, AVG, COUNT, MIN, MAX) applied to financial and inventory metrics.
  • CASE statements for conditional calculations such as profit categories.

Advanced Query Techniques

  • Subqueries and nested SELECTs for multi‑step data extraction.
  • Common Table Expressions (CTEs) to simplify complex joins and recursive queries.
  • Window functions (ROW_NUMBER, RANK, LAG, LEAD) for trend analysis and ranking.

Business Analytics Applications

  • Sales analytics: revenue growth, top‑performing products, and territory performance.
  • Customer analytics: churn detection, lifetime value, and segmentation.
  • Inventory analytics: stock turnover, reorder points, and safety stock calculations.
  • Financial analytics: profit‑and‑loss statements, expense tracking, and budgeting.

Performance & Optimization

  • Indexing basics and query plan interpretation for faster execution.
  • Techniques for handling NULLs and avoiding common pitfalls in data cleaning.
  • Best practices for writing readable, maintainable SQL code in enterprise environments.

Who Should Take This Course

  • Aspiring Business Analysts who need to query relational databases daily.
  • Data Analysts and MIS professionals preparing for interview‑style SQL assessments.
  • MBA or Business Analytics students seeking practical SQL practice for case studies.
  • Power BI and Excel users who want to embed SQL queries into their reporting workflows.
  • Working professionals in sales, finance, or operations looking to strengthen data‑driven decision‑making skills.

Prerequisites

  • No prior experience needed — this course is beginner‑friendly.
  • Basic familiarity with spreadsheets (Excel or Google Sheets) is helpful but not required.
  • Recommended: a willingness to practice SQL queries on a local or cloud‑based database (e.g., MySQL, PostgreSQL).

Why Enroll in This Course

The course delivers 200 curated practice questions that simulate real‑world analyst tasks, allowing you to test and reinforce your SQL knowledge instantly. A free coupon provides 100 % off for a limited time, making the learning experience truly cost‑free while the content remains up‑to‑date as of July 2026. Compared with generic tutorials, this training focuses on business‑centric scenarios, ensuring you can apply SQL directly to sales, finance, and operational data the moment you finish.


Course Highlights

  • Lifetime access to all video lessons and practice files, so you can revisit concepts anytime.
  • Self‑paced learning that fits around a full‑time job or study schedule.
  • Certificate of completion that can be added to LinkedIn or a résumé.
  • 200 multiple‑choice questions with detailed explanations to solidify understanding.
  • Mobile‑friendly platform lets you practice SQL on the go via the Udemy app.
  • Practical business scenarios covering sales, inventory, finance, and marketing analytics.

Frequently Asked Questions

Q: Is this course really free?
A: Yes. By applying the current free coupon, you can enroll at 0 USD for a limited period. The coupon covers the entire course price, giving you full access without any hidden fees.

Q: What will I learn in this SQL course?
A: You will learn core SQL commands, advanced functions such as window and CTEs, and how to apply them to business analytics tasks like sales performance, customer segmentation, and financial reporting. The 200 practice questions reinforce each concept with real‑world examples.

Q: Do I get a certificate after completing this course?
A: Absolutely. Udemy issues a downloadable certificate of completion once you finish all lectures and pass the practice assessments, which you can showcase on professional profiles.

Q: Is this course suitable for beginners?
A: The curriculum starts with fundamentals and gradually introduces more complex topics, making it ideal for beginners as well as intermediate analysts who need structured practice.

Q: How long do I have to enroll for free?
A: The free coupon is available for a limited time, typically a few weeks from when you view the offer. Enroll as soon as possible to guarantee the 100 % discount before the coupon expires.


Final Thoughts

SQL for Business Analytics & Data Analysis: 200 Practice Q&A equips beginners and aspiring analysts with the exact SQL skills needed to extract insights from business data. Enroll now, claim the free coupon, and start turning raw tables into strategic decisions today.