THE PROGRAM
Build Practical SQL Skills
Progress from PostgreSQL setup and core statements to joins, subqueries, functions, performance tuning and access control.
Watch Time | Validity1.5× Views | 6 Months
What You’ll Learn
Analyse Data Using SQL
Build the SQL skills that power faster, more confident data analysis in any finance or analytics role.
SQL Fundamentals
Master the art of extracting insights from complex datasets, making you an indispensable asset in any professional environment.
Filtering & Ordering
Learn the principles of efficient database design to create robust systems that boost application performance.
Aggregation & Grouping
Gain hands-on experience in solving real-world business scenarios, enhancing your problem-solving skills.
Joins & Subqueries
Use SQL to turn raw data into actionable insights, showcasing your ability to contribute strategically to decision-making.
Functions & Conversion
Become a guardian of information with expertise in SQL security protocols, ensuring robust protection against unauthorized access.
Views, Indexes & Access
SQL mastery opens doors to roles in data analysis, database administration, and business intelligence, providing a versatile career trajectory.
Hello there, we are Abhishek Bansal & Pukhraj Parikh.
Course Outline
Detailed Curriculum
Twenty core chapters covering PostgreSQL setup, queries, joins, functions, indexes and access control, supported by practice exercises and bonus lessons.
Lets recap
Everything Included in the SQL Course
A structured learning path from SQL fundamentals to advanced database operations.
9 Hours of Learning
Learn through structured, recorded lessons.
Twenty Structured Chapters
Progress from setup to access control.
Queries & Aggregation
Filter, group and summarise structured data.
Umang Palan
For Successfully CompletingSQL Masterclass: SQL for Data Analyticson camonk.com
12 Oct 2026
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Earn an Industry-Recognized CA Monk Workshop/Masterclass Certificate
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FAQs
Frequently Asked Questions
Need more help? Email us at [email protected] or call us at +91 90227 20882.
