Business & SQL Analytics
Master foundational and advanced database querying, relational modeling, and business intelligence metrics. Learn how to extract actionable business insights, write high-performance SQL scripts, and drive corporate decision-making.
Who Is This Program Ideal For?
Designed for aspiring data analysts, business professionals, and freshers looking to master data-driven problem solving.
Aspiring Data Analysts
Candidates aiming to break into high-growth data analytics, product analytics, and business intelligence roles.
Business & Operations Pros
Professionals looking to transition from traditional Excel reporting to robust SQL databases and automated BI dashboards.
Freshers & Graduates
Graduates wanting to launch rewarding technical careers by mastering core querying languages and KPI tracking.
Core Skills You Will Build
Comprehensive technical mastery across advanced SQL functions, data modeling, performance tuning, and KPI analytics.
Master window functions, common table expressions (CTEs), subqueries, joins, and complex aggregate aggregations.
Design efficient star schemas, snowflake schemas, fact/dimension tables, and enforce relational constraints.
Calculate retention rates, user churn, conversion funnels, CAC, LTV, and MRR using real-world datasets.
Analyze execution plans, optimize index structures, write stored procedures, and speed up slow-running queries.
Curriculum & Modular Syllabus
A structured 5-module progression from database basics to enterprise analytics execution.
- Introduction to RDBMS architecture (PostgreSQL, MySQL, SQL Server)
- DDL, DML, and DQL commands: SELECT, WHERE, GROUP BY, HAVING, and ORDER BY
- Mastering table joins: INNER, LEFT, RIGHT, FULL OUTER, and SELF JOIN operations
- Handling null values, conditional expressions using CASE WHEN, and string/date formatting
- Window functions: ROW_NUMBER(), RANK(), DENSE_RANK(), and NTILE() partitioning
- Value windowing functions: LEAD(), LAG(), FIRST_VALUE(), and running totals
- Common Table Expressions (CTEs), recursive CTEs, and temporary tables
- Correlated subqueries, EXISTS vs. IN operators, and advanced filtering logic
- Customer segmentation and RFM analysis (Recency, Frequency, Monetary)
- Cohort retention analysis and user lifecycle tracking queries
- Conversion funnel drop-off analysis across multi-step user journeys
- Financial and product KPI tracking: Churn, retention, ARPU, and LTV calculation
- Understanding query execution plans (EXPLAIN and EXPLAIN ANALYZE)
- Indexing strategies: B-Tree, Hash, and Composite indexes for query acceleration
- Writing stored procedures, user-defined functions, and database triggers
- Data modeling best practices: Normalization, star schema design, and data integrity
- Connecting SQL databases to visualization tools like Power BI and Tableau
- Building executive summaries and stakeholder reporting pipelines
- Solving common SQL interview questions asked at top product and service firms
- 1-on-1 resume tailoring and mock technical interview evaluations
Real-World Enterprise Capstone Projects
Build portfolio projects simulating real-world corporate analytics challenges.
E-Commerce Customer Behavior & Sales Dashboard
Analyze millions of transaction rows using advanced SQL to uncover high-value customer segments and seasonal trends.
SaaS Subscription Churn & MRR Analysis
Build recursive queries and CTEs to compute monthly recurring revenue retention and identify early churn indicators.
Digital Marketing Multi-Touch Attribution Model
Evaluate ad campaign efficiency and user acquisition paths across multiple web traffic conversion funnels.
Supply Chain Inventory & Fulfillment Audit
Optimize warehouse stocking and delivery timelines by querying logistics databases for operational bottlenecks.
Learner Success & Reviews
See how our alumni transitioned into high-growth analytics and data roles.
"The rigorous SQL problem-solving sessions and real-world business case studies gave me the exact confidence needed to crack my interviews."
"Transitioning from a non-tech background into SQL analytics felt effortless thanks to the structured step-by-step mentoring."
Frequently Asked Questions
Common queries regarding prerequisites, coding requirements, and placement support.
No prior programming background is required. We start from absolute basics and gradually build up to advanced analytical querying.
We primarily use industry-standard PostgreSQL and MySQL databases, which easily translate to SQL Server, Snowflake, and BigQuery.
Yes. We provide 100% placement support, resume optimization, and 1-on-1 technical mock interview sessions tailored for data roles.
Tools & Platforms Covered
Master the core analytics stack used across modern corporate enterprises.
Upgrade Your Skills with Related Tech Tracks
Seamlessly transition into AWS cloud architecture, DevOps automation, and full-stack software development.
Microsoft Azure Solutions
Virtual networks, AKS clusters, ARM templates, Entra ID, and cloud automation.
View Syllabus →Full-Stack Web Development
Build scalable web applications with React, Node.js, Next.js, modern SQL/NoSQL databases, and cloud APIs.
View Syllabus →Java Software Engineering
Master Java 21+, Spring Boot 3 microservices, Kafka event streams, Hibernate JPA, and cloud containerization.
View Syllabus →Generative AI & AI Agents
Master prompt architecture, fine-tuning LLMs, multi-agent swarms, vector retrieval, and custom AI tools.
View Syllabus →DevOps & DevOps with AI
Master CI/CD pipelines, Terraform IaC, Kubernetes, GitOps, and AI-driven automated SRE workflows.
View Syllabus →AWS Cloud & DevOps Architecture
Scalable cloud infrastructure, Docker containerization, Kubernetes clusters, CI/CD pipelines, and Terraform.
View Syllabus →SAP S/4HANA Finance (FICO)
Master general ledger, accounts payable/receivable, asset accounting, and cost controlling in S/4HANA.
View Syllabus →SAP MM (Materials Management)
Learn procurement, inventory management, vendor evaluation, and material valuation processes.
View Syllabus →SAP SD (Sales & Distribution)
Master order-to-cash cycles, pricing procedures, billing, and customer master data management.
View Syllabus →SAP PP (Production Planning)
Learn demand management, MRP, production orders, and shop floor control in S/4HANA.
View Syllabus →SAP EWM (Extended Warehouse Management)
Master warehouse structures, inbound/outbound processes, and advanced storage and picking strategies.
View Syllabus →SAP PS (Project System)
Learn project structuring, WBS elements, network planning, budgeting, and project cost control.
View Syllabus →Microsoft Azure Solutions
Virtual networks, AKS clusters, ARM templates, Entra ID, and cloud automation.
View Syllabus →Full-Stack Web Development
Build scalable web applications with React, Node.js, Next.js, modern SQL/NoSQL databases, and cloud APIs.
View Syllabus →Java Software Engineering
Master Java 21+, Spring Boot 3 microservices, Kafka event streams, Hibernate JPA, and cloud containerization.
View Syllabus →Generative AI & AI Agents
Master prompt architecture, fine-tuning LLMs, multi-agent swarms, vector retrieval, and custom AI tools.
View Syllabus →DevOps & DevOps with AI
Master CI/CD pipelines, Terraform IaC, Kubernetes, GitOps, and AI-driven automated SRE workflows.
View Syllabus →AWS Cloud & DevOps Architecture
Scalable cloud infrastructure, Docker containerization, Kubernetes clusters, CI/CD pipelines, and Terraform.
View Syllabus →SAP S/4HANA Finance (FICO)
Master general ledger, accounts payable/receivable, asset accounting, and cost controlling in S/4HANA.
View Syllabus →SAP MM (Materials Management)
Learn procurement, inventory management, vendor evaluation, and material valuation processes.
View Syllabus →SAP SD (Sales & Distribution)
Master order-to-cash cycles, pricing procedures, billing, and customer master data management.
View Syllabus →SAP PP (Production Planning)
Learn demand management, MRP, production orders, and shop floor control in S/4HANA.
View Syllabus →SAP EWM (Extended Warehouse Management)
Master warehouse structures, inbound/outbound processes, and advanced storage and picking strategies.
View Syllabus →SAP PS (Project System)
Learn project structuring, WBS elements, network planning, budgeting, and project cost control.
View Syllabus →