Business & SQL Analytics
Transform raw transactional tables into high-impact corporate strategy. Master advanced analytical SQL, window aggregations, CTEs, cohort retention analysis, executive Power BI & Tableau dashboards, and data-driven product growth metrics.
Who Is This Program Ideal For?
Structured for professionals and freshers looking to build elite decision-making and quantitative analytics capabilities.
Aspiring Data Analysts
Freshers or career switchers aiming for high-growth Business Analyst, Product Analyst, or SQL Developer roles.
MIS & Excel Pros
Professionals hitting limits with spreadsheets who want to transition into database querying and scalable BI pipelines.
Product & Growth Leads
Managers and marketers who want to query production SQL databases directly to evaluate retention, CAC, and LTV.
What You Will Master
Designed around practical enterprise problem-solving using SQL, advanced data modeling, and business KPI architecture.
Master Window functions (RANK, DENSE_RANK, LEAD/LAG), CTEs, Recursive queries, and subquery optimization.
Calculate Monthly Recurring Revenue (MRR), Churn Rates, User Cohort Retention, and Marketing Attribution.
Design Kimball dimensional models, Star/Snowflake schemas, Fact/Dimension tables, and primary/foreign key constraints.
Connect SQL databases directly to Power BI and Tableau for interactive parameter controls and drill-down reporting.
Curriculum & Weekly Syllabus
Comprehensive modular breakdown tailored for real-world enterprise analytics.
- RDBMS Fundamentals: PostgreSQL & MySQL architecture and table constraints
- DDL, DML, DQL: Writing robust SELECT, WHERE, GROUP BY, and HAVING statements
- Mastering JOINS: INNER, LEFT, RIGHT, FULL OUTER, CROSS, and SELF JOINS
- Aggregate functions, conditional logic with CASE WHEN, and NULL handling (COALESCE/NULLIF)
- Window Functions: ROW_NUMBER(), RANK(), DENSE_RANK(), and NTILE() partitioning
- Value Windowing: LEAD(), LAG(), FIRST_VALUE(), and running rolling moving averages
- Common Table Expressions (CTEs) vs. Subqueries vs. Temporary Tables
- String parsing, Regex pattern matching, and complex Date/Time interval arithmetic
- Cohort Analysis: Calculating retention rates and user lifecycle churn tables
- RFM Analysis (Recency, Frequency, Monetary) for customer lifetime segmentation
- Funnel Analysis: Tracking multi-step user drop-offs from signup to checkout conversion
- A/B Testing Analytics: SQL calculations for p-values, hypothesis tests, and statistical power
- Understanding Query Execution Plans (EXPLAIN & EXPLAIN ANALYZE)
- Indexing strategies: B-Tree, Hash, Composite Indexes, and covering indexes
- Partitioning strategies: Range, List, and Hash table partitioning for million-row datasets
- Writing stored procedures, user-defined functions (UDFs), and database triggers
- Connecting live database servers to Power BI & Tableau via DirectQuery
- Writing DAX measures, calculated columns, and dimensional star modeling
- Building C-level KPI summary boards with real-time refresh automations
- Publishing and sharing secure enterprise dashboard workspaces
Real-World Business Capstones
Solve actual production business problems and present clean SQL scripts and executive dashboards.
SaaS Churn & MRR Waterfall Analysis
Write advanced CTEs tracking expansion, contraction, and net churn revenue across 100k+ customer subscription records.
E-Commerce Multi-Touch Attribution
Construct SQL models attributing marketing spend across first-click, last-click, and linear touchpoints for digital ad campaigns.
Supply Chain Inventory Optimization
Build automated stock replenishment queries calculating reorder points, safety stock, and vendor delivery lead-time variances.
Executive Financial Health Dashboard
Deploy a live Power BI report integrated with PostgreSQL presenting margin analysis, EBITDA tracking, and departmental burn rates.
Learner Success & Reviews
See how our alumni transitioned into high-growth analytics roles after completing this business track.
"The hands-on SQL query assignments and business case studies gave me practical confidence during technical assessment rounds."
"From basic spreadsheet reports to writing recursive SQL queries and building automated Power BI models. Exceptional mentorship!"
Frequently Asked Questions
Quick answers to common questions regarding batches, databases, and placement guidance.
No prior coding background is needed. We start from foundational database queries and progress step-by-step into advanced analytical SQL and BI visualization.
We primarily use standard ANSI SQL on PostgreSQL and MySQL, which easily translates to Microsoft SQL Server, Snowflake, and BigQuery.
Yes, we conduct 50+ live SQL whiteboard drills, take-home case study walkthroughs, and 1-on-1 mock technical interview evaluations.
Tools & Database Ecosystem Covered
Master the standard analytics stack deployed across modern enterprises.