

senior dataanalyst
Senior data analyst
Training Highlights
✅ SQL Server (T-SQL) from Beginner to Advanced
✅ Power BI with AI & Microsoft Copilot
✅ Tableau Desktop & Tableau Server
✅ 1:1 Expert Mentorship
✅ Mock Interviews & Interview Guidance
✅ Job Assistance & Placement Support
✅ 1 End-to-End Enterprise Projects
Modules We Learn
✅ Module 1: SQL Server (T-SQL) (MS SQL) Queries
✅ Module 2: Power BI with AI, Copilot
✅ Module 3: TABLEAU
✅ Module 4: Realtime Projects (ECommerce & Banking)
Course Duration: 3 Months
Ch 1: Data Analyst Job Roles
Ch 2: Database Intro & Installations
Ch 3: SQL Basics V1 (Commands)
Ch 4: SQL Basics V2 (Commands, Operators)
Ch 5: Data Types
Ch 6: Excel Data Imports
Ch 7: Schemas & Batches
Ch 8: Constraints, Keys & RDBMS – Level 1
Ch 9: Normal Forms & RDBMS – Level 2
Ch 10: Joins & Queries
Ch 11: Views & RLS
Ch 12: Stored Procedures
Ch 13: User Defined Functions
Ch 14: Triggers & Automations
Ch 15: Transactions & ACID
Ch 16: CTEs & Tuning
Ch 17: Indexes Basics, Tuning
Ch 18: Group By Queries
Ch 19: Joins with Group By
Ch 20: Sub Queries
Ch 21: Cursors & Fetch
Ch 22: Window Functions, CASE
Ch 23: Merge(Upsert) & CASE, IIF
Ch 24: Realtime Case Studies
Ch 1: Power BI Intro, Installation
Ch 2: Report Design Concepts
Ch 3: Visual Interactions, PBIT
Ch 4: Grouping, Hierarchies
Ch 5: Slicer & Visual Sync
Ch 6: Hierarchies & Drill-Down
Ch 7: Filters & Drill Thru
Ch 8: Bookmarks, Buttons
Ch 9: SQL DB Access & Big Data
Ch 10: Power BI Visualizations
Ch 11: Power Query Introduction
Ch 12: Power Query: Table Transformations
Ch 13: Power Query: Column Transformations
Ch 14: Power Query: Text, Date Transformations
Ch 15: Power Query: Parameters, Expressions
Ch 16: Power BI Cloud & Fabric
Ch 17: Power BI Cloud Deployments
Ch 18: Power BI Cloud Dashboards
Ch 19: Power BI Cloud Operations
Ch 20: Power BI Cloud Gateways
Ch 21: Power BI Cloud Apps
Ch 22: Power BI Report Server
Ch 23: Paginated Reports
Ch 24: DAX Concepts (Basics)
Ch 25: DAX Quick Measures
Ch 26: Data Modelling, DAX
Ch 27: DAX Joins, Variables
Ch 28: DAX Models & Calculations
Ch 29: DAX Time Intelligence
Ch 30: DAX – Row Level Security
Ch 31: KPI Design
Ch 32: Analytical Reports & AI
Ch 33: Analytical Reports & AI – 2
Ch 34: Analytical Reports & AI – 3
Ch 35: PL-300 Exam Guidance
CH 1: TABLEAU INTRO, INSTALLATION
CH 2: TABLEAU ARCHITECTURE
CH 3: TABLEAU INTRO, INSTALLATION
CH 4: TABLEAU REPORTS & JOINS
CH 5: TABLAU REPORT DESIGN
CH 6: BIG DATA ACCESS, BLENDING
CH 7: TABLEAU CALCULATIONS
CH 8: STRING, DATE FUNCTIONS
CH 9: TABLE CALCULATIONS
CH 10: LOD CALCULATIONS
CH 11: TABLEAU VISUALIZATIONS – 1
CH 12: TABLEAU VISUALIZATIONS – 2
CH 13: TABLEAU FILTERS
CH 14: PARAMETERS, SETS
CH 15: TABLEAU FORECASTS, ACTIONS
CH 16: DASHBOARDS & STORIES
CH 17: Tableau Prep
CH 18: TABLEAU SERVER
CH 19: COLLOBORATE TABLEAU ONLINE
CH 20: MANAGE TABLEAU SERVER

This course is ideal for data analysts, BI developers, Excel/SQL professionals, and freshers with basic analytical skills who want to move into a senior analytics role by mastering SQL, Power BI, and Tableau together.
The course runs for 3 months and covers 4 modules — SQL Server (T-SQL), Power BI with AI & Copilot, Tableau, and a Realtime Enterprise Project.
No prior experience is required. The course starts from SQL Server basics (Ch 1–2) and progressively builds up to advanced topics like DAX, Power Query, and Tableau Server administration.
You’ll learn SQL Server (T-SQL), Power BI (including AI, Microsoft Copilot, DAX, Power Query, and Cloud deployments), and Tableau Desktop & Server — a rare combination that most institutes teach separately.
Yes, Module 4 includes an end-to-end Enterprise Project covering a healthcare domain business case, with deliverables like Tableau workbooks, SQL scripts, a Business Requirement Document (BRD), KPI documentation, and resume points.
Yes — the program includes mock interviews, resume optimization, LinkedIn optimization, ATS-friendly resume building, salary negotiation guidance, interview strategy, and job assistance/placement support.
This module covers standard Power BI reporting plus AI-driven features like Key Influencers, Decomposition Tree, Smart Narrative, Anomaly Detection, Forecasting, and Microsoft Copilot integration — along with PL-300 exam guidance.




