

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 Project
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
📊 Project 1: Power BI Enterprise Project
Retail Sales & Executive Business Intelligence Dashboard
🏥 Domain
Healthcare
Business Problem
Hospital management wants to monitor patient admissions, doctor performance, operational efficiency, treatment outcomes, revenue, and resource utilization using interactive dashboards.
Data Sources
Deliverables
🎯 Career Guidance
Learning Outcomes
After completing these projects, learners will be able to:





