Master Program

Data Analytics with AI Master Program

7 comprehensive modules — Excel, SQL, Power BI, Python, Tableau, Azure & AI — designed to take you from beginner to industry-ready analyst in 3–4 months.

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All-in-One · 7 Modules · AI-Powered

Data Analytics with AI Master Program

The most comprehensive data analytics career program in Hyderabad. Master every tool demanded by top employers — from Excel basics to AI-powered analytics — with hands-on projects, real-world datasets, and dedicated placement support.

Advanced Excel SQL Server Power BI & DAX Python & Pandas Tableau Azure Data Factory AI & Generative AI Real-Time Projects Mock Interviews 100% Job Assistance GitHub & Jira Intro 500+ Interview Q&A
Total Duration
3–4 Months
7 Modules + Bonus
Online
Pan-India
Offline
Hyderabad
Enroll Now 7386981212

Full Curriculum

Module 1: Advanced Excel

Excel Basics, Formatting & Keyboard Shortcuts
Formulas: SUM, IF, VLOOKUP, XLOOKUP, INDEX-MATCH
Text Functions & Date Functions
Pivot Tables & Pivot Charts
Data Cleaning & Validation
What-If Analysis (Scenarios, Goal Seek, Data Tables)
Interactive Business Dashboards in Excel
 Mini Project: Sales Dashboard in Excel

Module 2: SQL Server

Database Fundamentals & RDBMS Concepts
SQL Basics: SELECT, WHERE, GROUP BY, ORDER BY
Joins: INNER, LEFT, RIGHT, FULL, SELF, CROSS
SQL Functions, Subqueries & Set Operators
Window Functions: ROW_NUMBER, RANK, DENSE_RANK, LEAD, LAG, NTILE
CTEs & Temporary Tables
Views, Indexes & Performance Optimization
T-SQL: Stored Procedures, Triggers & User-Defined Functions
SQL Server with AI: ChatGPT & Copilot for SQL
 Mini Project: Retail / Insurance / Banking SQL Analysis

Module 3: Power BI

Power BI Desktop: Data Import, Transform & Load
Power Query & M Language (Column/Row Transformations, Merge, Append)
Data Model: Star & Snowflake Schema, Relationships, Cardinalities
DAX Complete: Date/Time, Text, Logical, Aggregate, Filter, Information, Relationship, Time Intelligence & Table Manipulation Functions
DAX Query View
Power View Visuals: All Native Visuals
Report Creation: Filters, Slicers, Drill Down, Bookmarks & Buttons
Row Level Security (RLS)
Microsoft Fabric: OneLake, Lakehouse, Warehouse, DataFlows Gen2
App Workspace Collaboration & Data Gateways
 Real-Time Projects

Module 4: Python for Data Analytics

Python Fundamentals: Variables, Data Types, Operators, I/O
Control Flow: if-else, Loops (for, while)
Functions & Modules
Data Structures: Lists, Tuples, Sets & Dictionaries
Pandas: Series, DataFrames, Data Cleaning, Manipulation, GroupBy, Merge, Time Series
NumPy for Numerical Analysis
EDA: Descriptive, Diagnostic, Predictive & Prescriptive Analytics
Matplotlib & Seaborn for Visualization
Statistics: Descriptive & Inferential
 Major Project: End-to-End EDA on Real Dataset

Module 5: Tableau

Tableau Interface & Workspace Overview
Dimensions vs Measures & Connecting Data Sources
Visualizations: Bar, Line, Maps, Treemaps, Heatmaps, Scatter Plots
Calculated Fields & Table Calculations
LOD Expressions: FIXED, INCLUDE, EXCLUDE
Dashboard Actions, Filters & Parameters
Story Points & Dashboard Best Practices
 Project: Interactive Tableau Dashboard

Module 6: Azure Data Factory

Cloud & Data Engineering Introduction
ADF Basics: Architecture, Integration Runtime, Linked Services, Datasets & Pipelines
ADF Activities: Copy, Lookup, ForEach, IfCondition, Until, ExecutePipeline, StoredProcedure
Dynamic Pipeline Development: Parameters, Variables & Metadata-Driven Pipelines
Azure SQL Integration & Azure Data Lake / Blob Storage
Data Warehouse & Lakehouse: Star Schema, Medallion Architecture (Bronze / Silver / Gold)
Scheduling, Monitoring & Triggers

Module 7 BONUS AI & Generative AI

AI Introduction: AI vs ML vs DL & Types of AI
Generative AI for Data Analysts
Large Language Models (LLMs) Explained
ChatGPT for Data Analytics
AI Prompt Engineering for Analysts
AI Tools for Reporting & Automation
AI-Assisted Data Cleaning
AI for Dashboard Insights & Storytelling
AI-Powered SQL Query Generation

Bonus: Dev & Agile Tools

Jira – Project & Sprint Management
GitHub – Version Control & Repositories
ServiceNow – IT Service Management
Azure DevOps – CI/CD & Boards
Agile Methodology & Scrum Framework
Ticketing & Documentation Best Practices

What's Included

Daily Practice Tasks
Hands-on exercises for every topic covered in class
Weekly Assignments
Graded assignments to track and reinforce progress
3+ Real-Time Projects
Portfolio-worthy projects using real business datasets
Resume Preparation
Data analyst resume with ATS optimization & LinkedIn profile
Mock Interviews
Simulated technical + HR interview rounds
500+ Interview Q&A
Module-wise curated interview questions & answers bank
100% Job Assistance
Dedicated placement support until you're placed
Completion Certificate
Industry-recognized certificate upon course completion
AI Tools Integration
Hands-on with ChatGPT, Copilot & modern AI tools
GitHub & Jira Intro
Industry-standard dev tools used in agile data teams

Enquire Now

Call or WhatsApp for batch dates, timings, fee details, and demo class booking.

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All 7 Modules

Explore Each Module

Each module is self-contained, project-driven, and taught by industry experts with hands-on practice every session.

Module 1 · Foundation

Advanced Excel

Go beyond basic spreadsheets. Build dynamic dashboards, master lookup functions, and create What-If analyses used in every business domain.

3–4 Weeks
Duration
All Levels
Eligibility

Topics Covered

Excel BasicsSUM / IF / SUMIFSVLOOKUPXLOOKUPINDEX-MATCHText FunctionsDate FunctionsPivot TablesPivot ChartsData CleaningWhat-If AnalysisInteractive Dashboards

You Will Learn To

  • Build automated sales dashboards in Excel from scratch
  • Perform complex lookups using VLOOKUP, XLOOKUP and INDEX-MATCH
  • Clean and transform messy datasets for business reporting
  • Conduct What-If scenario analysis for business decisions
Module 2 · Core Skill

SQL Server

The most essential data skill. Query, transform and analyze data from SQL Server used by enterprises across every industry — now supercharged with AI.

4–5 Weeks
Duration
Beginner+
Level

Topics Covered

SELECT / WHERE / GROUP BYINNER / LEFT / RIGHT JOINsFULL / SELF / CROSS JOINSubqueriesSet OperatorsCTEsTemp TablesViews & IndexesROW_NUMBER / RANKLEAD / LAG / NTILEStored ProceduresTriggers & UDFsT-SQLSQL with ChatGPT

You Will Learn To

  • Write complex analytical SQL queries using joins, CTEs and window functions
  • Solve real business problems with Retail, Insurance and Banking data
  • Build reusable stored procedures, triggers and functions in T-SQL
  • Generate SQL queries with AI assistance using ChatGPT and Copilot
Module 3 · Most In-Demand

Microsoft Power BI

Build stunning dashboards, master DAX end-to-end, and explore Microsoft Fabric for modern analytics at enterprise scale.

6–7 Weeks
Duration
All Levels
Eligibility

Topics Covered

Power BI DesktopPower Query / M LanguageStar / Snowflake SchemaRelationships & CardinalitiesDAX CompleteTime IntelligenceDAX Query ViewNative VisualsDrill Down / BookmarksRow Level SecurityMicrosoft FabricOneLake / LakehouseDataFlows Gen2Data Gateways

You Will Learn To

  • Create professional interactive dashboards for business stakeholders
  • Write advanced DAX calculations including time intelligence measures
  • Design star schema data models for optimal performance
  • Publish, share and collaborate via Microsoft Fabric and App Workspaces
Module 4 · Data Science Ready

Python for Data Analytics

Master Python, Pandas, NumPy, and statistical EDA — the toolkit every modern data analyst needs to extract insights and build analytics pipelines.

5–6 Weeks
Duration
Beginner+
Level

Topics Covered

Python BasicsVariables & Data TypesControl FlowFunctionsLists / Tuples / Sets / DictsPandasDataFrames & SeriesData CleaningGroupBy & MergeTime SeriesNumPyMatplotlibSeabornEDADescriptive StatisticsInferential Statistics

You Will Learn To

  • Perform end-to-end EDA on real business datasets with Pandas
  • Visualize trends and distributions using Matplotlib and Seaborn
  • Apply descriptive and inferential statistics for data-driven insights
  • Build reusable Python scripts for data cleaning and transformation
Module 5 · Visual Analytics

Tableau

Create stunning visual analytics with Tableau's powerful drag-and-drop interface, advanced LOD expressions and interactive dashboard storytelling.

3–4 Weeks
Duration
Intermediate
Level

Topics Covered

Tableau InterfaceDimensions vs MeasuresBar / Line / MapsTreemaps / HeatmapsScatter PlotsCalculated FieldsTable CalculationsFIXED LODINCLUDE / EXCLUDE LODDashboard ActionsFilters & ParametersStory Points

You Will Learn To

  • Build interactive Tableau dashboards with filters, parameters and actions
  • Write LOD expressions for advanced analytical calculations
  • Create compelling data stories using Tableau Story Points
  • Apply best practices for dashboard design and performance
Module 6 · Cloud Engineering

Azure Data Factory

Build cloud-native ETL pipelines on Microsoft Azure. Learn the medallion architecture and master dynamic, metadata-driven pipeline development.

3–4 Weeks
Duration
Intermediate
Level

Topics Covered

ADF ArchitectureIntegration RuntimeLinked ServicesDatasets & PipelinesCopy ActivityLookup / ForEachIfCondition / UntilStoredProcedure ActivityDynamic PipelinesAzure SQLAzure Data LakeBlob StorageBronze / Silver / GoldScheduling & Monitoring

You Will Learn To

  • Design end-to-end data pipelines using the medallion (Bronze/Silver/Gold) architecture
  • Ingest data from multiple sources into Azure Data Lake Storage
  • Build parameter-driven, metadata-controlled dynamic pipelines
  • Monitor, debug and schedule ADF pipelines using triggers
Module 7 · Bonus

AI & Generative AI

Stay ahead of the curve. Learn how AI and GenAI are transforming data analytics — from SQL generation and automated reporting to AI-powered insights and dashboard storytelling.

BONUS
Included Free
All Levels
No Prereq

Topics Covered

AI vs ML vs DLTypes of AIGenerative AI for AnalystsLarge Language ModelsChatGPT for Data AnalyticsPrompt EngineeringAI Reporting ToolsAI AutomationAI Data CleaningAI Dashboard InsightsAI-Powered SQLMicrosoft Copilot

You Will Learn To

  • Use ChatGPT and Copilot to generate and debug SQL queries instantly
  • Automate repetitive reporting tasks using AI tools
  • Apply prompt engineering techniques for better analytical outputs
  • Leverage AI for data cleaning, insight generation and dashboard storytelling
7
Comprehensive Modules
3–4
Months Duration
500+
Interview Q&As
100%
Job Assistance
Free Demo · June 17 · 11:00 AM

Ready to Start Your Data Analytics Career?

Enroll in the Data Analytics with AI Master Program and get 100% job assistance. Free demo class available — no commitment required.

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