Now Aligned To Microsoft Official Curriculum
Accelerate your analytics career with globally aligned certification pathways, enterprise-ready BI skills, and AI-powered analytics workflows
Get Azure ecosystem exposure
Get Azure Data fundamentals exposure
Get Certification preparation support
Learn Next-Generation AI-Assisted Report Generation
Design and implement data pipelines for business analytics
Develop interactive dashboards and reports
Apply analytical techniques to solve business problems
Communicate insights effectively to diverse audiences
Collaborate within cross-functional business teams
Tools & Technologies Covered
Azure , Azure Data fundamentals
Copilot in Power BI
SQL and relational databases
Power BI and/or Tableau
Advanced Excel for analytics
ETL tools and workflows
Version control systems
Data visualization libraries
Enterprise dashboard projects
AI-assisted reporting systems
Executive KPI visualization projects
Certification-oriented analytics projects
Work on real-world projects that mirror current industry challenges:
Sales performance dashboard for a retail chain
Customer churn analysis for a telecom provider
Financial reporting automation for a services company
Market trend analysis and forecasting
Expanded preparation for roles such as:
Business Intelligence Analyst
Reporting Analyst
Power BI Analyst
Analytics Consultant
Data Visualization Specialist
Business Reporting Associate
Analytics Operations Associate
Data Loading
Understanding Data with Statistics
Understanding Data with Visualization
Preparing Data
Data Feature Selection
Classification
Regression
Clustering
Performance Metrics
Improving Performance
Mathematics for Machine Learning
Intro to Tableau Tool
Data Pane Window
Groups, Sets, Parameters
Filters in Tableau
Calculated Fields
Data Blending and Joins
Charts in Tableau
Reference Lines, Bands, Distributions
LOD Expressions
Dashboard Creation (Basic and Advanced)
Tableau Public Server
Introduction to Excel Basics
Commonly Used Excel Functions
Referencing and Named Ranges
Lookup Functions, Nested IF
Advanced Functions
Data Handling, Formatting, Filtering
Data Summarization and Charts
Pivot Tables and Dashboards
Power Query and Power Pivot
Introduction to Automation (Macros and VBA)
Introduction to Databases and SQL Installation
Types of SQL Commands and Data Types
DDL, DML, TCL Commands
Database Constraints
Operators in SQL
Grouping Operations
Ranking and Analytical Functions
Joining Tables
Views and Triggers
Subqueries
Indexing and Sequence Objects
Stored Procedures
Power BI Introduction
Data Sources and Views
Data Cleaning with Power Query Editor
Data Modeling
Power BI Desktop Visualizations
Custom DAX Table Creation
Basic and Advanced DAX Expressions
Integration with SQL
Power BI Services
Publishing, Sharing, Scheduled Refresh of Reports
Advanced DAX Functions
Bookmarks and Row-Level Security (RLS)
SQL Integration with Power BI
Introduction to Power BI Services
Copilot in Power BI
Copilot Capabilities
Data Readiness
The Modern Analyst Workflow
Operational vs. Analytical Data:
* OLTP (Online Transaction Processing): Transactional workloads, ACID properties (Atomicity, Consistency, Isolation, Durability).
OLAP (Online Analytical Processing): Analytical workloads, data warehousing, and reporting architectures.
Batch vs. Streaming Data:
Differences between processing data in latency-tolerant blocks (Batch) versus processing continuous, real-time data streams.
Relational Database Core Concepts:
Tables, rows, columns, primary/foreign keys, indexes, and database normalization.
Azure Relational Database Services
Management Tasks:
Provisioning, basic security (firewalls, encryption, authentication), and connectivity.
Non-Relational Data Models:
Key-value pairs, document databases, column-family databases, and graph databases.
Azure Cosmos DB:
Global distribution, multi-model support, APIs (NoSQL, MongoDB, Gremlin, Cassandra, Table), and consistency levels.
Azure Storage for Non-Relational Data:
Azure Blob Storage:
Object store for unstructured data.
Data Warehousing Architecture:
Traditional ETL (Extract, Transform, Load) vs. modern ELT pipelines.
Azure Synapse Analytics:
Unified analytics service combining SQL data warehousing, big data (Apache Spark), and data integration (pipelines).
Azure Databricks:
Apache Spark-based analytics platform.
Azure HDInsight:
Managed open-source analytics (Hadoop, Spark, Hive, Kafka).
Azure Data Factory:
Cloud data integration service to orchestrate and automate data movement and transformation.
ML Developer
Category Growth Analyst
Internal Audit Data Analyst, Grade Asst Manager
Scholar Trainee - WILP
Technical Consultant
Jr. Data Analyst
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