NOT ANOTHER PRE-RECORDED DATA ANALYST COURSE
CONTENT TEACHES SYNTAX. WE TEACH REAL WORK.
No pre-recorded fluff. Learn how to break and build production systems from scratch through unorthodox, hands-on industry training that actually clears real-world technical rounds.
Associate Data Analyst (Zero Experience)
Excel, Power Query, Power BI & Basic SQL
COHORT 2.0BPO / Non-IT MNC Transition (0–2 Yrs)
Full SQL, Python Fundamentals & Power BI
COHORT 3.0Experienced Professionals (2+ Yrs)
Advanced DAX, Cloud & Databricks
MASTERCLASSSQL - Scratch to Advance
Query Optimization, Indexing & CTEs
MASTERCLASSPower BI Complete Training (PL-300 Focused)
Enterprise Dashboard Design, Modeling & Gateways
Demo Workshop (1.5 Hours | ₹499 INR)
Not sure which cohort fits your background? Join our live 1.5-hour intensive session with Mohd Ghouse.
- Detailed roadmap of Data Analyst vs. BI Engineer roles in top MNCs.
- Live breakdowns of high-stakes technical interview coding rounds.
- Resume review guidelines and Naukri profile optimization tricks.
- Direct Q&A to clear all doubts regarding job transition.
It cuts through market confusion, gives you absolute clarity on whether you need Cohort 1.0, 2.0, or 3.0, and provides immediate frameworks used by enterprise hiring managers before you commit to full training.
Accenture & Cognizant Experience
Built and mentored by top-tier enterprise analytics leaders with real Fortune-500 delivery record across Accenture and Cognizant (7+ Years Experience).
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Delivering elite, production-grade training in Power BI and SQL. Mentoring engineers to solve real-world high-stakes data bottlenecks with absolute technical mastery.
“Any architect can build a multistorey building but only an engineer can optimize the space” - SQLOPTIMIZATION
Live Cohort Modules
Rigorous modules engineered to transform you into an elite data professional with practical industry execution.
Associate Data Analyst - Career Starters (Zero Experience)
Designed for beginners and entry-level professionals seeking to build strong core skills in business analytics, data manipulation, dynamic modeling, and practical query language.
COHORT 1.0 Syllabus Breakdown
Module 1. Microsoft Excel Basics, Data Transformation & Visualization
- Absolute Basics: Essential interface navigation, data entry, basic formatting, standard arithmetic operations, and basic functions (SUM, AVERAGE, COUNT).
- Data Transformation (Pivot/Unpivot): Summarizing data using Pivot Tables and reshaping datasets through pivot and unpivot techniques for structured analysis.
- Excel Visualization: Creating clear visual reports, charts, conditional formatting, and interactive dashboards to present data insights effectively.
Module 2. Data Transformation with Power Query
- ETL Essentials: Extracting data from multiple sources (CSV, Excel, Web, SQL), data cleaning, pivoting/unpivoting, splitting columns, merging, and appending datasets.
- Automated Workflows: Applying custom conditional columns, data type management, and standardizing repeatable data preparation workflows.
Module 3. Data Modeling & Power BI Visualization
- Basics of Data Modeling: Star Schema concepts, Fact vs. Dimension tables, active and inactive relationships, and cardinality (1:N, N:1).
- Dashboard Design & Storytelling: Building clear, interactive Power BI reports using key visual types, visual hierarchy, slicers, custom tooltips, and dynamic filtering.
Module 4. Intermediate SQL for Analytics
- Data Extraction & Filtering: SELECT statements, WHERE clauses, logical operators (AND, OR, IN, BETWEEN, LIKE), ORDER BY, and DISTINCT queries.
- Aggregations & Multi-Table Queries: Grouping data using GROUP BY and HAVING clauses, aggregated summary statistics, and joining tables using INNER, LEFT, and RIGHT JOINs.
BPO or Any Other Non-IT Background Working in MNC (0–2 Experience)
Designed to bridge the gap for BPO professionals and non-IT background workers transitioning into data careers. This track includes fundamental Python programming, SQL, and Power BI.
- ✓ BPO / Customer Support professionals looking to transition out of operations
- ✓ Candidates with zero coding experience or non-IT/non-engineering backgrounds
- ✓ Professionals seeking a high-paying career transition into data analytics
COHORT 2.0 Syllabus Breakdown (SQL, Power BI & Python)
MODULE 1: SQL for Data Analytics (Foundational to Advanced & Performance Tuning)
- 1. Introduction to Data, SQL & Database Concepts: Fundamentals & RDBMS, SQL Sublanguages.
- 2. Data Definition Language (DDL) & Schema Management: Database & Table Management, Integrity Constraints.
- 3. Data Manipulation Language (DML) & Transaction Control (TCL): DML Operations, Transaction Control.
- 4. Operators, Built-in String & Date Functions: Operators & Filtering, String Functions, Date & Time Functions.
- 5. Data Retrieval & Querying (SELECT): Querying Basics, Aggregations & Grouping.
- 6. Joins & Multi-Table Querying: Inner, Left, Right, Full Outer, Cross, and Self Joins.
- 7. Subqueries & Common Table Expressions (CTEs): Subqueries, CTEs, EXISTS & IN Evaluation, Logical Query Execution Order.
MODULE 2: Power BI Fundamentals & Dashboard Design
- Level 1: Prepare the Data: Connect to diverse data sources, profile & clean data, transform & load.
- Level 2: Model the Data: Data model architecture, DAX calculations, model optimization.
- Level 3: Visualize and Analyze Data: Report & visual design, interactivity, advanced analytics & AI.
- Level 4: Manage and Secure Power BI: Workspace administration, security & data refresh (RLS).
MODULE 3: Python Fundamentals
- Introduction to Programming, Basic Syntax & Input/Output, Data Structures & Sequence Management, Control Flow & Logic, Functions & Modularity.
Experienced Professionals Track (2+ Years Experience)
COHORT 3.0 is for 2+ experience professionals, software engineers, and senior analysts looking to master complex data engineering pipelines, large-scale semantic modeling, cloud architecture, and Microsoft Fabric infrastructure.
Designed specifically for professionals with 2+ years of experience looking to scale into senior data engineering, cloud data platforms, and advanced enterprise architectures.
Modules & Technical Curriculum
MODULE 1 : Advanced Power BI, Enterprise DAX & Performance Tuning
- Enterprise Data Architecture & Modeling: Fact and Dimension Tables, Multiple Fact Tables, Snowflake-to-Star transformations, Relationships, Cardinality, Power Query ETL.
- Advanced Data Integration & Ingestion: Multi-source integration, Merge/Append Joins, Query Folding, DAX-to-SQL optimization.
- Advanced Power BI Features: Storage modes (Import, DirectQuery, Composite, DirectLake), Incremental Refresh, RLS & OLS.
- Comprehensive DAX Functions: CALCULATE, Time Intelligence, context transition, iterator functions (SUMX).
- Cloud Integrations: Azure, Databricks, Snowflake, and Amazon Redshift native connectivity, query pushdown, and caching.
MODULE 2: SQL for Data Analytics (Foundational to Advanced & Performance Tuning)
- Core Database Architecture, DDL, DML, Advanced Built-in Functions, Window Functions, Recursive CTEs, Indexing, and Query Performance Tuning.
MODULE 3: Python Fundamentals
- Environment Setup, Control Flow, Pandas DataFrames, EDA, and Visualization.
Fee Structure & Training Packages
Transparent pricing for live cohorts and individual masterclasses with flexible split options.
Associate Data Analyst
5 Weeks | 1 Hr Daily | 1 Project
- ✓ Excel Basics & Visualization
- ✓ Power Query ETL
- ✓ Data Modeling & Power BI
- ✓ Intermediate SQL
BPO / Non-IT MNC
0-2 Years Experience
- ✓ Full SQL to Advanced Analytics
- ✓ Power BI Dashboard Design
- ✓ Python Fundamentals
- ✓ 3 Mock Interviews & Resume Rewrite
Experienced Track
2+ Years Experience
- ✓ Advanced DAX & VertiPaq Tuning
- ✓ Cloud Integrations (Azure, Snowflake)
- ✓ Advanced SQL & Indexing
- ✓ Career Acceleration Package
SQL - Scratch to Advance
Query Optimization, Indexing, CTEs
- ✓ Comprehensive SQL Sublanguages
- ✓ Window Functions & CTEs
- ✓ Execution Plans & Indexing
Power BI Complete Training
Microsoft PL-300 Certification Focused
- ✓ Get Data & Power Query ETL
- ✓ Prepare Data & Data Modeling
- ✓ Visual & Analyze Data
- ✓ Data Gateways & PL-300 Prep
BONUS PACKAGE INCLUDED WITH ALL COHORTS
THREE REAL TIME MOCK INTERVIEWS • RESUME REVIEW • RESUME GUIDANCE • NAUKRI OPTIMIZATION
Everything You Need to Know
Clear answers regarding our live cohorts, split-fee structure, refund policies, and prerequisites.
1. I am from a non-engineering background (B.Com, Nutrition, Arts, Commerce). Can I still enroll and move into IT?
Yes, absolutely! You can join. Our Cohort 2.0 is specifically crafted for graduates and professionals from B.Com, nutrition, arts, commerce, and non-engineering backgrounds with zero prior coding knowledge. We start right from foundational database and programming logic.
2. What is the refund policy?
Strict No-Refund Policy: All fees paid for workshops, masterclasses, and live cohorts (Cohort 1.0, 2.0, and 3.0) are strictly non-refundable under any circumstances once registration or session access is completed.
3. Who is Cohort 3.0 for?
Cohort 3.0 is exclusively tailored for experienced professionals with 2+ years of experience looking to master advanced cloud data architecture, Databricks, Snowflake, and enterprise DAX performance tuning.
4. What happens after I book the ₹499 Demo Workshop?
You will get immediate access to a live 1.5-hour immersive session covering role scope, technical round breakdowns, and resume strategies, plus a direct roadmap consultation with Mohd Ghouse.
5. How does the Split Fee Structure work?
Our split fee structure is designed to make elite training accessible. You can pay in convenient monthly installments aligned with your training timeline (such as 3-month splits for Cohort 2.0 and Cohort 3.0) or reach out to us directly via LinkedIn/Instagram for customized arrangements.