AI-Powered Data Analyst Training — 12 Weeks
A complete end-to-end Data Analytics curriculum — from Excel to Python EDA — built for beginners and career-switchers.
MOST POPULAR • 20 Seats ONLY
Program Fee
₹3,899
₹1,799
You save ₹2,100 — 54% OFF
One-time payment · No hidden charges
Tech Stack You'll Learn
Excel (with AI)
SQL
Power BI
Python
Pandas
NumPy
Excel (with AI)
SQL
Power BI
Python
Pandas
NumPy
Matplotlib
Seaborn
Last Date to Register 30th October 2026 — New Batch Starting 02nd November 2026
How It Works
Program Overview
Mode
OnlineLive + Recorded
Daily Hours
2 HoursMon – Fri
Saturdays
Doubt Session+ Assessment
Batch Size
20 SeatsLimited — Filling Fast
Start Date
02 Nov 2026New Batch
Certificate
Verified Training CerificateOn Completion
Week-by-Week
Program Structure
Week 1 & 2 — Excel (with AI)
From fundamentals to dashboards — Pivot Tables, VLOOKUP/XLOOKUP, AI Copilot, data cleaning, and a complete dashboard project.
Week 3 & 4 — SQL
Database fundamentals, queries, joins, aggregate functions, subqueries, and a complete end-to-end SQL project.
Week 5 & 6 — Python Programming
Python fundamentals, data structures, functions, file handling, OOP concepts, and problem-solving exercises.
Week 7 & 9 — Python for EDA & Data Visualization
Pandas, NumPy, Matplotlib, Seaborn, exploratory data analysis (EDA), and AI-powered data insights.
Week 9 & 10 — Power BI
Interactive dashboards, DAX, Power Query, storytelling, and business intelligence reporting.
Week 11 & 12 — Industry-Level Projects
Build two real-world industry projects by applying Excel, SQL, Python, and Power BI to business case studies.
Included
What You Get
Program Information
Everything included as part of your training journey.
Industry-Oriented Curriculum — designed to match current industry requirements
Complimentary Live Bootcamps — exclusive workshops to strengthen your practical skills
Complete Job Profile Setup — LinkedIn, Naukri, Indeed and other job portals
Professional Resume Building — optimized resume templates and hands-on resume creation to help you stand out
Interview Preparation — mock interviews, topic-wise interview questions, and scenario-based practice exercises for every module
Access to LMS Portal — Lifetime access to QuadSync Tech Solution's LMS Portal
Certificates & Benefits
Awarded on successful completion of the program.
Verified Training Certificate — awarded on successful completion of all 12 Weeks + final project
Internship Certificate — issued on successful completion of the internship component
Letter of Recommendation (LOR) — awarded based on performance
Daily Practice & Assignments — daily practice sessions, interview questions, and weekly assignments to reinforce learning
Recorded sessions — lifetime access to all class recordings
100% Placement Support — resume building and job application guidance (Not Placement Assistance)
Curriculum
Complete 12-Week Syllabus
Week 1-2 Excel with AI → Weeks 3-4 SQL → Weeks 5-9 Python + EDA + Visualization → Weeks 9-10 Power BI → Weeks 11-12 Capstone Project (2 Industry Projects)
Week 1-2
Excel (with AI)
| Chapter | Topic | Week |
|---|---|---|
| Ch. 1 | Excel Basics – Interface, Ribbon, Shortcuts, Data Entry, Cell Referencing, Basic Formulas (SUM, AVERAGE,COUNT, MIN, MAX) | Week 1 |
| Ch. 2 | Formatting & Excel Essentials – Cell Formatting, Conditional Formatting, Data Validation, Sort, Filter & Tables | Week 1 |
| Ch. 3 | Data Cleaning – Remove Duplicates, TRIM, CLEAN, Flash Fill, Text to Columns, Find & Replace | Week 1 |
| Ch. 4 | Logical & Text Functions – IF, IFS, AND, OR, IFERROR, LEFT, RIGHT, MID, LEN, CONCAT & TEXTJOIN | Week 1 |
| Ch. 5 | Statistical, Date & Lookup Functions – COUNTIF, SUMIF, AVERAGEIF, RANK, TODAY, DATEDIF, VLOOKUP, XLOOKUP, INDEX & MATCH | Week 1 |
| Ch. 6 | Pivot Tables & Dashboards – Pivot Tables, Pivot Charts, Grouping, Slicers, Timelines, KPI Cards, InteractiveDashboards & Report Design | Week 2 |
| Ch. 7 | Excel with AI – Microsoft Copilot, Analyze Data, AIFormula Generation, ChatGPT for Excel & AI Dashboards | Week 2 |
| Ch. 8 | 📊 Project — Full AI-Assisted Excel Dashboard on a Real Business Dataset | Week 2 |
Week 3-4
SQL
| Chapter | Topic | Week |
|---|---|---|
| Ch. 1 | SQL Basics – Introduction, DBMS vs RDBMS, MySQLSetup, Creating Databases & Tables | Week 2 |
| Ch. 2 | CRUD Operations – CREATE, INSERT, SELECT, UPDATE & DELETE | Week 2 |
| Ch. 3 | Keys & Constraints – Primary Key, Foreign Key, Unique, NOT NULL, CHECK, DEFAULT & ALTER | Week 3 |
| Ch. 4 | Filtering & Sorting – WHERE, Operators, ORDER BY, LIMIT, DISTINCT & Aliases | Week 3 |
| Ch. 5 | SQL Functions – String, Numeric, Date, AggregateFunctions & GROUP BY, HAVING | Week 3 |
| Ch. 6 | CASE Expressions & Conditional Queries | Week 3 |
| Ch. 7 | Joins – INNER, LEFT, RIGHT, FULL, SELF & CROSSJOIN | Week 3 |
| Ch. 8 | Window Functions – ROW_NUMBER(), RANK(), DENSE_RANK(), LEAD(), LAG(), PARTITION BY | Week 4 |
| Ch. 9 | Set Operations & Advanced Queries – UNION, UNIONALL, INTERSECT, EXCEPT, Subqueries & CTEs | Week 4 |
| Ch. 10 | Pivot & Unpivot, Views, Indexes & Query OptimizationBasics | Week 4 |
| Ch. 11 | SQL with AI – ChatGPT for SQL, AI Query Generation, Query Optimization, AI Data Analysis | Week 4 |
| Ch. 12 | 🗄️ Project — End-to-End SQL Analysis on a Real Business Dataset | Week 4 |
Week 5-9
Python + EDA + Visualization + Visualization
| Chapter | Topic | Week |
|---|---|---|
| Ch. 1 | Python Basics – Installation, Variables, Data Types, Input/Output & Basic Syntax | Week 5 |
| Ch. 2 | Operators, User Input, Type Casting, Expressions &Decision Making | Week 5 |
| Ch. 3 | Conditional Statements – if, elif, else, Nested Conditions& Logical Operators | Week 5 |
| Ch. 4 | Loops – for, while, break, continue, Nested Loops &Loop Control | Week 5 |
| Ch. 5 | Strings – String Methods, Indexing, Slicing, Formatting& String Operations | Week 5 |
| Ch. 6 | Collections – Lists, Tuples, Sets, Dictionaries, Modules& Built-in Functions | Week 6 |
| Ch. 7 | Functions – User-Defined Functions, Lambda, Recursion, Scope & Function Arguments | Week 6 |
| Ch. 8 | File Handling, Exception Handling, Packages &Working with Files | Week 6 |
| Ch. 9 | Object-Oriented Programming – Classes, Objects, Inheritance, Polymorphism & Virtual Environments | Week 6 |
| Ch. 10 | 🐍 Project – Build a Real-World Python Application usingCore Python Concepts | Week 6 |
| Ch. 11 | NumPy Basics – Arrays, Indexing, Slicing, Reshaping &Mathematical Operations | Week 7 |
| Ch. 12 | NumPy Advanced – Broadcasting, Aggregation, Statistics, Random Module & Linear Algebra | Week 7 |
| Ch. 13 | Pandas Basics – Series, DataFrames, Import/Export, Indexing & Selection | Week 7 |
| Ch. 14 | Pandas Advanced – Data Cleaning, Missing Values, Filtering, GroupBy, Merge & Pivot Tables | Week 7 |
| Ch. 15 | Matplotlib – Line, Bar, Pie, Scatter, Histogram & ChartCustomization | Week 8 |
| Ch. 16 | Seaborn – Statistical Plots, Heatmaps, Pair Plots, BoxPlots & Correlation Analysis | Week 8 |
| Ch. 17 | Exploratory Data Analysis (EDA) – Data Cleaning, Descriptive Statistics, Outlier Detection & FeatureAnalysis | Week 8 |
| Ch. 18 | Data Visualization – Dashboards, Interactive Charts, KPI Visualization & Data Storytelling | Week 8 |
| Ch. 19 | Python with AI – ChatGPT for Python, AI CodeGeneration, Prompt Engineering & AI Insights | Week 8 |
| Ch. 20 | 🐍 Project – Build a Real-World Data Analytics Projectusing Python, NumPy, Pandas, Matplotlib, Seaborn &AI | Week 9 |
Week 9-10
Power BI
| Chapter | Topic | Week |
|---|---|---|
| Ch. 1 | Power BI Basics – Installation, Interface, Data Sources, Import Data & Power BI Workflow | Week 9 |
| Ch. 2 | Data Transformation – Power Query Editor, DataCleaning, Shaping, Merging & Appending Data | Week 9 |
| Ch. 3 | Formatting & Visuals – Report Formatting, Themes, Tables, Cards & Basic Visualizations | Week 9 |
| Ch. 4 | Charts & Visualizations – Waterfall, Funnel, Scatter, Treemap, Gauge, Line, Pie, Maps, Matrix, KPI Cards & Custom Visuals | Week 9 |
| Ch. 5 | DAX Fundamentals – Calculated Columns, Measures, Variables & Common DAX Functions | Week 10 |
| Ch. 6 | Advanced DAX – CALCULATE, FILTER, TimeIntelligence, Ranking & Context Functions | Week 10 |
| Ch. 7 | Data Modeling – Relationships, Star Schema, Hierarchies, Drill Down, Drill Through & Tooltips | Week 10 |
| Ch. 8 | Interactive Dashboards – Slicers, Bookmarks, Selections, Navigation Buttons, Report Design &Dashboard Optimization | Week 10 |
| Ch. 9 | Power BI Service – Publishing, Sharing, Workspaces, Scheduled Refresh, Collaboration & Row-LevelSecurity (RLS) | Week 10 |
| Ch. 10 | 📉 Project – Build an Interactive Dashboard using PowerBI, DAX & Power BI Service | Week 11 |
Final Week
Capstone Project — 2 Industry Projects
| Chapter | Topic | Week |
|---|---|---|
| Ch. 1 | Capstone Prep — Dataset Selection, Problem Statement, Data Cleaning & EDA on Real Dataset | Week 11 |
| Ch. 2 | SQL Querying & Data Analysis — Writing SQL Queries, Data Extraction, Aggregation, Joins & Business Insights | Week 11 |
| Ch. 3 | Capstone Build — Dashboard & Visualization (Excel / Power BI) + AI Insight Report | Week 11 |
| Ch. 4 | 🏁 Industry Project 1 — Complete Capstone Submission (Data + Dashboard + Report) | Week 12 |
| Ch. 5 | 🎓 Industry Project 2 — Live Capstone Presentation, Evaluation & Certificate Awarding | Week 12 |
2 Industry Projects — The program closes with two real-world capstone deliverables, evaluated live, with certificates awarded on completion.