Data Analyst Course & Data Analytics Training
Master high-demand analytical tools—Advanced Excel, SQL, Power BI, and Python—enhanced with practical Generative AI workflows. Attend interactive live online classes across India or join classroom training at our Gurugram center.
*Illustrative analytics output from student portfolio capstone exercises.
Choose Your Analytics Specialization Track
Whether you seek core foundational business intelligence mastery or an AI-augmented productivity advantage, SSSAM Academy offers two industry-aligned training programs.
Comprehensive Data Analyst Course
Master the core foundational stack: Advanced Excel, SQL relational querying, Power BI executive dashboards, and Python data manipulation. Built for deep fundamental competence.
Data Analyst with AI Course
Core fundamentals supercharged with Generative AI workflows: ChatGPT for SQL query optimization, Microsoft Copilot in Excel & Power BI, automated EDA, and responsible AI output validation.
Choose How You Want to Learn Data Analytics
Whether you prefer the convenience of live online classes from your home or the focused immersion of an in-person classroom, SSSAM Academy offers two structured training pathways.
Live Online Data Analyst Training
Instructor-led, real-time interactive classes accessible from any city or state across India. Ideal for students, fresh graduates, and working executives.
- ✓100% Live Interactive Sessions: Real-time coding labs, screen-sharing, and interactive Q&A.
- ✓Flexible Batches: Dedicated weekend (Sat & Sun) and weekday evening batches for working professionals.
- ✓Pan-India Accessibility: Open to learners across Delhi, Mumbai, Bengaluru, Hyderabad, Pune, and all Tier 2/3 cities.
- ✓Revision Library: Class recordings, project repositories, and assignment solutions accessible for self-paced revision.
Classroom Training in Gurugram
Dedicated in-person classroom training at our Gurugram facility. Built for learners who thrive in face-to-face mentorship and collaborative peer lab environments.
- ✓In-Person Mentor Mentoring: Face-to-face query resolution, desk code reviews, and instant feedback.
- ✓Collaborative Lab Space: Whiteboard query modeling, paired capstone work, and team problem-solving.
- ✓Convenient Location: Easily accessible for learners in Gurugram, DLF Cyber City, Sohna Road, and neighboring NCR areas.
- ✓In-Person Mock Interviews: Real-time technical whiteboard interviews, resume critique, and presentation drills.
Why Learn Data Analytics?
Modern businesses generate millions of transactional and operational records daily. Organizations do not need guesswork—they need trained data analysts who can turn raw tables into commercial clarity.
Data Ingestion & Hygiene
Raw data is noisy, duplicate-ridden, and unindexed. Analysts normalize records, eliminate anomalies, and establish a reliable single source of truth.
Relational Querying
Analysts query enterprise databases to join disparate tables, aggregate transactional records, and calculate cohorts to answer immediate business questions.
Executive Dashboards
Business leaders do not read raw SQL tables. Analysts model star schemas and build automated Power BI reports with DAX measures for executive visibility.
Statistical Exploration
When spreadsheets hit scale limits, programmatic analytics in Python automates complex transformations, detects churn drivers, and powers predictive insights.
Master the Complete Analytics Stack
We focus on the essential technical tools and quantitative foundations actively demanded in Data Analyst job descriptions across India and global corporate markets.
Advanced Excel
Microsoft Excel remains the ubiquitous engine of enterprise calculations, dynamic financial modeling, and operational monitoring.
- •XLOOKUP, INDEX & MATCH for relational data retrieval
- •Nested conditionals: IFS, SUMIFS, COUNTIFS, AVERAGEIFS
- •Dynamic Pivot Tables, calculated fields, and Slicers
SQL (Structured Query Language)
SQL is the industry-standard language used by analysts and engineers to extract, filter, join, and summarize billions of data points stored in enterprise databases.
- •Data filtering, sorting, and pattern matching (WHERE, LIKE, BETWEEN)
- •Multi-table relational joins (INNER, LEFT, RIGHT, FULL OUTER)
- •Aggregation & grouping (GROUP BY, HAVING, COUNT, SUM, AVG)
Power BI
Microsoft Power BI transforms raw tables and databases into automated, interactive visuals and drill-through KPI dashboards.
- •Power Query data extraction, transformation, and normalization
- •Star schema data modeling and relationship active/inactive states
- •DAX expressions: Measures, Calculated Columns, CALCULATE, Time Intelligence
Python for Data Analysis
Python is the leading programming language for data analytics, scientific computation, and exploratory machine learning.
- •Core Python data structures: lists, dictionaries, sets, and tuples
- •NumPy array vectorization and numerical operations
- •Pandas DataFrames: data manipulation, cleaning, filtering, and merging
Statistics for Data Analysis
Statistics provides the scientific rigor required to separate genuine business trends from random noise, validate sample sizes, and evaluate risk.
- •Descriptive statistics: Mean, Median, Mode, Variance, and Standard Deviation
- •Probability distributions: Normal distribution, skewness, and outliers
- •Correlation vs causation and regression analysis basics
Comprehensive Data Analyst Program
A structured, job-oriented curriculum covering Advanced Excel, SQL database querying, Power BI dashboards, and Python data analysis. Designed to take ambitious learners from foundational spreadsheets to production-grade database querying, dynamic business intelligence, and programmatic data manipulation.
Live batches starting every month. Limited seats per batch for personalized mentoring.
What You Will Learn: Curriculum Breakdown
Explore the 4 modular pillars of our curriculum. Each module combines conceptual clarity, live coding exercises, and a dedicated capstone laboratory.
Topics & Practical Hands-on Labs
- ✓Spreadsheet structure & formula auditing
- ✓Lookup functions: XLOOKUP, INDEX & MATCH
- ✓Logical and conditional functions: IFS, COUNTIFS, SUMIFS
- ✓Pivot Tables, Slicers, and Timelines
- ✓Data validation, conditional formatting & automated reporting
Need the Detailed Syllabus Document?
Review complete module breakdowns, lab assignments, and prerequisites.
Learn Through Real-World Data Projects
Hiring managers evaluate data analysts on the complexity of the problems they solve, not certificates alone. Build production-grade case studies using real, un-sanitized business datasets.
E-Commerce Sales Performance & Customer Cohort Analysis
End-to-end analytical project analyzing multi-channel transactional records, calculating customer lifetime value, and identifying revenue bottlenecks.
Telecom Customer Churn & Retention Analytics
Statistical exploration and dashboard modeling predicting customer churn probability and evaluating contract risk factors.
Corporate Financial Performance & Budget Variance Tracker
Financial analytics dashboard evaluating revenue targets, operating expenses, and departmental budget variances.
Practical Learning Methodology
Our instructional workflow prioritizes problem-solving and structured practice over passive video consumption.
Business Context
Every topic begins with a real commercial problem—such as calculating churn or identifying margin leaks.
Live Coding Labs
Instructors demonstrate queries and DAX formulas in real time while students build alongside.
Independent Labs
Students tackle unassisted problem sets with intentionally messy data to master edge cases.
Capstone Execution
Complete end-to-end analytical solutions developed and published to public Git and Power BI portfolios.
Narrative & Review
Students present findings, justify metric definitions, and receive rigorous code and logic audits.
From Beginner to Data Analyst: Career Pathway
A milestone-driven roadmap showing how each phase of our curriculum qualifies you for distinct industry roles.
Spreadsheet Proficiency
Advanced lookup formulas, financial modeling, dynamic pivot tables, and automated reporting.
Relational Database Fluency
Relational schemas, complex multi-table joins, CTEs, aggregation queries, and window functions.
Business Intelligence
Star schema modeling, complex DAX measures, time-intelligence calculations, and drill-through UX.
Programmatic & Statistical
Python programming, Pandas data manipulation, statistical EDA, churn modeling, and final capstones.
Online vs Classroom: Side-by-Side Comparison
Both options follow the exact same industry curriculum and capstone project rigor. Choose based on your geographical location and preferred learning environment.
| Feature | Live Online (All India) | Classroom (Gurugram Center) |
|---|---|---|
| Geographic Availability | All India (Any city/state) | Gurugram Center (In-person) |
| Delivery Format | Live interactive video conferencing | Physical classroom lectures & labs |
| Schedule Options | Weekend & weekday evening batches | Weekend & weekday classroom batches |
| Lab Assistance | Real-time screen share & remote code review | Direct in-person desk guidance & paired coding |
| Doubt Resolution | Live in-class Q&A + scheduled 1-on-1 calls | Instant face-to-face mentor discussions |
| Class Recordings | Full video recordings of every live session | Lab notes, repositories & supplementary videos |
| Interview Preparation | 1-on-1 virtual mock interviews & resume review | In-person whiteboard interviews & drills |
| Best Suited For | Learners anywhere in India seeking schedule flexibility | Gurugram & NCR learners preferring physical focus |
Who Is This Program Designed For?
Data analytics is an accessible career pathway for analytical minds across various educational and professional disciplines.
College Students & Undergrads
Final-year students (B.Tech, BCA, B.Sc, B.Com, BBA, BA) aiming to graduate with high-demand technical capabilities and tangible portfolio projects.
Fresh Graduates & Job Seekers
Recent graduates overcoming the experience barrier by showcasing demonstrable SQL and Power BI dashboards to prospective employers.
Read Degree Transition Guide →Working Non-IT Professionals
Professionals in operations, sales, finance, supply chain, or HR seeking to automate manual spreadsheets and step into analytics roles.
Career Switchers & IT Support
Technical support, QA testers, and business development executives wanting to transition into high-growth data engineering and analytics paths.
After 12th & Diploma Holders
High school graduates with strong analytical interest wanting to build real commercial digital skills alongside their undergraduate degrees.
Read After 12th Roadmap →No Prior Coding Required
All you need is basic computer familiarity, logical thinking, and dedication. We build spreadsheet formulas, SQL queries, and Python code from square one.
Practical Mentorship & Learning Standards
Transparent, honest education led by active analytics practitioners. No fabricated testimonials, no artificial placement promises—just rigorous, verified skill building.
100% Live Instruction
Interactive batches, not pre-recorded videos
Real Industry Datasets
Practical cohort, sales & churn cases
Dual Learning Format
Online (All India) & Gurugram Classroom
Portfolio-Ready Outputs
GitHub queries, Power BI dashboards
Taught by Working Practitioners
Our instructors do not teach from outdated slide decks. They write SQL queries, construct DAX measures, and manage analytics infrastructure in real corporate roles daily.
Zero Toy Datasets
You will not work with sanitized 5-row spreadsheets. Every case study uses realistic multi-table schemas with missing values, foreign key mismatches, and messy business edge cases.
What to Expect from the Learning Experience
We believe in setting clear expectations before you commit your time and effort.
Weekly Time Effort
6-8 hours of live lecture instruction plus 4-6 hours of independent hands-on lab exercises each week.
Hands-on Execution
Every class involves actively writing code, structuring formulas, or designing visuals. Zero passive watching.
Constructive Audits
Receive direct feedback on your query performance, data normalization choices, and report layout.
Portfolio Deliverables
Graduate with public, verifiable project deliverables on GitHub and live Power BI dashboards.
Frequently Asked Questions
Clear, transparent answers about our Data Analyst training, batch schedules, fees, and learning modes.
The Comprehensive Data Analyst Program is a structured, job-ready training program covering the four essential tools required for analytics roles: Advanced Excel, SQL relational databases, Power BI business intelligence, and Python data analysis. The course is built around hands-on business datasets and portfolio capstones.
Ready to Start Your Data Analytics Journey?
Reserve your seat for an interactive live demo session. Experience our instructional style, inspect real project datasets, and talk through your career roadmap with a senior mentor.
- ✓Live Tool Walkthrough: Hands-on SQL querying and Power BI dashboard demonstration.
- ✓Curriculum Roadmap: Module breakdown and project milestone expectations.
- ✓Online vs Gurugram Guidance: Recommendations tailored to your schedule and location.
- ✓1-on-1 Q&A: Direct time with senior faculty to answer your technical questions.