Premium, structured, mentor-led upskilling

Ignite your Data Analyst career with a program built for real-world impact.

IGNITUS blends classroom intensity with guided self-study, portfolio projects, and interview readiness to help you move confidently into Data Analyst roles.

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1.5 Months Program duration

72 Hours Instructor-led coverage

2 Projects Portfolio-ready work

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Program Snapshot

Format Instructor-led + Self-paced

Projects Business dashboards

Mentors Analytics specialists

Trusted by learners ready to level up in analytics

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Hiring Partner

EdTech Partner

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Data Analyst Program

A focused, structured pathway with curated outcomes and clear weekly cadence.

Foundation Track

Data Analyst

₹25,000

Final price (GST excl). Built for analysts and early-career talent.

B.Tech/B.E. in CSE/IT/ECE/EEE or any branch with programming coursework.
Minimum 55% aggregate or CGPA 5.5/10.
Excel/spreadsheet usage (formulas, simple charts) required.
Data awareness required; Python and SQL basics are optional.
8-10 hrs/week of self-study alongside classroom sessions.

1.5 Months Program length

18 Days Training days

72 Hours Instructor-led

Apply for Data Analyst View Full Syllabus

Curriculum built for job readiness

Clear module coverage across instructor-led and self-paced learning.

Core Modules

Introduction to Data Analytics & Business Intelligence
Data Types, Data Collection & Data Quality
Excel for Data Analysis (Formulas, Pivot Tables, Dashboards)
SQL for Data Analysis (CRUD, Joins, Subqueries)
Python for Data Analysis (NumPy, Pandas)
Data Cleaning & Preprocessing
Exploratory Data Analysis (EDA)
Data Visualization (Power BI / Tableau)
Basics of Statistics (Mean, Variance, Correlation)
Business Problem Framing & Insights Storytelling

Hands-on Projects

Sales & Marketing Dashboard

Build a dashboard that tells the performance story using clean visuals.

SQL Data Extraction Project

Write structured queries to derive business insights from raw tables.

Request project briefs

Additional modules and career readiness

Every learner receives skill-building beyond the classroom.

Git and GitHub

Git and GitHub fundamentals
Structured project repositories
README, documentation and code hygiene
Portfolio review by mentors

Instructor-led + Self-paced

Interview and Placement Readiness

Technical interview preparation
SQL, Python and analytics coding rounds
Case study and business problem interviews
HR and behavioral interview sessions

AI Interview Simulations

Hackathons and Competitions

Internal data hackathons
Kaggle competition participation
Problem-solving under time constraints
Leaderboards and recognition

Mentor guided

Industry Mentorship

Guest lectures by industry professionals
Mentorship for projects
Career roadmap sessions
Industry trends and expectations

Live sessions

Tools and Platforms

Excel, SQL, Python, Power BI / Tableau
Jupyter, VS Code, GitHub

Hands-on exposure

Projects, outcomes, and readiness

Build portfolio-grade work and leave with end-to-end exposure.

Data Analyst Capstone

Sales & marketing dashboard + SQL extraction project for real insights.

Analytics storytelling

Role Readiness

Preparation for Data Analyst and Business Analyst roles.

Interview ready

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Learning format that respects your schedule

Structured classroom sessions plus guided self-study each week.

Data Analyst cadence

8-10 hrs/week of self-study alongside classroom sessions.

Great for early-career professionals.

Support built in

Live doubt-clearing, mentor reviews, and peer community.

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What learners are saying

Premium support with measurable growth.

"The structured path helped me transition from a non-tech role into analytics within weeks."

Alumni Name Data Analyst, Placeholder Co.

"The portfolio projects and mock interviews made the difference in my confidence."

Alumni Name Business Analyst, Placeholder Co.

Frequently asked questions

Quick answers before you talk to our advisors.

Who is this Data Analyst program best suited for?

This program is ideal for learners starting their analytics journey or professionals who want foundational BI and reporting skills.

Do I need prior coding experience?

You should be comfortable with basic Excel and spreadsheets. Python and SQL basics are helpful but not mandatory at entry.

Is there placement assistance?

We provide interview simulations, mentor reviews, and job-readiness sessions to prepare you for analytics interviews.

Ready to upskill with IGNITUS?

Reserve your seat or request a detailed consultation.

Share your goals and our advisors will suggest the right track for you.