Fireblaze Professional Certification • 5 Months • Offline or Live Online
Data Science Certification in Nagpur
A focused route into data science. Python, Statistics, Machine Learning and AI tools, taught in that order and built around models you can explain in an interview rather than topics you can only name.
Last updated: August 2026
Fireblaze AI School's Professional Certification in AI-Powered Data Science is a 5-month data science course in Nagpur priced at ₹75,000 (inclusive of 18% GST). It covers Python, Statistics, Machine Learning and AI tools such as ChatGPT and Claude, with real modelling projects and placement assistance at three centers: Mate Square, Nandanvan and Sadar. It is also available as a live online batch across Maharashtra.
- Duration
- 5 months
- Mode
- Classroom or live online
- Where
- Nagpur, or online across Maharashtra
Who This Program Is For
Graduates Aiming at Modelling Roles
BSc, BCA, BTech, BCom and MBA graduates who want data scientist and machine learning roles rather than reporting roles.
Analysts Moving Up
Already comfortable with Excel, SQL or dashboards? This is the statistics and machine learning layer that analyst work does not teach you.
Engineers Adding Data Skills
Software and electronics engineers who can already code but have never done statistics, modelling or honest model evaluation.
What You Need to Start
- No coding background required. Python is taught from the first line of code.
- Comfort with school-level mathematics. The statistics is taught, not assumed.
- Willingness to sit with a problem. Modelling is mostly iteration, not inspiration.
- Ability to attend classroom batches in Nagpur, or a fixed live online schedule.
Who This Is Not For
This certification is not the right choice if you want the complete data journey including Excel, SQL and Power BI, an internship track and the NASSCOM partner credential. That is the Post Graduate Program in Data Science & Analytics. It is also not the right choice if your target is a reporting or dashboarding job, where the AI-Powered Data Analytics certification gets you there faster.
Learning Outcomes
What You Will Be Able to Do
Skills, not topics. This is what you should be able to demonstrate in an interview by the end.
- Write Python that handles real, messy data rather than tutorial data
- Choose and justify a statistical test, and explain what your p-value does not prove
- Build supervised and unsupervised models, and evaluate them honestly instead of quoting accuracy
- Engineer features and tune models without fooling yourself through data leakage
- Use ChatGPT and Claude to speed up analysis and code review, and verify what they return
- Explain a model to a non-technical stakeholder, including where it should not be trusted
Learning Journey
Your Five-Month Path to Data Scientist
A clear roadmap from your first counselling call to a defensible modelling portfolio. Detailed modules follow below.
Free counselling and demo class
A no-pressure counselling session to check the course fits your background, plus a free demo class before you commit. No coding background needed.
Python for data science
Python from syntax to NumPy and Pandas, then real data cleaning. You end the month with an analysis pipeline on data that was not prepared for you.
Statistics and probability
Distributions, hypothesis testing, confidence intervals and A/B testing. This is the month that separates a data scientist from a chart maker.
Supervised machine learning
Regression and classification, with model evaluation done properly: train-test discipline, cross-validation and the metrics that actually match the business question.
Unsupervised learning and AI tools
Clustering, dimensionality reduction and feature engineering, then AI tools like ChatGPT and Claude applied to real data science work.
Capstone and placement support
An end-to-end capstone you can defend under questioning, with resume building, mock interviews and hiring-partner introductions.
Complete Curriculum
What You Will Learn, Module by Module
Every module ends in a build. The full curriculum is published here, with nothing hidden behind a download wall.
Module 1 • Python for Data Science
- Python fundamentals: syntax, data structures, functions and file handling
- NumPy for numerical work, Pandas for data wrangling at scale
- Matplotlib and Seaborn for visualisation, and reading data from files and APIs
- Handling missing values, duplicates and the messy real data nobody warns you about
You build: an end-to-end data cleaning and exploratory analysis pipeline in Python.
Module 2 • Statistics for Data Science
- Descriptive statistics, probability and the distributions that actually show up in business data
- Hypothesis testing, confidence intervals and A/B testing
- Correlation versus causation, and the sampling mistakes that invalidate a result
- Interpreting a p-value honestly, which is the thing interviewers probe hardest
You build: a statistical analysis case study on a real business problem, with the conclusion you can defend.
Module 3 • Machine Learning: Supervised Learning
- Linear and logistic regression, decision trees, random forests and gradient boosting
- Train-test splits, cross-validation and why a single accuracy number misleads
- Precision, recall, ROC-AUC and choosing the metric that matches the business cost
- Overfitting, underfitting and regularisation, diagnosed on real datasets
You build: a classification model on a banking or retail case study, evaluated properly.
Module 4 • Machine Learning: Unsupervised Learning and Model Engineering
- Clustering with k-means and hierarchical methods, and how to tell a real cluster from noise
- Dimensionality reduction with PCA, and when it costs you more than it saves
- Feature engineering, encoding and scaling, plus avoiding data leakage
- Hyperparameter tuning, and the ethics of deploying a model that affects people
You build: a customer segmentation study, with each segment tied to a recommended action.
Module 5 • AI Tools and Generative AI for Data Science
- ChatGPT and Claude for exploratory analysis, code review and documentation
- Prompt engineering for modelling work, and reading AI-written code critically
- Explaining a model's behaviour with AI assistance, without outsourcing your judgement
- Verifying AI output against the data, because a confident wrong answer is the real risk
You build: an AI-assisted modelling workflow, with the time saved and the errors caught both measured honestly.
Module 6 • Capstone and Career Preparation
- An industry capstone taking a business question from raw data to a deployed-ready model
- Resume engineering, LinkedIn and a GitHub portfolio recruiters can actually read
- Mock interviews covering statistics, machine learning and case questions
- Group discussions and placement assistance
You build: a defensible capstone and interview practice under real pressure.
Projects
What You Will Build
Interviews test projects. These are the kinds of things you will have to show and defend.
Customer Churn Prediction
Predict which customers leave and, more importantly, quantify what it is worth to intervene.
Credit Risk Classification
A banking case study where the cost of a false negative is not the same as a false positive, and your metric has to reflect that.
Customer Segmentation Study
Cluster customers by behaviour, then defend why these segments are real and what to do about each.
AI-Assisted Exploratory Analysis
Use ChatGPT and Claude to accelerate exploration on a new dataset, documenting every place their output was wrong.
Tools
Tools You Will Master
Career Outcomes
Roles This Program Prepares You For
- Data Scientist: The primary target of this certification, building and defending predictive models.
- Machine Learning Associate: Model development and evaluation inside a data or product team.
- Python Data Analyst: Analyst work in codebases rather than spreadsheets, where Pandas replaces pivot tables.
- Research and Insights Analyst: Statistical testing and experiment design for product and marketing teams.
Reported ranges (Glassdoor India and AmbitionBox, 2026). See the full picture, with sources, on our AI Skill Index of India. Fireblaze does not promise a salary; these are market figures, not a guarantee.
Placement assistance includes resume building, mock interviews, group discussions and hiring-partner introductions. We report outcomes honestly, so ask for the latest placement report during counselling.
See Our Placement ProcessPrepare for the interview: machine learning interview questions, statistics interview questions and the data scientist resume guide.
Program Fee
₹89,000 ₹75,000 Save ₹14,000
Inclusive of 18% GST. No hidden charges, and the number you see is the number you pay. Current discounted fee, confirmed during counselling.
- Study material, projects and career services included
- EMI from about ₹6,300 per month via Bajaj Finance, Eduvanz or Akshar
- Scholarship eligibility assessed free during counselling: check here
Enrolments are final once payment is made and the batch is confirmed. Please read the refund policy before paying, especially if you are using EMI.
Next Batch
28th August 2026. Seats per offline batch are limited by classroom size.
Check Seat AvailabilityTwo Ways to Attend
Same curriculum, same instructors, same fee. Pick whichever fits your city and your schedule.
Classroom, Nagpur
In person, at Mate Square, Nandanvan or Sadar. Choose a morning batch (7:30 AM – 9:30 AM) or an evening batch (6:30 PM – 8:30 PM). Daily mentor access, in-person doubt solving and a batch around you. Labs and extended hands-on practice time are available at the Mate Square center, which matters more in this program than most, because modelling work needs iteration time.
Live Online, across Maharashtra
Live instructor-led classes for students in Pune, Mumbai and elsewhere in Maharashtra. Timings suit working professionals. These are real classes with a fixed schedule and live doubt-solving, not a library of recordings you watch alone.
Batches run 3 days a week, 8:00 PM to 10:00 PM IST.
How a Typical Week Runs
Concept sessions
Mentor-led classroom teaching in small batches, with doubts solved the moment they appear rather than in a forum three days later.
Lab practice
Supervised hands-on time on real datasets, because watching someone else train a model teaches very little.
Weekly build
Every module ends in something you made, reviewed by a mentor and added to your portfolio.
Career practice
Communication, group discussions and mock interviews run alongside the technical work from month one, rather than being bolted on at the end.
Certification
On successful completion, including capstone submission and a minimum 75% attendance requirement, you receive a Fireblaze AI School certificate issued by Fireblaze Technologies Private Limited. Certificates name the program and the skills covered, so recruiters can see exactly what you trained on.
See It Before You Enrol
Watch the Teaching
Full sessions from our YouTube channel, free to watch. Judge the teaching for yourself before paying anything.
Introduction to Data Science, Machine Learning and AI
Introduction to Machine Learning
Master NumPy in 30 Minutes
Master Pandas in 30 Minutes
Master Matplotlib in 30 Minutes
Inside the PGP in Data Science & Analytics
Mentors
This program is taught by practitioner-mentors who work with the tools they teach, including Aniruddha Kalbande, Anjali Bhargawa, Yash Wadpalliwar, Malhar Kerzarkar, Tinish Uge, Prajwal Nagrale and Sneha Kalbande. See full faculty profiles, or meet them in person during a campus visit. We encourage it.
Alumni Outcomes
This certification is a newer, tighter route through the same Python, Statistics and Machine Learning material our data programs have taught since 2017. Rather than attach older alumni stories to a differently-scoped program, we publish every outcome we have, by name, on our reviews page, and the placement process itself on our placements page. Ask for the latest placement report during counselling.
Companies That Have Hired Fireblaze Alumni
Logos indicate organisations where Fireblaze alumni have been employed. They do not imply partnership or endorsement.
FAQ
Frequently Asked Questions
What is the fee of the data science course in Nagpur?
Fireblaze AI School's Professional Certification in AI-Powered Data Science costs ₹75,000, inclusive of 18% GST. EMI options are available through Bajaj Finance, Eduvanz and Akshar.
How long is the data science certification?
5 months, at Fireblaze AI School's three Nagpur centers: Mate Square, Nandanvan and Sadar, or as a live online batch across Maharashtra.
Do I need coding experience to join this data science course?
No. Module 1 teaches Python from the beginning, aimed at people who have never programmed. What matters more is comfort with numbers and the patience to work through a problem you cannot immediately solve.
Should I take this certification or the Post Graduate Program in Data Science?
Take this certification if you specifically want the Python, Statistics and Machine Learning core at a lower fee and a tighter scope. Take the Post Graduate Program if you also want the Excel, SQL and Power BI foundation, the capstone and internship track, and the NASSCOM partner credential. A counsellor will map your background honestly rather than pushing the costlier option.
How is this different from the AI-Powered Data Analytics certification?
The Data Analytics certification is built around Excel, SQL and Power BI dashboards, and targets analyst roles. This Data Science certification skips the BI tooling and goes straight to Python, Statistics and Machine Learning, targeting modelling and data scientist roles. Same duration and fee, different destination.
Does this course cover SQL and Power BI?
No, and that is deliberate. This certification concentrates on Python, Statistics, Machine Learning and AI tools. If you want SQL and Power BI as well, either take the Post Graduate Program in Data Science & Analytics, which includes them, or add our standalone SQL and Power BI skill tracks alongside this certification.
What salary can a fresher data scientist expect in India?
Reported ranges for a fresher data scientist run from about ₹4 LPA to ₹8 LPA (Glassdoor India and AmbitionBox, 2026). Salaries vary by company type, skill depth and interview performance. Fireblaze does not promise a salary; ask for the latest placement report during counselling.
Which AI tools does the course cover?
Module 5 covers ChatGPT and Claude applied to data science work: exploratory analysis, explaining a model's behaviour, writing and reviewing code, and documenting results. It also covers prompt engineering and, importantly, how to verify what an AI tool gives you rather than trusting it.
Can non-engineering graduates learn data science?
Yes. BSc, BCA, BCom, BBA and MBA graduates do complete this program. Statistics and Python are taught from the ground up. An engineering degree is not a requirement, though comfort with mathematics helps in the Machine Learning modules.
Will I get placement support?
Yes. Resume building, mock interviews, group discussions and hiring-partner introductions are included. We provide placement assistance and do not advertise placement guarantees.
Is the training online or offline?
Both. Classroom batches run at our three Nagpur centers with in-person mentorship, and live online batches run for students elsewhere in Maharashtra. The curriculum, instructors and fee are the same; only the timings differ.
Is a data science certification worth it in 2026?
It is worth it if it leaves you with models you can explain and defend, rather than a certificate. Employers interviewing for data science roles probe statistical reasoning, how you evaluated a model and why you rejected the alternatives. That is what this program is built around, which is also why the capstone matters more than the certificate.
Other Programs
Compare With Our Other Courses
Post Graduate Program in Data Science & Analytics with GenAI
The complete journey from Excel and SQL to Machine Learning and Generative AI, with a capstone and internship track, plus the NASSCOM partner credential.
₹89,000 incl. GST
Professional Certification in AI-Powered Data Analytics
The fastest honest route into a data career: Excel, SQL and Power BI, then Python and AI tools, built around real business dashboards.
₹75,000 incl. GST
Next Step
See the Program Before You Commit
Book free counselling or a campus visit. Sit in a live class, meet the mentors, and walk through the curriculum. Bring your parents, we will answer their questions too.
- Free career counselling and honest profile evaluation
- Free demo class at Mate Square, Nandanvan or Sadar
- Transparent fee, EMI and scholarship discussion with no pressure tactics