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🔥 Most Popular in Kanpur

Data Science Training Course in Kanpur With Gen AI by Uncodemy

Uncodemy’s Data Science with Generative AI program for Kanpur learners is a practical, instructor-led course spanning 8–9 months. It covers Python, SQL, statistics, machine learning, deep learning, Power BI, Tableau, and Gen AI through live online sessions for Kanpur students, with classroom access available in Delhi and Noida. The current fee is ₹21,500 + 18% GST, bringing the total to ₹25,370.

⚡ LIMITED TIME OFFER

Special Offer: Data Science with AI

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₹21,500/-
+GST
2-Class Trial
Attend 2 Classes
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EMI AVAILABLE
Starts at ₹4,622/M
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Expert Trainers

Learn from 8+ years experienced professionals

Live Projects

Work on real-time projects & case studies

Lifetime Access

Get lifetime access to recorded sessions & materials

Dedicated Career & Placement Assistance

Resume Building, Mock Interviews & Job Support

Certified Course

Certificate of Completion from Uncodemy

Flexible Batches

Weekday & Weekend Online & Offline

Why Choose
Uncodemy?

14+
Years of Training Excellence
850+
Companies in Our Hiring Network
54,000+
Learners Trained
200+
Corporate Associations
100%
Placement Support
Online & Offline Classes
Weekend & Weekday Batches
100% Practical Training
Affordable Fees
EMI Options Available
Dedicated Support

Program Details

Data Science with AI — Training & Placement Program A practical learning path built around real Data Science capability and interview readiness.
This is a structured 8–9 month mentor-led training program covering Python, SQL, Statistics, Machine Learning, Deep Learning, Power BI/Tableau, and Gen AI through guided projects, mentorship, and career support.
📚 Learning:
150+ Hours of Learning
⏱️ Program Duration:
8–9 Months
🎓 Live Training:
90+ Live Sessions
🛠️ Technology Coverage:
15+ Tools & Technologies
💼 Practical Learning:
Hands-on Projects & Case Studies
💰 Program Fee:
₹21,500 + 18% GST
💰 Total Fee:
₹25,370
💳 EMI:
Starting From ₹4,622/Month (for 6 months)
🚀 Career Support:
Dedicated Career & Placement Assistance
🏢 Hiring Network:
850+ Companies in Our Hiring Network
🎯 Career Support Includes:
Resume Building & LinkedIn Optimization, Mock Interviews & Interview Preparation, Career Guidance & Job Opportunity Assistance

Data Science Course in Kanpur — Quick Facts

🎓 Course:
Data Science with Gen AI
🏢 Provider:
Uncodemy Edutech Pvt. Ltd.
📚 Total Learning:
150+ Hours
📖 Curriculum:
11 Modules
💼 Projects:
5 Guided + 1 Capstone
🛠️ Tools:
Python, SQL, Statistics, Machine Learning, Deep Learning, Power BI/Tableau, Gen AI
🌐 Modes:
Live Online for Kanpur; Offline/Hybrid available only at Delhi & Noida centres
✅ Prior Coding:
Not Required
📜 Certificate:
Uncodemy Program Certificate
🗓️ Last Reviewed:
15 September 2026

List of Placed Students Trained by Uncodemy

Learners who complete the Uncodemy Data Science program gain practical knowledge in Python, SQL, statistics, machine learning, deep learning, Power BI/Tableau, and Gen AI. After finishing their training and career preparation, eligible candidates can apply for roles such as Data Scientist, ML Engineer, Data Analyst, and Business Intelligence Analyst. Placement outcomes for Kanpur learners are refreshed regularly and can be viewed at uncodemy.com/placement.

ankit singh
4.8 LPA
Hyderabad

Ankit Singh

Data Analyst

Placed at:FINELABS

Data Analytics Batch
Batch: DA/09/0823/S WD 7PM
Read placement record
ashish-butola
4.8 LPA
India

Ashish Butola

Data Analyst

Placed at:Allsoft Solutions

Data Analytics Batch
Batch: DS/12/0823/IR WE 12 PM
Read placement record
Rajat
4.0 LPA
Delhi

Rajat Kashyap

Data Analyst

Placed at:Hexalog

Data Analytics Batch
Batch: DS/DA Weekend July Batch 10 AM
Read placement record
Sagar
3.25 LPA
Pune

Sagar B. Shembade

Data Analyst

Placed at:SmartStudy

Data Analytics Batch
Batch: DA/WD/S 08:00 PM 08 JAN-UC
Read placement record
Student Image
3.0 LPA
Noida

Priyanka Kumari

Data Analyst

Placed at:CloudFirst Digital

Data Analytics Batch
Batch: DS/DA Weekend July Batch 10 AM
Read placement record
Student Image
3.0 LPA
Delhi

Shruti Saxena

Data Analyst

Placed at:Jepius Healthcare

Data Analytics Batch
Batch: DS/DA/09/UP WD 12:30 PM
Read placement record

What is Data Science?

Data science brings together statistics, programming, and business understanding to turn raw information into actionable insights and predictions. It covers data collection, cleaning, exploratory analysis, model building, and deployment, and it is used wherever organisations need forecasting, risk analysis, product personalisation, or scalable automation.

What does a data scientist do? A data scientist works with data from business systems and databases, prepares it for analysis, identifies patterns, builds and tests machine learning models, and explains findings to product, marketing, risk, or engineering teams. In a typical week, this may involve SQL queries, Python notebooks, model evaluation, and clear communication of outcomes so the business can act on them.

Data Analytics vs Data Science vs Business Analytics

Data analytics explains the past, data science estimates what is likely to happen next, and business analytics focuses on what the business should do in response.

Aspect Data Analytics Data Science Business Analytics
Core question What happened, and why? What will happen next? What should the business do?
Coding depth Low to moderate High Low
Typical entry salary ₹3–6 LPA ₹4–8 LPA ₹4–7 LPA
Time to job-ready 6–7 months 8–9 months 5–6 months

Salary ranges are indicative and vary by role, skills, experience, location and employer.

Course Overview

This Data Science course for Kanpur learners spans 8–9 months and includes 90+ live sessions with 150+ hours of learning. It is organised into eleven modules that progress from fundamentals to advanced applications — Python, SQL, statistics, EDA, machine learning, deep learning, NLP, Power BI/Tableau, Generative AI, MLOps, and a final capstone. Every module includes practical work on real datasets, and the course concludes with guided projects that strengthen the learner’s portfolio. Kanpur learners join live online sessions while classroom access remains available in Delhi and Noida.

Who should join this course:

  • Fresh graduates from any stream — B.Sc, B.Tech, B.Com, BBA, BA, BCA — who want an entry into data science.
  • Working professionals in analytics, reporting or software roles who want to move into machine learning.
  • Career changers moving from non-technical or semi-technical roles into a data science role.
  • MIS and reporting executives who want to move up from Excel and SQL into Python, ML and model deployment.
  • Kanpur-based learners who want live instructor-led training with recordings, without relocating for a classroom batch.

Eligibility: Applicants should hold a graduate degree in any discipline. Prior programming experience is not required, as Python and SQL are introduced from the start. Basic comfort with mathematics is useful, although the statistics module helps build that foundation. A laptop with at least 8GB RAM and a stable internet connection is recommended.

Upcoming Data Science Course Batches in Kanpur

Choose a batch timing that fits your schedule. Book a free demo class first-hand, or join our upcoming weekend and weekday live batches — designed for both working professionals and students, with flexible timings and hands-on training.

Weekdays

Date Time Trainer Seats Left
22Sept 07:30 PM – 08:30 PM Mr. Upendra Kumar Tiwari 02Seats
28Sept 02:00 PM – 03:00 PM Mr. Irshad Khan 01Seat
02Oct 10:30 AM – 11:30 AM Ms. Rachna Verma 02Seats
06Oct 12:00 PM – 01:00 PM Mr. Syed Najeeb 01Seat

Weekends

Date Time Trainer Seats Left
27Sept 03:00 PM – 05:00 PM Mr. Kunal 02Seats

Seats are limited and updated daily. All timings are in IST.

Curriculums for Data Science Training Courses In Kanpur

Data Science Course Syllabus in Kanpur

The curriculum is organised into eleven modules and covers 150+ hours of learning, following the actual workflow used by data scientists — gather the data, clean it, analyse it, build the model, deploy it, and explain the outcome. Every module includes a practical assessment based on a real dataset, and the final stage brings everything together through portfolio-focused projects.

Module 1: Python for Data Science — 20 Hours

  • Python fundamentals: variables, data types, loops, functions
  • Lists, tuples, dictionaries, sets, file operations
  • NumPy: arrays, vectorised operations, broadcasting
  • Pandas: Series, DataFrames, indexing, filtering, merging, grouping
  • Handling missing values and duplicates
  • Matplotlib, Seaborn and Jupyter Notebook

Module 2: SQL & Database Management — 15 Hours

  • Relational database concepts, ER diagrams, normalisation
  • SELECT, WHERE, ORDER BY, GROUP BY, HAVING
  • All join types: inner, left, right, full outer, self, cross
  • Subqueries and Common Table Expressions
  • Window functions: ROW_NUMBER, RANK, LEAD, LAG
  • Connecting SQL databases to Python

Module 3: Statistics & Probability for Data Science — 15 Hours

  • Descriptive statistics: mean, median, variance, standard deviation
  • Probability fundamentals and data distributions
  • Sampling methods and the Central Limit Theorem
  • Hypothesis testing: p-values, confidence intervals, t-tests, chi-square, ANOVA
  • Correlation and regression basics
  • Bayesian thinking for business problems

Module 4: Data Cleaning & Exploratory Data Analysis — 12 Hours

  • Data quality assessment and profiling
  • Handling missing values: deletion, imputation, flagging
  • Outlier detection and treatment
  • Feature creation and binning
  • Univariate, bivariate and multivariate analysis
  • Correlation heatmaps and structuring an EDA report

Module 5: Machine Learning (Supervised & Unsupervised) — 25 Hours

  • Supervised vs unsupervised learning, train-test split, cross-validation
  • Linear and logistic regression
  • Decision trees, random forests, gradient boosting (XGBoost, LightGBM)
  • KNN, Naive Bayes, SVM
  • K-means, hierarchical clustering, PCA
  • Model evaluation: accuracy, precision, recall, F1, ROC-AUC, RMSE
  • Scikit-learn pipelines and hyperparameter tuning

Module 6: Deep Learning & Neural Networks — 15 Hours

  • Perceptrons, activation functions, backpropagation
  • Feedforward neural networks in TensorFlow/Keras
  • Regularisation: dropout, batch normalisation, early stopping
  • Convolutional Neural Networks (CNN) for image data
  • Recurrent Neural Networks (RNN) and LSTMs for sequences
  • Transfer learning with pre-trained models

Module 7: Natural Language Processing (NLP) — 10 Hours

  • Text preprocessing: tokenisation, stemming, lemmatisation
  • Bag of Words, TF-IDF and embeddings
  • Sentiment analysis and text classification
  • Named entity recognition
  • Introduction to transformer architectures
  • Hugging Face pipelines for practical NLP tasks

Module 8: Power BI & Tableau for Data Science — 15 Hours

  • Connecting to Excel, SQL, CSV and web sources
  • Power Query Editor, data modelling and relationships
  • DAX: calculated columns, measures, time intelligence
  • Visual types, filters, slicers, bookmarks and drill-through
  • Tableau dimensions, measures, calculated fields and parameters
  • Dashboards, actions and stories; publishing and scheduled refresh

Module 9: Generative AI, LLMs & Prompt Engineering — 10 Hours

  • How large language models work: tokens, context, temperature
  • Prompt engineering for data tasks
  • AI-assisted SQL, Python and model debugging
  • Copilot in Excel, Power BI and notebooks
  • Retrieval-augmented generation (RAG) basics
  • Verifying AI output: hallucinations, wrong aggregations, false confidence
  • Data privacy: what should never be pasted into a public AI tool

Module 10: MLOps & Model Deployment — 8 Hours

  • Model packaging and versioning
  • REST APIs for model serving with FastAPI/Flask
  • Containerisation basics with Docker
  • Experiment tracking with MLflow
  • CI/CD concepts for ML pipelines
  • Monitoring models in production: drift and retraining triggers

Module 11: Capstone Projects & Career Preparation — 10+ Hours

  • End-to-end capstone project on a real business dataset
  • Building a GitHub portfolio and dashboard showcase
  • Data science resume writing and LinkedIn optimisation
  • SQL, ML and case-study interview practice
  • Mock interviews with feedback
# Module Hours Tools
1 Python for Data Science 20 Python, Pandas, NumPy, Matplotlib, Seaborn, Jupyter
2 SQL & Database Management 15 MySQL
3 Statistics & Probability 15 Excel, Python, SciPy
4 Data Cleaning & EDA 12 Python, Pandas
5 Machine Learning 25 Scikit-learn, XGBoost, LightGBM
6 Deep Learning & Neural Networks 15 TensorFlow, Keras
7 Natural Language Processing 10 NLTK, spaCy, Hugging Face
8 Power BI & Tableau 15 Power BI Desktop, Tableau Public
9 Generative AI, LLMs & Prompt Engineering 10 ChatGPT, Copilot
10 MLOps & Model Deployment 8 FastAPI, Docker, MLflow
11 Capstone & Career Prep 10+ All tools
Total 150+ Hours 15+ tools

Contacted by

UT

Upendra Kumar Tiwari

Senior Data Science Trainer

15+ Years Experience

Specialization: Data Science, Data Analytics, Machine Learning, Deep Learning, AutoML, ML on Cloud, NLP

Get Your Data Science Certification In Kanpur

After completing all eleven modules, the required assignments, and the capstone project, learners receive the Uncodemy Data Science Program Certificate. This certificate includes the course name, duration, tools covered, completion date, and verification details, and it is awarded after successful completion of the coursework and assessment.

The certificate reflects the practical work completed during the program. Learners use tools such as Python, SQL, statistics, machine learning, deep learning, Power BI/Tableau, and Gen AI to finish assignments, projects, and a final capstone that shows how the learning is applied in real-world data work.

Key Benefits of Our Data Science Certification:

  • Program Completion : Provides a record of successful completion of the Data Science program.
  • Online Verification : The certificate includes a verification reference that can be checked online.
  • Practical Learning : The training includes assignments, projects and a capstone project using Data Science tools.

The Data Science program for Kanpur learners from Uncodemy includes a verified certificate that can be checked online through the official Uncodemy certificate verification portal.

Uncodemy Certificate Verification Online Certificate Verification & Download certificate.uncodemy.com
IIBA Endorsed Education Provider certificate — Uncodemy
Uncodemy Data Science Program Certificate
Uncodemy MSME registration certificate

Tools and Technologies Covered

Apply Now

Introducing Uncodemy


Portfolio review: Your experience and guided projects are reviewed and refined into a portfolio an interview will find credible.

Resume & LinkedIn: We build your resume around your keywords and measurable outcomes, and align your LinkedIn profile to match.

Interview preparation: SQL problem sets, ML and statistics questions, case studies, and behavioral questions specific to data science hiring.

Mock interviews: Sessions with industry trainers, followed by written feedback on what to fix.

Opportunity sharing: Relevant openings from our hiring network of 850+ companies are shared with you, with support through the application and interview process.

Continued support: This is active assistance, not a guarantee of employment — no training institute can honestly promise a job. Support continues after your program ends for learners who stay engaged with the process.

Instructors

The people who actually teach this course

Classroom sessions at our Delhi and Noida centres and live online batches are taught by Uncodemy's senior trainer panel, with 10+ years average corporate training experience across data science, analytics and AI. The curriculum on this page was reviewed and signed off by Mr. Upendra Kumar Tiwari.

Uncodemy separates two roles that most institutes combine. Trainers deliver the live sessions. Domain reviewers — separate specialists who don't teach the batch — verify that the curriculum is technically accurate and current. For this program, the technical content is reviewed by Mr. Upendra Kumar Tiwari. It means the person teaching a course is not the only person checking whether its content is correct.

Every trainer and domain reviewer associated with Uncodemy is published by name, with their domain and background — you can look them up before you enrol rather than after.

Enroll in Our Data Science Training in Kanpur Today!

Enroll in Uncodemy's Data Science Training for Kanpur learners today. Develop practical data science skills through instructor-led live online training, real projects, assignments and structured career preparation — from Python and SQL through machine learning, deep learning and Gen AI.

Data Scientist Jobs and Career Scope in Kanpur+

Kanpur is Uttar Pradesh's largest industrial city and one of North India's oldest manufacturing hubs, roughly 80 km from Lucknow and about 440 km from Delhi. Historically known for leather, textiles and defence manufacturing, the city's economy today spans leather and leather goods, textiles and garments, defence and aerospace (with the Defence Corridor node), chemicals, plastics, food processing and a growing IT services and startup cluster. Local data science hiring in Kanpur is smaller than Delhi NCR or Bengaluru, but it is real and growing — the defence corridor and the Panki and Dada Nagar industrial belts hire for operations, quality and supply chain analytics; the leather and textile clusters hire for demand forecasting, inventory and quality analytics; BFSI branches and regional offices hire for credit risk, collections analytics and MIS reporting. Kanpur's proximity to Lucknow and Delhi NCR (about 6.5 hours by road) means many learners either work remotely for Delhi-NCR or Bengaluru-headquartered employers, relocate to one of those cities after the course, or target remote-first companies where the skill bar is identical and location is not a barrier. The city also has a strong education ecosystem — IIT Kanpur, HBTU, CSJM University and several engineering colleges — which increasingly feeds analytics and AI talent into startups and research roles. Across all of these, employers expect working Python, SQL and at least one BI tool, plus a portfolio that shows you can frame a business question and evaluate a model — not just train one.

Job Roles After This Course+

Data Scientist, ML Engineer, Data Analyst, Business Intelligence Analyst, Data Engineer and AI/ML Research Associate are the roles this course maps to. Each overlaps in the underlying skill set — Python for modelling, SQL for data access, statistics for evaluation, and a BI tool for communicating results — but they differ in how much of the day is spent on modelling versus data infrastructure versus stakeholder communication.
Role Core Tools
Data Scientist Python, SQL, Scikit-learn, TensorFlow, Power BI
ML Engineer Python, TensorFlow, Docker, MLflow, FastAPI
Data Analyst SQL, Excel, Python, Power BI
Business Intelligence Analyst Power BI, Tableau, SQL, DAX
Data Engineer SQL, Python, ETL tools, cloud data platforms
AI/ML Research Associate Python, PyTorch/TensorFlow, NLP libraries
Most graduates start as a Data Scientist, Data Analyst or ML Engineer and specialise further with two to four years of experience, once they have owned a few end-to-end modelling or deployment projects.

Data Scientist Salary in Kanpur — Experience-wise+

Salaries in Kanpur vary by experience level, sector and how strong your Python and ML engineering skills are. A candidate who can only train models in a notebook typically sits at the lower end of a band; one who can also deploy, monitor and explain a model to a business stakeholder tends to move to the top of the same band faster. Kanpur salaries for the same experience band often sit below Delhi NCR, Noida and Bengaluru, though remote roles and roles with Delhi-NCR or Bengaluru-headquartered employers can pay at par with those markets.
Level Salary Range
Internship / Trainee ₹10k–30k/month
Fresher Data Analyst ₹3–6 LPA
Fresher / Junior Data Scientist ₹4–8 LPA
Strong fresher with good projects + skills ₹6–10 LPA
Data Scientist (1–3 years) ₹8–15 LPA
Data Scientist (3–5 years) ₹12–20+ LPA
Strong experienced candidate / product company ₹20–30+ LPA
Sources reviewed: AmbitionBox, Glassdoor, Indeed and Uncodemy placement records. Reviewed: September 2026. Salary ranges are indicative and may vary based on role, skills, experience, location, employer and market conditions. Uncodemy does not guarantee any specific salary or employment outcome.

Top Hiring Sectors for Data Scientists in Kanpur+

Uncodemy works with 850+ companies in our hiring network across India, spanning large enterprises, mid-size firms and fast-growing startups, which gives learners exposure to more than one kind of hiring process and interview style. In Kanpur specifically, data science demand is strongest in:
  • Defence and aerospace — the UP Defence Industrial Corridor node at Kanpur, hiring for operations, quality and supply chain analytics
  • Leather, textiles and manufacturing — the Panki, Dada Nagar and Jajmau industrial belts, for demand forecasting, inventory and quality analytics
  • BFSI — banking, insurance and NBFC branches and regional offices, for credit risk, collections analytics and MIS reporting
  • Education and research — IIT Kanpur, HBTU, CSJM University and the surrounding college ecosystem, for academic, research and operational data analysis
  • Delhi-NCR/Bengaluru-linked remote and relocated roles — the largest practical opportunity for Kanpur learners, across IT services, BFSI, e-commerce, pharma and consulting, where the skill bar is identical and location is not a barrier
Each sector weights skills slightly differently, so as you get closer to placement, it helps to tailor your portfolio projects toward the one or two sectors you are most interested in. Many Kanpur learners also target remote-first employers or relocate to Delhi NCR, Noida or Bengaluru, where the analytics job market is significantly larger.

How to Become a Data Scientist — Step by Step+

Becoming a data scientist is a step-by-step skill build, not a single course, and skipping steps usually shows up later as gaps in interviews or on the job.
  • Learn Python — syntax, data structures, functions, and then Pandas and NumPy for real data work.
  • Build statistics depth — descriptive stats, probability, hypothesis testing and regression, enough to defend your conclusions when questioned.
  • Learn SQL to a working standard — joins, aggregations, subqueries and window functions, because almost every data science role starts with pulling data from a database.
  • Learn machine learning — supervised and unsupervised algorithms, model evaluation, cross-validation and hyperparameter tuning with Scikit-learn.
  • Add deep learning — neural networks, CNNs, RNNs and transfer learning with TensorFlow/Keras, plus an introduction to transformers and NLP.
  • Build three to five portfolio projects, each with a business question, a model, an evaluation metric and a recommendation — ideally drawn from a sector you want to work in.
  • Prepare and apply — SQL and ML practice, case-study rehearsal, a targeted resume and LinkedIn profile that highlights outcomes, not just tools.
Typical timeline: 8–9 months of consistent study to reach interview-ready standard, assuming a few focused hours most days.

How This Course Compares to Other Data Science Courses in Kanpur+

Kanpur has a smaller set of data science training options than Delhi NCR, Noida or Bengaluru, ranging from short weekend workshops to a handful of multi-month programs, and most serious learners either travel to Delhi NCR or study online. Here is an honest comparison, so you can judge the fit yourself rather than relying on marketing claims alone.
Factor This Program
Duration 8–9 months
Learning hours 150+ hours
Tools covered 15+ tools
Gen AI module Dedicated 10-hour module
Projects 5 guided + 1 capstone
Career support Resume, LinkedIn, mock interviews, hiring network
The extra duration and tool coverage exist because most hiring managers today expect candidates who are comfortable moving between Python, SQL, a BI tool and a deployment workflow depending on the task, rather than being strong in only one. Where we are not the cheapest option: shorter self-paced courses cost less. If your goal is a quick Python and Power BI refresher rather than a full career transition, a shorter program may suit you better, and it is worth being honest with yourself about which of the two you actually need.

Online vs Offline vs Hybrid — Which Should You Choose?+

All three formats cover the identical syllabus, trainers and projects — the fee is the same, so the choice comes down to your own schedule and learning preference rather than content quality. Live Online is the default format for Kanpur learners, letting working professionals join live sessions from home and fit classes around a job or other commitments. Offline classroom is available at our Delhi and Noida centres; Kanpur learners typically join live online, and because Kanpur is only about 440 km from Delhi (roughly a 6.5-hour drive), some choose to attend an occasional classroom session when they travel to Delhi NCR for work or family. Hybrid suits learners who want flexibility with occasional in-person sessions — useful if your schedule changes week to week but you still want some face-to-face time with trainers and batchmates. All formats include live instructor interaction, recorded sessions for revision, doubt-clearing support, and the same career support, so switching formats midway (where allowed) does not mean losing any part of the program.

Is this course right for you?+

If you want... Recommend
Only Python + Power BI basics A shorter course may be sufficient
Full data science career transition This program
Heavy analytics and dashboarding focus Consider Data Analytics
Business-focused analytics Consider Business Analytics
Self-paced learning Recorded course

Frequently Asked Questions

1. What is the duration of the Data Science course in Kanpur?

The program runs for 8–9 months and includes 150+ hours of learning across 90+ live sessions. Weekday and weekend batches are both available.

2. Can I learn data science without a coding background?

Yes. No prior programming experience is required. Python and SQL are taught from the beginning, and the first modules focus on Python fundamentals and SQL, which need no traditional coding background.

3. What tools are covered in this course?

15+ tools including Python, SQL, Statistics, Pandas, NumPy, Scikit-learn, TensorFlow/Keras, Power BI, Tableau, Matplotlib/Seaborn, Jupyter, Google Colab, ChatGPT, Copilot and MLflow.

4. Does the course include a Gen AI module?

Yes. Module 9 is a dedicated 10-hour module on Generative AI, LLMs and prompt engineering, covering AI-assisted SQL and Python, Copilot in Excel and Power BI, RAG basics, and verifying AI output.

5. How many projects will I complete?

Five guided projects across BFSI, e-commerce, retail, healthcare and NLP domains, plus one capstone project of your own choosing. All projects go into a portfolio you can show in interviews.

6. Are the classes live or pre-recorded?

All 90+ sessions are live and instructor-led, with recordings available afterwards for revision. Live online and classroom formats cover the identical syllabus.

7. What is the fee for the Data Science course in Kanpur?

The program fee is ₹21,500 plus 18% GST, total fee ₹25,370. This covers all sessions, materials, projects, certification and career support, with no additional charges. EMI starts from ₹4,622/month.

8. Are EMI options available?

Yes. EMI starts from ₹4,622 per month for 6 months. The exact amount, tenure and eligibility depend on the payment or financing option you choose — a counsellor can confirm your plan.

9. Is there a demo class before I enrol?

Yes. You can attend a demo session to see the teaching style, meet the trainer and review the curriculum before deciding. Contact us to book a demo.

10. Do you provide placement assistance?

We provide dedicated career and placement assistance — resume building, LinkedIn optimisation, portfolio review, interview preparation, mock interviews and opportunity sharing through our network of 850+ companies. We do not guarantee employment, as hiring decisions rest with employers.

11. Can a fresher get a data scientist job after this course?

Yes, entry-level roles are open to freshers. Employers typically expect working Python, SQL, one ML framework and a portfolio — this program is built to deliver all four. Entry-level data science salaries are indicatively ₹4–8 LPA.

12. What is the salary of a data scientist in Kanpur?

Indicative ranges are ₹4–8 LPA at fresher level, ₹8–15 LPA for 1–3 years, and ₹12–20+ LPA for 3–5 years. Kanpur salaries often sit below Delhi NCR, Noida and Bengaluru at the same experience band, though remote roles and roles with Delhi-NCR or Bengaluru-headquartered employers can pay at par. Actual salaries vary by sector, company, skills and experience.

13. What job roles can I apply for after this course?

Data Scientist, ML Engineer, Data Analyst, Business Intelligence Analyst, Data Engineer and AI/ML Research Associate. Most graduates begin as a Data Scientist, Data Analyst or ML Engineer.

14. Who is eligible for this Data Science course?

Any graduate from any discipline can enrol. No prior coding or analytics experience is needed. Final-year students, working professionals and career changers are all welcome.

15. Are the salary, placement and review figures on this page guaranteed?

Statistics are based on Uncodemy's internal records and publicly available review-platform information. Review counts and ratings may change over time. Placement and salary outcomes vary by learner, skills, experience, location, employer and market conditions. Career and placement assistance does not constitute a guarantee of employment or a specific salary package. EMI terms are subject to applicable payment or financing conditions.

16. Is classroom training available in Kanpur?

Uncodemy does not have a physical classroom centre in Kanpur. Kanpur learners join live online batches, which cover the identical syllabus, trainers and projects. The nearest classroom centres are our Delhi centre in Shakarpur and our Noida centre in Sector 1. Kanpur is roughly 440 km from Delhi, about a 6.5-hour drive, and about 80 km from Lucknow — learners who want classroom sessions typically travel to Delhi NCR, though for most Kanpur learners the live online format is the practical choice.

Why Trust This Page? Discover Why Students Choose Uncodemy

How we maintain this page

  • Content written by: Mr. Ratan
  • Content rechecked and verified by: Mr. Irshad
  • Course curriculum verified by: Mr. Irshad Khan
  • Technical content verified by: Mr. Upendra Kumar Tiwari
  • Fee verified by: Admin Department
  • Placement figures sourced from internal placement records
  • Review counts verified against respective third-party platforms
  • Last reviewed:
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Nearest Classroom Training Centres

Nearest Classroom Training Centres

Kanpur learners join Uncodemy live online batches, which cover the same syllabus, trainers and projects as classroom batches. The nearest classroom centres are our Delhi centre in Shakarpur and our Noida centre in Sector 1. Kanpur is roughly 440 km from Delhi, about a 6.5-hour drive, and about 80 km from Lucknow — learners who want classroom sessions typically travel to Delhi NCR, though for most Kanpur learners the live online format is the practical choice. Live online batches run on IST timings and include recorded sessions for revision.

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Delhi Centre — Address
2nd & 3rd Floor, Maa Katyayni Complex, MB-1E, Madhuban Rd, next to DSEU Ambedkar College, Laxmi Nagar, Shakarpur Extension, Shakarpur, Delhi, 110092
Noida Centre — Address
B 14-15, Udhyog Marg, Block B, Sector 1, Noida, Uttar Pradesh 201301
Phone9818366550
Websiteuncodemy.com
Live online for Kanpur Recorded sessions Walk-ins welcome at Delhi/Noida
📍 Nearest classrooms — Delhi (Head Office) & Noida — Open Delhi centre in Google Maps  |  Open Noida centre in Google Maps