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🔥 Trending in Murshidabad

Data Science Certification Program in Murshidabad Including Gen AI from Uncodemy

Students in Murshidabad can enroll in Uncodemy's Data Science with Generative AI program, an 8–9 month instructor-led course covering Python, SQL, statistics, machine learning, deep learning, Power BI, Tableau and Gen AI. Classes are delivered live online for Murshidabad participants, while classroom access is available at the Delhi and Noida centres for those who travel to Delhi NCR. The program features real project work, recorded sessions and career-support services. The current course fee is ₹21,500 + GST, totaling ₹25,370.

⚡ LIMITED TIME OFFER

Limited Deal: Data Science with AI

Pay Just
₹21,500/-
+GST
Two-Class Trial
Join Two Classes
No Concealed Fees
Fully Transparent
EMI OPTION
From ₹4,622/M
Enter Your Information
🔒 Your data is kept private and safe.

Skilled Instructors

Learn from professionals with over 8 years of experience

Real-World Projects

Develop skills via practical projects and case studies

Permanent Access

Retain permanent access to recordings and study materials

Focused Career & Placement Support

Resume building, mock interviews and career guidance

Certification Program

Obtain an Uncodemy completion certificate

Adaptable Batch Options

Online and classroom batches available on weekdays or weekends

Why Select
Uncodemy?

14+
Years of Training Distinction
850+
Companies in Our Hiring Network
54,000+
Students Trained
200+
Corporate Partnerships
100%
Placement Assistance
Online & Classroom Sessions
Weekend & Weekday Batches
Completely Practical Training
Reasonable Fees
EMI Options Offered
Dedicated Assistance

Course Details

Data Science course with AI — Training & Placement Program Experiential learning focused on applied Data Science abilities and interview preparation.
A thorough 8–9 month instructor-led program spanning Python, SQL, Statistics, Machine Learning, Deep Learning, Power BI, Tableau and Gen AI, along with hands-on projects, mentoring and career guidance.
📚 Study:
150+ Hours of Study
⏱️ Course Length:
8–9 Months
🎓 Live Instruction:
90+ Live Sessions
🛠️ Tools Covered:
15+ Tools & Technologies
💼 Hands-on Learning:
Practical Projects & Case Studies
💰 Course Fee:
₹21,500 + 18% GST
💰 Total Cost:
₹25,370
💳 EMI:
Starting at ₹4,622/Month*
🚀 Career Assistance:
Dedicated Career & Placement Support
🏢 Hiring Network:
850+ Companies in Our Network
🎯 Career Support Covers:
Resume Building & LinkedIn Optimization, Mock Interviews & Interview Preparation, Career Guidance & Job Opportunity Support

Data Science Course in Murshidabad — Fast Facts

🎓 Program:
Data Science with Gen AI
🏢 Institute:
Uncodemy Edutech Pvt. Ltd.
📚 Total Study:
150+ Hours
📖 Syllabus:
11 Modules
💼 Projects:
5 Guided + 1 Capstone
🛠️ Tools:
Python, SQL, Statistics, Machine Learning, Deep Learning, Power BI/Tableau, Gen AI
🌐 Delivery Modes:
Live Online for Murshidabad (Classroom only at Delhi & Noida centres)
✅ Previous Coding:
Not Required
📜 Certification:
Uncodemy Program Certificate
🗓️ Last Reviewed:
3 October 2026

List of Placed Students Trained by Uncodemy

Students who finish Uncodemy's Data Science training develop practical skills in Python, SQL, statistics, machine learning, deep learning, NLP, Power BI, Tableau and Gen AI. Once the learning and career-readiness stages are complete, eligible learners can seek roles such as Data Scientist, Data Analyst or Machine Learning Engineer. Placement records for Murshidabad learners are updated regularly — see verified outcomes at uncodemy.com/placement.

Rahul Gupta
4.5 LPA
India

Rahul Gupta

Data Scientist

Placed at:Makeo

Data Science Batch
Batch: DS/DA Weekend July Batch 10 AM
View placement record
Aarav
5.5 LPA
India

Aarav

Data Scientist

Placed at:HSBC

Data Science Batch
Batch: DS/12/0823/IR WE 12 PM
View placement record
Manjeet Pathak
6.5 LPA
India

Manjeet Pathak

Data Scientist

Placed at:Fiserv

Data Science Batch
Batch: DS/DA Weekend July Batch 10 AM
View placement record
Aman
6.8 LPA
India

Aman

Data Scientist

Placed at:Fis

Data Science Batch
Batch: DS/WD/S 08:00 PM 08 JAN-UC
View placement record
Shahid
4.8 LPA
India

Shahid

Data Scientist

Placed at:Access Meditech

Data Science Batch
Batch: DS/DA Weekend July Batch 10 AM
View placement record
Sagar Thakur
6.0 LPA
Noida

Sagar Thakur

Data Scientist

Placed at:Genpact

Data Science Batch
Batch: DS/09/UP WD 12:30 PM
View placement record
Abhay
5.5 LPA
Murshidabad

Abhay

Data Scientist

Placed at:Capgemini

Data Science Batch
Batch: DS/09/0823/S WD 7PM
View placement record
Abhay
4.8 LPA
India

Ashish Butola

Data Scientist

Placed at:Allsoft Solutions

Data Science Batch
Batch: (DS/12/0823/IR) WE 12 PM
View placement record
Sahil
3.8 LPA
Mohali

Sahil

Data Scientist

Placed at:Vitraya Technologies

Data Science Batch
Batch: DS/12/0823/IR WE 12 PM
View placement record

What is Data Science?

Data Science blends statistics, programming and domain expertise to transform data into valuable insights and predictions. The discipline covers data gathering and preparation, model creation, performance assessment and clear communication of results. Organisations use it to study customer behaviour, forecast demand, spot fraud, personalise recommendations and automate decisions that once needed manual work.

What does a data scientist do? A data scientist collects information from databases and business systems, cleans and explores it, builds and tests machine learning models, and converts the findings into business recommendations. Their daily tasks involve writing Python and SQL, training and refining models, discussing metrics with stakeholders, and deploying or monitoring models in production.

Data Analytics vs Data Science vs Business Analytics

Data analytics looks at past events and their causes. Data science predicts possible future outcomes. Business analytics applies analysis to guide processes and business strategy.

Aspect Data Analytics Data Science Business Analytics
Main question What occurred, and why? What will occur next? What action should the business take?
Coding intensity Low to medium High Low
Common entry salary ₹3–6 LPA ₹4–8 LPA ₹4–7 LPA
Time until job-ready 6–7 months 8–9 months 5–6 months

These salary ranges are indicative and differ by role, skills, experience, location and employer.

Program Overview

The Data Science course for Murshidabad students spans 8–9 months and offers 90+ live sessions with 150+ hours of study. Its eleven modules cover Python, SQL, statistics, data cleaning and EDA, machine learning, deep learning, NLP, Power BI, Tableau, Generative AI and MLOps, with particular emphasis on routine use of AI tools in data science. Every module includes practical work on real datasets, and the program concludes with guided projects and a capstone project for your portfolio. Murshidabad learners join live online sessions, and can use classroom access at our Delhi and Noida centres when visiting Delhi NCR.

Who should enroll in this course:

  • Recent graduates from any stream — B.Com, BBA, B.Sc, B.Tech, BA, BCA — seeking an entry into data science or analytics.
  • Working professionals in operations, sales, finance, HR or marketing who already handle data and wish to formalize the skill.
  • Career changers transitioning from non-technical roles into a data role.
  • MIS and reporting executives looking to advance from Excel into Python, SQL, ML and BI tools.
  • Learners based in Murshidabad who prefer live online training or can travel to Delhi/Noida for classroom sessions.

Eligibility: Graduates from any discipline may apply. No prior programming experience is required, as Python and SQL are taught from the basics. Basic mathematical familiarity is helpful but not mandatory, because the statistics module builds the foundation gradually. For practical sessions, an 8GB RAM laptop and a stable internet connection are recommended.

Future Data Science Course Batches in Murshidabad

Choose a batch timing that fits your schedule. Book a free demo class or join an upcoming weekday or weekend live batch, with flexible timings and hands-on instruction for students and working professionals. Batch dates, schedules and seat availability are refreshed regularly. Contact Uncodemy for the current Murshidabad/online batch schedule. All timings are in IST.

Weekdays

Date Time Instructor Available Seats
06Oct 12:00 PM – 01:00 PM Mr. Syed Najeeb 01Seats
19Oct 07:30 PM – 08:30 PM Mr. Upendra Kumar Tiwari 02Seat
26Oct 02:00 PM – 03:00 PM Mr. Irshad Khan 01Seats
02Nov 10:30 AM – 11:30 AM Ms. Rachna Verma 02Seat

Weekends

Date Time Instructor Available Seats
28Nov 03:00 PM – 05:00 PM Mr. Irshad Khan 02Seats

Seats are limited and updated daily. All timings are in IST. Dates and times are indicative placeholders — confirm current batch availability with Uncodemy before you enroll.

Curriculums for Data Science Training Programs in Murshidabad

Data Science Course Syllabus in Murshidabad

The syllabus comprises eleven modules with 150+ hours of study, following the practical data science workflow: acquire the data, prepare it, analyze it, build models, deploy them and explain the results. Every module ends with a graded assignment based on a real dataset, and the final module integrates the learning into portfolio projects.

Module 1: Python for Data Science — 20 Hours

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

Module 2: SQL & Database Management — 15 Hours

  • Relational database concepts, ER diagrams, normalization
  • SELECT, WHERE, ORDER BY, GROUP BY, HAVING
  • Every join type: inner, left, right, full outer, self, cross
  • Subqueries and Common Table Expressions (CTEs)
  • Window functions: ROW_NUMBER, RANK, LEAD, LAG
  • Linking SQL databases to Python

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

  • Summary statistics: average, median, variance, standard deviation
  • Likelihood basics and data spreads
  • Sample selection and the Central Limit Theorem
  • Significance testing: probability values, confidence ranges, t-tests, chi-square, ANOVA
  • Basics of relationship and regression
  • Split testing in business scenarios

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

  • Assessing and profiling data quality
  • Missing value treatment: deletion, filling, flagging
  • Detecting and treating anomalies
  • Creating attributes and grouping
  • Single-variable, two-variable and multi-variable analysis
  • Relationship heat maps and how to structure an EDA report

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

  • Linear and logistic regression
  • Decision trees, random forests and ensemble techniques
  • Support Vector Machines and K-Nearest Neighbours
  • K-Means grouping, hierarchical grouping and PCA
  • Assessing models: accuracy, precision, recall, F1, ROC-AUC
  • Cross-checking, parameter optimization and workflows

Module 6: Deep Learning & Neural Networks — 15 Hours

  • Perceptrons, activation functions and backpropagation
  • Getting started with TensorFlow and Keras
  • Feed-forward neural networks and regularization
  • Convolutional Neural Networks (CNNs) for image data
  • Recurrent Neural Networks (RNNs) and LSTMs for sequence data
  • Transfer learning and model fine-tuning

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

  • Text preprocessing: tokenization, stemming, lemmatization
  • Bag of Words, TF-IDF and word embeddings
  • Sentiment analysis and text categorization
  • Named Entity Recognition (NER)
  • Topic modeling with LDA
  • An introduction to transformers and BERT

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

  • Power BI: linking to Excel, SQL, CSV and web sources
  • Data modeling, relationships and DAX calculations
  • Designing dashboards with filters, slicers and drill-through
  • Tableau: dimensions, measures, calculated fields
  • Filters, groups, sets, parameters and dashboards
  • Publishing dashboards for review by business stakeholders

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

  • Prompt engineering for everyday data tasks
  • Using AI help to generate and debug SQL and Python
  • Copilot in Excel and Power BI
  • Drafting reports and insight summaries with AI assistance
  • Checking AI output: hallucinations, incorrect aggregations, false confidence
  • Data privacy, and what must never be pasted into a public AI tool

Module 10: MLOps & Model Deployment — 8 Hours

  • Tracking experiments and versions with MLflow
  • Packaging models using Flask/FastAPI
  • Deploying models to the cloud (AWS/GCP/Azure essentials)
  • Watching model performance and detecting drift
  • CI/CD fundamentals for ML pipelines
  • Retraining approaches and data versioning

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

  • A full end-to-end capstone project using a real business dataset
  • Creating a GitHub showcase and dashboard display
  • Writing a data science CV and optimizing LinkedIn
  • Practice with SQL and case-study interviews
  • Practice interviews followed by feedback
# Module Hours Tools
1 Python for Data Science 20 Python, Pandas, NumPy
2 SQL & Database Management 15 MySQL
3 Statistics & Probability for Data Science 15 Excel, Python
4 Data Cleaning & EDA 12 Python, Pandas
5 Machine Learning (Supervised & Unsupervised) 25 Scikit-learn
6 Deep Learning & Neural Networks 15 TensorFlow, Keras
7 Natural Language Processing (NLP) 10 NLTK, spaCy
8 Power BI & Tableau for Data Science 15 Power BI, Tableau
9 Generative AI, LLMs & Prompt Engineering 10 ChatGPT, Copilot
10 MLOps & Model Deployment 8 MLflow, Flask, Cloud
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 Murshidabad

Once you complete all eleven modules, the assignments and the capstone project, you are awarded the Uncodemy Data Science Program Certificate. It lists the program name, duration, tools covered and completion date, along with a verification reference. The certificate is issued after the required coursework and assessment are finished, confirming successful completion of the Uncodemy Data Science program.

The certificate is provided alongside the practical work completed during the program. Learners apply the Data Science tools taught in the curriculum — Python, SQL, statistics, machine learning, deep learning, Power BI, Tableau and Gen AI — across their assignments and projects. The capstone project gives learners the chance to apply training concepts in practice.

Key Benefits of Our Data Science Certification:

  • Program Completion: Offers a record confirming successful completion of the Data Science program.
  • Online Verification: Each certificate carries a verification reference that can be checked online.
  • Practical Learning: Training includes assignments, projects and a capstone built with Data Science tools.

Uncodemy's Data Science course in Murshidabad comes with a verifiable Uncodemy Data Science Program Certificate that learners can validate online via the official Uncodemy Certificate Portal.

Verify Uncodemy Certificate 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 examined and polished into a data science portfolio that holds up in an interview.

Resume & LinkedIn: We shape your resume around the right keywords and measurable results, then align your LinkedIn profile to match.

Interview preparation: Python and SQL problem sets, machine learning case studies and behavioral questions tailored to data science hiring.

Mock interviews: Practice sessions with industry trainers, followed by written feedback on what to improve.

Opportunity sharing: We pass on relevant openings from our network of 850+ companies and support you through the application and interview stages.

Continued support: This is active assistance rather than a job guarantee — no training institute can honestly promise employment. Support carries on after your program ends for learners who remain engaged with the process.

Instructors

The people who genuinely teach this course

Uncodemy keeps two roles apart. Trainers deliver the live lessons, while domain reviewers are specialists who do not teach the batch and independently verify that the curriculum stays accurate and up to date. Mr. Upendra Kumar Tiwari reviews the technical content for this Data Science program, which means teaching delivery is not the only quality check.

Uncodemy publishes the names, areas of expertise and backgrounds of its trainers and domain reviewers, so learners can look them up before enrolling.

Enroll in Our Data Science Training in Murshidabad Today!

Enroll in Uncodemy's Data Science Training for Murshidabad learners and build practical Data Science and Gen AI skills through live online teaching, real project work and focused career support. Book a demo or trial class to experience the teaching style before you commit.

Data Scientist Jobs and Career Scope in Murshidabad+

Murshidabad is a key education and commercial centre in Maharashtra, with activity spanning manufacturing, IT, education, healthcare, retail, financial services, logistics and business services. Data Science skills apply in these sectors for demand forecasting, quality analysis, customer insights, operational reporting and process automation. Learners can look for local roles, work remotely for employers in Delhi NCR, Noida, Bengaluru, Hyderabad and Mumbai, or travel to nearby commercial hubs for on-site positions. Employers increasingly look for working Python and SQL knowledge plus at least one ML project, and this program is built to help you assemble that portfolio. Murshidabad learners typically join live online batches that carry the same syllabus, trainers and projects as classroom training.

Job Roles After This Course+

This course opens the door to roles such as Data Scientist, Machine Learning Engineer, Data Analyst, Business Intelligence Analyst, Data Engineer and AI/ML Research Associate. All of them rely on core skills like Python, SQL, statistics and visualisation, but they vary in how much modelling and AI work they involve.
RoleCore Tools
Data ScientistPython, SQL, Machine Learning
ML EngineerPython, ML, MLOps
Data AnalystSQL, Python, Power BI/Tableau
Business Intelligence AnalystSQL, Power BI, Tableau
Data EngineerSQL, Python, Data Engineering tools
AI/ML Research AssociatePython, ML, Deep Learning
Many graduates begin as Data Analysts or Junior Data Scientists and move into specialised roles as experience grows. Completing the course does not guarantee any particular job title, because outcomes depend on skills, experience, interview performance and hiring conditions.

Data Scientist Salary in Murshidabad — Experience-wise+

The table below shows an indicative, Murshidabad-realistic expectation rather than verified salary data specific to Murshidabad. Actual pay can differ according to role, skills, experience, employer, interview performance and market conditions.
LevelSalary 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 differ by role, skills, experience, location and employer. Uncodemy does not guarantee any specific salary or employment outcome.

Top Hiring Sectors for Data Scientists in Murshidabad+

Murshidabad's economy generates demand for data skills across a number of industries. Employers in these fields usually look for practical Python and SQL knowledge together with at least one ML project.
  • Manufacturing — quality analytics, production forecasting and supply-chain reporting across automotive, engineering and hardware.
  • IT and software services — product analytics, customer behaviour modelling and operational reporting for tech firms and startups.
  • Education — student performance analytics, enrolment forecasting and operational reporting for schools, colleges and coaching centres.
  • Healthcare — clinical data analysis, patient-flow reporting and hospital operations analytics.
  • Retail, e-commerce and financial services — sales analytics, inventory forecasting, customer segmentation, credit analytics and risk reporting for local and regional firms.
Uncodemy makes no claim of verified employer partnerships or hiring figures specific to Murshidabad. Learners should check current openings directly with employers.

How to Become a Data Scientist — Step by Step+

Becoming a data scientist calls for gradual skill building rather than a single course. Skipping key stages tends to leave gaps that surface later in interviews or on the job.
  • Learn Python — data types, loops, functions, Pandas and NumPy — because Python is the working language of nearly every data science role.
  • Learn Statistics — descriptive statistics, probability, distributions and hypothesis testing — so your conclusions stand up when challenged.
  • Learn SQL — joins, aggregations, subqueries and window functions — since nearly every role begins with pulling and shaping data from a database.
  • Learn Machine Learning — regression, classification, clustering and model evaluation — using Scikit-learn on real datasets.
  • Learn Deep Learning — neural networks, CNNs and RNNs with TensorFlow or Keras — to work with image, text and sequence data.
  • Build Portfolio Projects — three to five of them, each framed around a business question with a model or recommendation, ideally from a sector you want to join.
  • Prepare for Interviews — Python and SQL practice, ML case-study rehearsal, and a targeted resume and LinkedIn profile that showcase outcomes rather than just tools.
Typical timeline: 8–9 months of steady study to reach interview readiness, assuming a few focused hours on most days rather than occasional cramming.

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

Murshidabad and the wider Maharashtra region offer a range of data science training options, differing in depth, cost and teaching quality. The comparison below can help you judge which option suits you.
FactorUncodemy
Duration8–9 Months
Learning Hours150+ Hours
Live Sessions90+
Tools15+
Gen AI ModuleYes
Projects5 Guided + 1 Capstone
Career SupportDedicated Career & Placement Assistance
Uncodemy is not necessarily the least expensive option. Before selecting a course, learners should compare curriculum coverage, live instruction, projects, tools, trainer experience, career support, fees and learning format.

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

For learners in Murshidabad, live online is usually the most practical route. Classroom training is offered at our Delhi and Noida centres, while Murshidabad learners mostly attend online.
FormatBest forConsiderations
Live OnlineMurshidabad learners, working professionals, studentsNo commute, flexible schedule, live interaction, recorded sessions, same syllabus and projects
Offline (Delhi/Noida)Learners who can travel to NCRIn-person doubt clearing, classroom environment, but requires commute or relocation
HybridLearners splitting time between Murshidabad and NCROccasional classroom sessions plus live online
Every format includes live instructor interaction, recordings for revision, doubt-clearing support and the same career assistance. Where a format change is permitted, switching midway does not take away any part of the program.

Is this course right for you?+

If you want...Course format / suitability
Learn Data Science from basicsSuitable
Build Python + ML skillsSuitable
Learn Gen AISuitable
Work on guided projectsSuitable
Attend live classes from MurshidabadLive Online
Attend physical classroom trainingDelhi/Noida centres
Switch career into Data ScienceRequires consistent practice
Guaranteed employmentNot guaranteed

Frequently Asked Questions

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

The program runs for 8–9 months and delivers 150+ hours of learning across more than 90 live sessions. Learners in Murshidabad can join live online batches scheduled on weekdays or weekends.

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

Yes. You do not need any prior programming experience. Python and SQL are taught from scratch, and the opening month focuses on Python fundamentals and Excel, which require no traditional coding background.

3. What tools are covered in this course?▼

More than 15 tools, including Python, SQL, 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 coding, model evaluation, RAG basics and how to check AI-generated output.

5. How many projects will I complete?▼

You will complete five guided projects spanning retail, banking, HR, e-commerce and healthcare, plus one capstone project of your own choosing. All of it can be organised into a portfolio for interviews.

6. Are the classes live or pre-recorded?▼

All 90+ sessions are conducted live by instructors, with recordings available afterwards for revision. The live online and classroom formats follow the same syllabus.

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

The program fee is ₹21,500 plus 18% GST, making the total ₹25,370. This covers every session, materials, projects, certification and career support, with nothing extra to pay. EMI starts from ₹4,622/month over 6 months — EMI includes applicable interest/processing charges; the final plan is confirmed by a counsellor.

8. Are EMI options available?▼

Yes. EMI begins at ₹4,622 per month for 6 months. The exact amount, tenure and eligibility depend on the payment or financing option you select — a counsellor can confirm the details.

9. Is there a demo class before I enrol?▼

Yes. You can attend a free live online demo to see the teaching approach, meet the trainer and go through the curriculum before you decide. Get in touch with us to book a demo.

10. Do you provide placement assistance?▼

Our dedicated career and placement assistance covers resume building, LinkedIn optimisation, portfolio feedback, interview preparation, mock interviews and sharing opportunities through our network of 850+ companies. Employment itself is not guaranteed, since hiring decisions rest with employers.

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

Yes, freshers can apply for entry-level roles. Employers generally look for working Python and SQL skills, one ML project and a portfolio — this program is designed to deliver all three. Entry-level Data Scientist salaries in Murshidabad are indicatively ₹4–8 LPA.

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

Indicative ranges for Murshidabad sit at ₹4–8 LPA at entry level, ₹8–15 LPA at mid-level and ₹12–20+ LPA for senior data scientists. Actual pay differs by sector, company, skills and experience. Uncodemy does not guarantee any particular salary outcome.

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

Data Scientist, Machine Learning Engineer, Data Analyst, Business Intelligence Analyst, Data Engineer and AI/ML Research Associate. Most graduates start out as a Data Analyst or Junior Data Scientist.

14. Who is eligible for this Data Science course?▼

Graduates from any discipline can enrol, and 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?▼

These figures come from Uncodemy's internal records and publicly available review-platform information. Review counts and ratings can change over time. Placement and salary outcomes vary by learner, skills, experience, location, employer and market conditions. Career and placement assistance is not a guarantee of employment or of any specific salary package. EMI terms are subject to applicable payment or financing conditions.

16. Is classroom training available in Murshidabad?▼

There is no physical centre in Murshidabad. Learners there can join live online batches that share the same syllabus, trainers and projects as classroom training. The closest classroom centres are Delhi and Noida for those travelling to Delhi NCR, though most Murshidabad learners opt for live online.

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Nearest Classroom Training Centres

Nearest Classroom Training Centres

Learners in Murshidabad can join live online batches that use the same syllabus, trainers and projects as classroom training. Anyone who prefers in-person study, or plans to move to Delhi NCR, can attend the Delhi or Noida centres. For most Murshidabad-based learners, online classes cut out travel while keeping the same curriculum and teaching team.

Open now
Noida Centre
B, 14-15, Udhyog Marg, Block B, Sector 1, Noida, Uttar Pradesh 201301
Delhi Centre
2nd & 3rd Floor, Maa Katyayni Complex, MB-1E, Madhuban Rd, next to DSEU Ambedkar College, Laxmi Nagar, Shakarpur Extension, Shakarpur, Delhi, 110092
Free demo class Walk-ins welcome
📍 Nearest classroom centres: Noida & Delhi — Open Noida in Google Maps | Open Delhi in Google Maps
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