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Read More →Built for Malda learners, Uncodemy's Data Science with Generative AI program is a fully instructor-led course that runs for 8–9 months. The syllabus covers Python, SQL, statistics, machine learning, deep learning, NLP, Power BI, Tableau and Gen AI. Sessions are conducted live online for Malda, and you can also attend classroom batches at our Delhi and Noida centres if you travel to Delhi NCR. The program includes practical projects, session recordings and dedicated career support. The current course fee is ₹21,500 + GST, and total fees are ₹25,370.
Guided by professionals carrying 8+ years of industry experience
Apply your skills on real datasets and case studies
Retain lifetime access to recordings and course material
Resume support, mock interviews and ongoing job assistance
Receive a completion certificate issued by Uncodemy
Weekday & Weekend options, available Online & Offline
Learners who complete the Uncodemy Data Science training program pick up practical command over Python, SQL, statistics, machine learning, deep learning, NLP, Power BI, Tableau and Gen AI. Once training and career preparation are completed, eligible learners can apply for relevant openings such as Data Scientist, Data Analyst or Machine Learning Engineer.
Placed at:FINELABS
Placed at:Allsoft Solutions
Placed at:Hexalog
Placed at:SmartStudy
Placed at:FINELABS
Placed at:Allsoft Solutions
Placed at:CloudFirst Digital
Placed at:Jepius Healthcare
Data science is the discipline of turning raw data into insight and prediction by bringing together statistics, programming and domain knowledge. The work spans gathering and cleaning data, training models, evaluating their performance and explaining results to decision-makers. Businesses rely on it to decode customer behaviour, forecast demand, catch fraud early, tailor recommendations and automate decisions that used to be manual.
What does a data scientist do? A data scientist pulls data out of databases and business systems, cleans and explores it, then builds and evaluates machine learning models before translating findings into recommendations the business can act on. A typical week involves writing Python and SQL, training and tuning models, walking stakeholders through metrics, and either deploying or monitoring a model running in production.
Data analytics explains what happened and why. Data science predicts what will happen next. Business analytics focuses on business processes and strategy.
| 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.
The Malda batch of the Data Science course runs for 8–9 months, spread across 90+ live sessions and 150+ hours of structured learning. It is arranged in eleven modules that build on one another — Python, SQL, statistics, data cleaning and EDA, machine learning, deep learning, NLP, Power BI and Tableau, Generative AI, and MLOps — with a dedicated module on how AI tools fit into day-to-day data science work. Each module includes hands-on practice on real datasets, and the program closes with capstone work that becomes your portfolio. Learners in Malda join live online sessions — a format that works well for students across north Bengal, working professionals, and anyone building toward analytics roles in Siliguri, Kolkata or a metro — and can also attend classroom batches at our Delhi and Noida centres if they travel to Delhi NCR.
Who should join this course:
Eligibility: Any graduate degree is accepted, in any discipline. No prior programming experience is needed — Python and SQL start from the first line of code. Comfort with basic maths helps but is not mandatory; the statistics module builds those foundations from scratch. A laptop with 8GB RAM and a stable internet connection is recommended for the practical sessions.
Pick a batch timing that fits your schedule. Book a free demo class to experience the teaching first-hand, or join our upcoming weekday and weekend live batches — designed for both working professionals and students, with flexible timings and hands-on training.
| Date | Time | Trainer | Seats Left |
|---|---|---|---|
| 28Sept | 02:00 PM – 03:00 PM | Mr. Irshad Khan | 01Seats |
| 02Oct | 10:30 AM – 11:30 AM | Ms. Rachna Verma | 02Seat |
| 06Oct | 12:00 PM – 01:00 PM | Mr. syed Najeeb | 01Seats |
| 19Oct | 07:30 PM – 08:30 PM | Mr. Upendra Kumar tiwari | 02Seat |
| Date | Time | Trainer | Seats Left |
|---|---|---|---|
| 27Sept | 03:00 PM – 05:00 PM | Mr. Irshad | 02Seats |
Seats are limited and updated daily. All timings are in IST.
The syllabus spans eleven modules and 150+ hours of learning, arranged in the order data scientists actually work — pull the data, clean it, explore it, model it, deploy it, then communicate the results. Every module wraps up with a graded practical assignment on a real dataset, and the final module brings everything together into portfolio projects.
| # | 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 | 155+ Hours | 15+ tools | |
After finishing all eleven modules, the assignments and the capstone project, you receive the Uncodemy Data Science Program Certificate. The certificate carries the program name, its duration, the tools covered and the completion date, along with a verification reference. It is issued once the required coursework and assessment are complete, serving as a formal record of successful completion of the Uncodemy Data Science program.
The certificate is issued alongside the practical work completed during the program. Learners work on assignments and projects using the Data Science tools covered in the curriculum, including Python, SQL, statistics, machine learning, deep learning, Power BI, Tableau and Gen AI. The capstone project offers a chance to apply everything covered during the training.
The Data Science course in Malda offered by Uncodemy includes a verified Uncodemy Data Science Program Certificate that can be verified online through the official Uncodemy Certificate Portal.
Uncodemy Certificate VerificationOnline Certificate Verification & Downloadcertificate.uncodemy.com_2.webp)
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Python
SQL
Statistics
Pandas
Numpy
TensorFlow/Keras
Power BITableau
ChatGPT
CopilotUncodemy is a career-first IT training institute run by Uncodemy Edutech Pvt. Ltd. It operates training centres in Delhi and Noida, along with live online classes that reach learners across India, including Malda and the wider north Bengal region. Our programs are designed for beginners, graduates, freshers and working professionals who want practical, job-relevant skills rather than theory alone.
In this Data Science program, participants work hands-on with Python, SQL, statistics, machine learning, deep learning, NLP, Power BI, Tableau, Gen AI and MLOps, and complete projects on real datasets. The training mirrors how businesses actually use data — spotting trends, building models, generating predictions and supporting decisions — so you can do the work, not just describe it. You can review the full module-by-module curriculum before enrolling.
Alongside training, Uncodemy delivers instructor-led sessions, practical assignments, project-based learning, interview preparation and career support. What that support includes — and where it stops — is laid out in our career support policy, together with the eligibility conditions published before enrolment rather than after payment.
If you are still weighing your options, Uncodemy also runs Data Analytics, Business Analyst, machine learning course and Artificial intelligence training course for Malda and West Bengal learners. Data Science and Data Analytics share several foundational modules but lead to different roles, so it is worth comparing both curricula before choosing.
Portfolio review:Your experience and guided projects are reviewed and refined into a data science 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:Python and SQL problem sets, ML 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.
The people who actually teach this course
Live online sessions for Malda learners are delivered by Upendra Kumar Tiwari, Senior Data Science Trainer at Uncodemy, who brings 15+ years of experience across Data Science, Data Analytics, Machine Learning, Deep Learning, AutoML, ML on Cloud and NLP. He is also the person who reviewed and signed off on the curriculum published on this page.
Uncodemy keeps two roles separate that most institutes merge into one. Trainers run the live sessions. Domain reviewers — specialists who do not teach the batch — independently check that the curriculum is technically accurate and current. For this program, technical content is reviewed by Upendra Kumar Tiwari. That means the trainer delivering a class is not the only person validating whether what is being taught is correct.
Every trainer and domain reviewer working with Uncodemy is listed by name, along with their domain and background — so you can look them up before you enrol, not after.
Senior Data Science Trainer
Expertise15+ years of industry experience building production machine learning systems for retail, telecom and consulting teams.
Modelling security breaches in iOS apps, dormant customer prediction and factor analysis, last-mile delivery optimisation, and credit card fraud detection.
Data Science & AI Trainer
ExpertisePython · SQL · Machine Learning · Tableau · Artificial Intelligence · Deep Learning · Power BI · MLOps
8+ years across consulting and public-sector analytics, with deep hands-on work in AI and MLOps delivery.
Built an OCR model, a disease-prediction model, and a fraud-control model deployed across every Indian state under the Ministry of Health & Welfare.
Data Science & AI Trainer
ExpertisePython · ML · DL · NLP · Power BI · Tableau · SPSS · SAS · MS-Excel · SQL · HTML · CSS
7+ years turning aviation and enterprise data into forecasting models, dashboards and AI assistants.
AI agent chat/voice bot, AI-driven data analysis, a sales-forecasting ML model, NPS data model evaluation, and a face-recognition model for biometrics.
Data Science Trainer
ExpertisePython · SQL · Excel · Power BI · Tableau · ML · DL · NLP · Time Series · IoT Devices · Prompt Engineering · Chatbots
5+ years in logistics and consumer-brand analytics, with a strong focus on time series, NLP and applied automation.
Speech-to-text using core NLP (T2S), talent acquisition research, and product launch & CMS work on keventers.com using Sparktech.
Data Science Trainer
ExpertiseAdvanced Excel · SQL · Power BI · Tableau · Python · Data Visualisation · Statistics
Trainer for the data science and analytics track at Uncodemy, working with learners on Python, SQL, Excel and BI tooling from first principles to interview-ready projects.
Guides classroom capstones on sales and customer dashboards, KPI reporting and end-to-end data cleaning workflows.
Data Science Trainer
Expertise
Data Science Trainer
Expertise
MD & CEO
ExpertiseFounder, MD & CEO of Uncodemy and GS Net Academy, with experience in education, technology leadership, research, mentorship and career development.
Leads strategic direction, academic initiatives, technology-driven education programs and mentorship across Uncodemy and GS Net Academy.
Director at Uncodemy
ExpertiseDirector at Uncodemy and founder of GvCloud Secure, with 14+ years of professional experience building scalable web, mobile and AI-driven solutions for clients across India, USA, UK, Canada, Australia and Singapore.
Leads technology strategy, scalable web and mobile solutions, AI-driven products and EdTech initiatives across Uncodemy and GvCloud Secure.
Join Uncodemy's Data Science Training for Malda learners today and build practical Data Science skills through live instructor-led classes, guided projects, assignments and structured career preparation. Begin your Data Science journey with a program that takes you from fundamentals to interview-ready in 8–9 months.
| Role | Core Tools |
|---|---|
| Data Scientist | Python, SQL, Scikit-learn, TensorFlow |
| Machine Learning Engineer | Python, TensorFlow, MLflow, Cloud |
| Data Analyst | SQL, Excel, Power BI |
| Business Intelligence Analyst | Power BI, Tableau, SQL, DAX |
| Data Engineer | Python, SQL, ETL, Cloud |
| AI/ML Research Associate | Python, PyTorch, NLP |
| Career Level / Role | Indicative 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 |
| 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 |
| If you want... | Recommend |
|---|---|
| Only Excel + Power BI basics | A shorter course may be sufficient |
| Full data science career transition | This program |
| Remote data analyst / BI role | This program |
| Siliguri / Kolkata analytics career | This program |
| Business-focused analytics | Consider Business Analytics |
| Self-paced learning | Recorded course |
The program runs for 8–9 months and includes 150+ hours of learning across 90+ live sessions. Weekday and weekend batches are both available in live online mode.
Yes. No prior programming experience is required. Python and SQL are taught from the beginning, and the first month focuses on Python fundamentals and Excel, which need no traditional coding.
15+ tools including Python | SQL | Pandas | NumPy | Scikit-learn | TensorFlow/Keras | Power BI | Tableau | Matplotlib | Seaborn | Jupyter | Google Colab | ChatGPT | Copilot | MLflow
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 verifying AI output.
Five guided projects across retail, banking, HR, e-commerce and healthcare domains, plus one capstone project of your own choosing. All projects go into a portfolio you can show in interviews.
All 90+ sessions are live and instructor-led, with recordings available afterwards for revision. Live online and classroom formats all cover the identical syllabus.
The program fee is ₹21,500 plus 18% GST. Total fee is ₹25,370. This covers all sessions, materials, projects, certification and career support, with no additional charges. EMI starts from ₹4,622/month for 6 months.
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.
Yes. You can attend a free live online demo session to see the teaching style, meet the trainer and review the curriculum before deciding. Contact us to book a demo.
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.
Yes, entry-level roles are open to freshers. Employers typically expect working Python, SQL, one ML project and a portfolio — this program is built to deliver all three. Entry-level Data Scientist salaries in India are indicatively ₹4–8 LPA, with remote-first and Kolkata roles often at the higher end of that range.
Indicative ranges are ₹4–8 LPA at entry level, ₹8–15 LPA at mid-level and ₹12–20+ LPA for senior data scientists. Local Malda salaries tend toward the lower end of these ranges, but remote roles for companies in Kolkata, Siliguri, Bengaluru or Hyderabad can pay closer to metro levels. Uncodemy does not guarantee any specific salary outcome.
Data Scientist, Machine Learning Engineer, Data Analyst, Business Intelligence Analyst, Data Engineer and AI/ML Research Associate. Most graduates begin as a Data Analyst or Junior Data Scientist.
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.
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.
No physical centre in Malda. Malda learners join our live online batches, which cover the identical syllabus, trainers and projects as classroom. The nearest classroom centres are our Delhi and Noida centres, which you can attend if you travel to Delhi NCR — most Malda learners prefer live online.
Malda learners join our live online batches, which cover the identical syllabus, trainers and projects as classroom. If you prefer in-person learning or are relocating to Delhi NCR, the nearest classroom centres are our Delhi and Noida centres — you can attend classroom sessions there. For most Malda-based learners, live online is the practical choice — it removes travel and lets you learn from the same trainers and curriculum.
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