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Read More →Learners based in nanded can enrol in Uncodemy's Data Science with Generative AI program — an instructor-led course running 8–9 months that spans Python, SQL, statistics, machine learning, deep learning, Power BI, Tableau and Gen AI. Classes are conducted live online for nanded participants, while classroom seats remain available at the Delhi and Noida centres for anyone who travels to Delhi NCR. Real project work, recorded lessons and career-support services are all part of the program. The course fee currently stands at ₹21,500 + GST, making the total ₹25,370.
Trainers with 8+ years of industry experience guide every session
Sharpen your skills with hands-on projects and case studies
Recordings and study material remain available to you for life
Resume building, mock interviews and ongoing career guidance
Earn a certificate of completion from Uncodemy
Weekday or weekend batches, online and in classroom
Learners who finish Uncodemy's Data Science training develop practical ability across Python, SQL, statistics, machine learning, deep learning, NLP, Power BI, Tableau and Gen AI. Once the learning and career-preparation stages are complete, eligible learners can pursue roles such as Data Scientist, Data Analyst or Machine Learning Engineer. Placement records for nanded learners are updated at regular intervals — verified outcomes are available at uncodemy.com/placement.
Placed at:Makeo
Placed at:HSBC
Placed at:Fiserv
Placed at:Fis
Placed at:Access Meditech
Placed at:Genpact
Placed at:Capgemini
Placed at:Allsoft Solutions
Placed at:Vitraya Technologies
Data Science brings together statistics, programming and domain knowledge to turn data into useful insights and predictions. The discipline covers gathering and preparing data, building models, judging their performance and communicating findings clearly. 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 pulls information from databases and business systems, cleans and explores it, builds and tests machine learning models, and turns the results into business recommendations. Day to day, that means writing Python and SQL, training and refining models, discussing metrics with stakeholders, and deploying or monitoring models in production.
Data analytics looks at what has already happened and why. Data science predicts what may happen next. Business analytics applies that analysis to shape processes and business strategy.
| Aspect | Data Analytics | Data Science | Business Analytics |
|---|---|---|---|
| Central question | What happened, and why? | What will happen next? | What should the business do? |
| Level of coding | Low to moderate | High | Low |
| Typical starting salary | ₹3–6 LPA | ₹4–8 LPA | ₹4–7 LPA |
| Time to become job-ready | 6–7 months | 8–9 months | 5–6 months |
These salary ranges are indicative and depend on role, skills, experience, location and employer.
The Data Science course for nanded learners spans 8–9 months and offers 90+ live sessions with 150+ hours of learning. Its eleven modules move through Python, SQL, statistics, data cleaning and EDA, machine learning, deep learning, NLP, Power BI, Tableau, Generative AI and MLOps, with dedicated attention to the everyday use of AI tools in data science. Every module includes practical work on real datasets, and the program closes with guided projects and a capstone project for your portfolio. nanded learners attend live online sessions, and can use classroom access at our Delhi and Noida centres when they travel to Delhi NCR.
Who should join this course:
Eligibility: Applicants from any discipline are welcome, provided they are graduates. No earlier programming experience is required, since Python and SQL start from the basics. A little mathematical familiarity helps but is not compulsory, because the statistics module builds the foundation gradually. For practical sessions, an 8GB RAM laptop and a steady internet connection work best.
Choose a batch timing that fits your daily routine. Book a free demo class, or join an upcoming weekday or weekend live batch with flexible timings and practical teaching designed for students and working professionals. Batch dates, schedules and seat availability are refreshed regularly. Reach out to Uncodemy for the current nanded/online batch schedule. All timings follow IST.
| Date | Time | Trainer | Seats Left |
|---|---|---|---|
| 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 |
| Date | Time | Trainer | Seats Left |
|---|---|---|---|
| 28Nov | 03:00 PM – 05:00 PM | Mr. Irshad Khan | 02Seats |
Seats are limited and refreshed daily. All timings are in IST. Dates and times are placeholders for reference — please confirm current batch availability with Uncodemy before you enrol.
The syllabus spans eleven modules and 150+ hours of learning, arranged around the practical data science workflow: collect the data, prepare it, analyse it, build models, deploy them and explain the results. Every module ends with a graded assignment built on a real dataset, and the closing module pulls 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 | 150+ Hours | 15+ tools | |
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 comes alongside the practical work you complete 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.
Uncodemy's Data Science course in nanded comes with a verifiable Uncodemy Data Science Program Certificate that learners can validate online via the official Uncodemy Certificate Portal.
Uncodemy Certificate Verification Online Certificate Verification & Download certificate.uncodemy.com_2.webp)
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Python
SQL
Statistics
Pandas
NumPy
Excel
Power BI
Tableau
ChatGPT
Copilot
Uncodemy runs training centres in Delhi and Noida and serves learners across India — including nanded and the wider Maharashtra region — through live online classes. Courses are designed for beginners, graduates, freshers and working professionals who want practical skills they can use in real jobs.
In this Data Science program, learners work hands-on with Python, SQL, statistics, machine learning, deep learning, NLP, Power BI, Tableau, Gen AI and MLOps through projects that use real datasets. The training demonstrates how businesses spot patterns, build models, produce forecasts and back their decisions with data. You can go through the full module-by-module curriculum before you enrol.
Uncodemy also provides instructor-led classes, practical assignments, project work, interview preparation and career support. Our career support policy sets out what this assistance covers and what it does not, along with the eligibility conditions published ahead of enrolment.
If you are weighing up a different career route, Uncodemy also offers Data Analytics, Business Analyst, Machine Learning and Artificial Intelligence training courses for learners in nanded and across Maharashtra. Data Science and Data Analytics overlap in the basics but lead to different job roles, so compare both curricula before choosing.
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 behavioural 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.
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.
Senior Data Science Trainer
ExpertiseMore than 15 years of industry experience building production machine learning systems for retail, telecom and consulting teams.
Modelling security breaches in iOS apps, predicting dormant customers 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
Over 8 years in consulting and public-sector analytics, with extensive hands-on work in AI and MLOps delivery.
Built an OCR model, a disease-prediction model and a fraud-control model rolled out 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
More than 7 years turning aviation and enterprise data into forecasting models, dashboards and AI assistants.
An AI agent chat and 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
Over 5 years in logistics and consumer-brand analytics, with a strong emphasis on time series, NLP and applied automation.
Speech-to-text built on core NLP (T2S), talent acquisition research, and product launch and CMS work on keventers.com using Sparktech.
Data Science Trainer
ExpertiseAdvanced Excel · SQL · Power BI · Tableau · Python · Data Visualisation · Statistics
Trainer on the data science and analytics track at Uncodemy, guiding learners through Python, SQL, Excel and BI tools, from first principles to interview-ready projects.
Mentors 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 a background spanning education, technology leadership, research, mentorship and career development.
Sets strategic direction and leads academic initiatives, technology-driven education programs and mentorship across Uncodemy and GS Net Academy.
Director at Uncodemy
ExpertiseDirector at Uncodemy with more than 14 years of professional experience building scalable web, mobile and AI-driven solutions for clients in India, the USA, the UK, Canada, Australia and Singapore.
Directs technology strategy, scalable web and mobile solutions, AI-driven products and EdTech initiatives across Uncodemy and GvCloud Secure.
Enrol in Uncodemy's Data Science Training for nanded 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.
| Role | Core Tools |
|---|---|
| Data Scientist | Python, SQL, Machine Learning |
| ML Engineer | Python, ML, MLOps |
| Data Analyst | SQL, Python, Power BI/Tableau |
| Business Intelligence Analyst | SQL, Power BI, Tableau |
| Data Engineer | SQL, Python, Data Engineering tools |
| AI/ML Research Associate | Python, ML, Deep Learning |
| 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 |
| Factor | Uncodemy |
|---|---|
| Duration | 8–9 Months |
| Learning Hours | 150+ Hours |
| Live Sessions | 90+ |
| Tools | 15+ |
| Gen AI Module | Yes |
| Projects | 5 Guided + 1 Capstone |
| Career Support | Dedicated Career & Placement Assistance |
| Format | Best for | Considerations |
|---|---|---|
| Live Online | nanded learners, working professionals, students | No travel needed, flexible schedule, live interaction, recorded sessions, identical syllabus and projects |
| Offline (Delhi/Noida) | Learners who can travel to NCR | Face-to-face doubt clearing and a classroom setting, but requires travel or relocation |
| Hybrid | Learners splitting time between nanded and NCR | Occasional classroom attendance combined with live online |
| If you want... | Course format / suitability |
|---|---|
| Learn Data Science from basics | Suitable |
| Build Python + ML skills | Suitable |
| Learn Gen AI | Suitable |
| Work on guided projects | Suitable |
| Attend live classes from nanded | Live Online |
| Attend physical classroom training | Delhi/Noida centres |
| Switch career into Data Science | Requires steady practice |
| Guaranteed employment | Not guaranteed |
Uncodemy
A complete data science project that builds a recommendation engine combining content-based and collaborative filtering with Python, Pandas and Scikit-learn. It covers data cleaning, feature engineering, similarity computation and an interactive recommendation interface.
Python
Pandas
Jupyter Notebook
GitHub
Uncodemy
A full machine learning project that flags fraudulent credit card transactions using classification algorithms. It covers handling imbalanced data, feature selection, model training, evaluation metrics and a real-time fraud prediction pipeline.
Python
Pandas
Jupyter Notebook
SQL
Uncodemy
A predictive analytics project that forecasts employee attrition with machine learning models. It includes exploratory data analysis, feature engineering, model building, hyperparameter tuning and practical HR insights for reducing attrition.
Python
Pandas
Jupyter Notebook
GitHub
Uncodemy
An advanced agentic AI project that researches topics on its own, pulls information from multiple sources, summarises findings and produces structured research reports using large language models and tool calling.
Python
Jupyter Notebook
GitHub
SQL
Uncodemy
A smart AI-driven interview agent that runs technical interviews, assesses candidate answers in real time, gives feedback scores and produces detailed performance reports using NLP and LLMs.
Python
Pandas
Jupyter Notebook
GitHub
Uncodemy
A complete regression project that predicts house prices with advanced machine learning techniques. It covers data preprocessing, feature engineering, model selection, evaluation and a deployment-ready prediction pipeline.
Python
Pandas
Jupyter Notebook
SQL
Uncodemy
A wide-ranging healthcare analytics project that examines patient data, disease trends, treatment outcomes and hospital performance using Python, SQL and advanced visualisation to surface actionable medical insights.
Python
Pandas
Jupyter Notebook
GitHub
Uncodemy
A full end-to-end recommendation system that blends collaborative filtering with content-based techniques to suggest personalised movies. Built with Python, Pandas and machine learning algorithms for accurate matching of user preferences.
Python
Pandas
Jupyter Notebook
GitHub
The program runs for 8–9 months and delivers 150+ hours of learning across more than 90 live sessions. Learners in nanded can join live online batches scheduled on weekdays or weekends.
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.
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.
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.
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.
All 90+ sessions are conducted live by instructors, with recordings available afterwards for revision. The live online and classroom formats follow the same syllabus.
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.
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.
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.
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.
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 nanded are indicatively ₹4–8 LPA.
Indicative ranges for nanded 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.
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.
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.
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.
There is no physical centre in nanded. 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 nanded learners opt for live online.
Learners in nanded 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 nanded-based learners, online classes cut out travel while keeping the same curriculum and teaching team.
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