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Read More →Learners based in aizwal can enrol in Uncodemy's Data Science with Generative AI program — an 8–9 month instructor-led course spanning Python, SQL, statistics, machine learning, deep learning, Power BI, Tableau and Gen AI. Classes are conducted live online for aizwal participants, and classroom access is available at the Delhi and Noida centres for those who travel to Delhi NCR. The program features hands-on project work, recorded lessons and career-support services. The present course fee stands at ₹21,500 + GST, bringing the total to ₹25,370.
Learn alongside professionals with 8+ years of experience
Build skills through live projects and case studies
Keep lifetime access to recordings and learning materials
Resume development, mock interviews and career support
Receive an Uncodemy completion certificate
Online and classroom batches on weekdays or weekends
Graduates of Uncodemy's Data Science training develop hands-on capability in 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 aizwal learners are updated regularly — 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 blends statistics, programming and subject-matter expertise to transform data into useful insights and predictions. The discipline covers gathering and preparing data, constructing models, assessing their performance and communicating findings clearly. Businesses rely on it to study customer behaviour, forecast demand, uncover fraud, tailor recommendations and automate decisions that were previously handled manually.
What does a data scientist do? A data scientist collects information from databases and business systems, cleans and explores it, develops and evaluates machine learning models, and converts the results into business recommendations. Day-to-day work involves writing Python and SQL, training and improving models, discussing metrics with stakeholders, and deploying or monitoring models in production.
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 |
|---|---|---|---|
| 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 Data Science course for aizwal learners spans 8–9 months and offers 90+ live sessions with 150+ hours of instruction. 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 a dedicated emphasis on using AI tools in everyday data science work. Every module includes practical exercises on real datasets, and the program concludes with guided projects and a capstone project for your portfolio. aizwal learners attend live online sessions, with classroom access at our Delhi and Noida centres when travelling to Delhi NCR.
Who should join this course:
Eligibility: Graduates from any discipline can apply. Previous programming experience is not needed because Python and SQL are introduced from the fundamentals. Basic mathematical familiarity is helpful but optional, as the statistics module develops the foundation step by step. Practical sessions are best supported by an 8GB RAM laptop and a stable internet connection.
Select a batch timing that fits your daily schedule. Reserve a free demo class or join an upcoming weekday or weekend live batch, with flexible timings and practical teaching for students and working professionals. Batch dates, schedules and seat availability are refreshed regularly. Reach out to Uncodemy for the latest aizwal/online batch schedule. All timings are in IST.
| Date | Time | Trainer | Seats Left |
|---|---|---|---|
| 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 |
| 09Nov | 12:00 PM – 01:00 PM | Mr. Syed Najeeb | 01Seats |
| Date | Time | Trainer | Seats Left |
|---|---|---|---|
| 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 enrolling.
The syllabus is organised into eleven modules covering 150+ hours of learning, following the practical data science workflow: obtain the data, prepare it, analyse it, build models, deploy them and explain the results. Each module closes with a graded assignment based on a real dataset, while the final module brings everything together in 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 earn the Uncodemy Data Science Program Certificate. It documents the program name, duration, tools covered and completion date, along with a verification reference. Certification is issued after the required coursework and assessment are successfully finished, providing a record of your accomplishment.
The certificate is issued together with the practical work completed during the program. Learners apply the curriculum's Data Science tools, including Python, SQL, statistics, machine learning, deep learning, Power BI, Tableau and Gen AI, in their assignments and projects. The capstone project gives learners the opportunity to apply training concepts in practice.
Uncodemy's Data Science course in aizwal includes a verified Uncodemy Data Science Program Certificate that learners can check online through 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 maintains training centres in Delhi and Noida while serving learners across India — including aizwal and the wider Maharashtra region — through live online classes. The courses are designed for beginners, graduates, freshers and working professionals who seek practical skills applicable to real jobs.
In this Data Science program, learners get hands-on practice with Python, SQL, statistics, machine learning, deep learning, NLP, Power BI, Tableau, Gen AI and MLOps through projects using real datasets. The training demonstrates how businesses spot patterns, construct models, generate forecasts and support decisions with data. You can review the full module-by-module curriculum before enrolling.
Uncodemy also provides instructor-led lessons, practical assignments, project work, interview preparation and career support. Our career support policy explains what that assistance includes and excludes, together with the eligibility conditions published before enrolment.
If you are exploring another career path, Uncodemy also offers Data Analytics, Business Analyst, Machine Learning and Artificial Intelligence training courses for aizwal and Maharashtra learners. Data Science and Data Analytics share some basics but lead to different career roles, so compare both curricula before selecting one.
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
Uncodemy keeps two roles distinct. Trainers deliver the live lessons, while domain reviewers are specialists who do not teach the batch and independently verify that the curriculum is accurate and current. Mr. Upendra Kumar Tiwari reviews the technical content for this Data Science program, so teaching delivery is not the sole quality check.
The names, areas of expertise and backgrounds of Uncodemy's trainers and domain reviewers are published, allowing learners to research them before enrolling.
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 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.
Enrol in Uncodemy's Data Science Training for aizwal learners and acquire practical Data Science and Gen AI skills through live online instruction, real project work and focused career support. Book a demo or trial class to experience the teaching style before you enrol.
| 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 | aizwal learners, working professionals, students | No commute, flexible schedule, live interaction, recorded sessions, same syllabus and projects |
| Offline (Delhi/Noida) | Learners who can travel to NCR | In-person doubt clearing, classroom environment, but requires commute or relocation |
| Hybrid | Learners splitting time between aizwal and NCR | Occasional classroom sessions plus 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 aizwal | Live Online |
| Attend physical classroom training | Delhi/Noida centres |
| Switch career into Data Science | Requires consistent practice |
| Guaranteed employment | Not guaranteed |
Uncodemy
An end-to-end data science project that builds a content-based and collaborative filtering recommendation engine using Python, Pandas and Scikit-learn. It includes data cleaning, feature engineering, similarity calculation and an interactive recommendation interface.
Python
Pandas
Jupyter Notebook
GitHub
Uncodemy
A complete machine learning project that detects fraudulent credit card transactions using classification algorithms. It covers data imbalance handling, feature selection, model training, evaluation metrics and real-time fraud prediction pipeline.
Python
Pandas
Jupyter Notebook
SQL
Uncodemy
A predictive analytics project that forecasts employee attrition using machine learning models. It includes exploratory data analysis, feature engineering, model building, hyperparameter tuning and actionable HR insights for reducing attrition.
Python
Pandas
Jupyter Notebook
GitHub
Uncodemy
An advanced agentic AI project that autonomously researches topics, gathers information from multiple sources, summarizes findings and generates structured research reports using large language models and tool calling.
Python
Jupyter Notebook
GitHub
SQL
Uncodemy
An intelligent AI-powered interview agent that conducts technical interviews, evaluates candidate responses in real time, provides feedback scores and generates detailed performance reports using natural language processing and LLMs.
Python
Pandas
Jupyter Notebook
GitHub
Uncodemy
An end-to-end regression project that predicts house prices using advanced machine learning techniques. It covers data preprocessing, feature engineering, model selection, evaluation and deployment-ready prediction pipeline.
Python
Pandas
Jupyter Notebook
SQL
Uncodemy
A comprehensive healthcare analytics project that explores patient data, disease trends, treatment outcomes and hospital performance using Python, SQL and advanced visualization techniques to generate actionable medical insights.
Python
Pandas
Jupyter Notebook
GitHub
Uncodemy
A complete end-to-end recommendation system project that combines collaborative filtering and content-based techniques to suggest personalized movies. Built with Python, Pandas and machine learning algorithms for accurate user preference matching.
Python
Pandas
Jupyter Notebook
GitHub
The program runs for 8–9 months and includes 150+ hours of learning across 90+ live sessions. aizwal learners can join live online batches held on weekdays or weekends.
Yes. No prior programming experience is required. Python and SQL are taught from the very beginning, and the first month focuses on Python fundamentals and Excel, which need no traditional coding background.
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 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 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 — EMI includes applicable interest/processing charges; final plan confirmed by a counsellor.
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 aizwal are indicatively ₹4–8 LPA.
Indicative ranges for aizwal are ₹4–8 LPA at entry level, ₹8–15 LPA at mid-level and ₹12–20+ LPA for senior data scientists. Actual salaries vary by sector, company, skills and experience. 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 aizwal. aizwal 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 aizwal learners prefer live online.
aizwal learners can attend live online batches using the same syllabus, trainers and projects as classroom training. Those who prefer in-person study or plan to relocate to Delhi NCR can attend the Delhi or Noida centres. For most aizwal-based learners, online classes remove travel while preserving the same curriculum and teaching team.
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