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🔥 Most Popular in aizawl

Data Science Training Course in aizawl With Gen AI by Uncodemy

Uncodemy's Data Science with Generative AI program for aizawl learners is 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 aizawl learners, with classroom access at our Delhi and Noida centres if you travel to Delhi NCR — plus real projects, recorded sessions and career-support services. The current course fee is ₹21,500 + GST, total fees is ₹25,370.

⚡ LIMITED TIME OFFER

Special Offer: Data Science with AI

Now Pay Only
₹21,500/-
+GST
2-Class Trial
Attend 2 Classes
No Hidden Charges
100% Transparent
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 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 course included AI— Training & Placement Program Hands-on learning focused on practical Data Science skills and interview preparation.
A comprehensive 8–9 month instructor-led training program covering Python, SQL, Statistics, Machine Learning, Deep Learning, Power BI, Tableau and Gen AI with practical projects, mentoring 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*
🚀 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 aizawl — 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 aizawl (Offline 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

Uncodemy learners who complete the Data Science training program develop practical skills in Python, SQL, statistics, machine learning, deep learning, NLP, Power BI, Tableau and Gen AI. After completing their training and career preparation, eligible learners may apply for relevant roles such as Data Scientist, Data Analyst or Machine Learning Engineer. Placement records for aizawl learners are updated regularly — view verified outcomes at uncodemy.com/placement.

Ankit Singh
4.8 LPA
Hyderabad

Ankit Singh

Data Analyst

Placed at:FINELABS

Data Science Batch
Batch: DS/09/0823/S WD 7PM
Read placement record
Ashish Butola
4.8 LPA
India

Ashish Butola

Data Analyst

Placed at:Allsoft Solutions

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

Rajat Kashyap

Data Analyst

Placed at:Hexalog

Data Science Batch
Batch: DS/DA Weekend July Batch 10 AM
Read placement record
Sagar B. Shembade
3.25 LPA
Pune

Sagar B. Shembade

Data Analyst

Placed at:SmartStudy

Data Science Batch
Batch: DS/WD/S 08:00 PM 08 JAN-UC
Read placement record
Priyanka Kumari
3.0 LPA
Noida

Priyanka Kumari

Data Analyst

Placed at:CloudFirst Digital

Data Science Batch
Batch: DS/DA Weekend July Batch 10 AM
Read placement record
Shruti Saxena
3.0 LPA
Delhi

Shruti Saxena

Data Analyst

Placed at:Jepius Healthcare

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

What is Data Science?

Data Science combines statistics, programming and subject knowledge to turn raw information into useful insights and predictions. The work includes gathering and preparing data, developing and testing models, and presenting the findings clearly. Organisations apply these methods to study customer behaviour, estimate demand, identify fraud, personalise recommendations and streamline manual decisions.

What does a data scientist do? A data scientist collects information from databases and business applications, prepares and investigates it, creates and tests machine learning models, and converts the results into practical business advice. Their regular work may include writing Python and SQL, improving models, discussing performance measures with stakeholders, and deploying or supervising models in production.

Data Analytics vs Data Science vs Business Analytics

Data analytics looks at what has happened and the reasons behind it. Data science uses data to estimate what may happen next. Business analytics applies analysis to operational decisions 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.

Course Overview

The Data Science course for aizawl learners is delivered over 8–9 months, with 90+ live sessions and more than 150 hours of guided learning. Its eleven modules progress from Python, SQL and statistics through data preparation, EDA, machine learning, deep learning, NLP, Power BI, Tableau, Generative AI and MLOps, including practical use of AI tools in everyday data work. Learners practise on real datasets in each module and finish with guided projects and a capstone project for their portfolio. aizawl learners attend live online sessions, with classroom access at our Delhi and Noida centres when travelling to Delhi NCR.

Who should join this course:

  • Fresh graduates from any stream — B.Com, BBA, B.Sc, B.Tech, BA, BCA — who want an entry into data science or analytics.
  • Working professionals in operations, sales, finance, HR or marketing who already work with data and want to formalise the skill.
  • Career changers moving from non-technical roles into a data role.
  • MIS and reporting executives who want to move up from Excel into Python, SQL, ML and BI tools.
  • aizawl-based learners who prefer live online training or can travel to Delhi/Noida for classroom training.

Eligibility: Graduates from any discipline may apply. Previous programming experience is not necessary because Python and SQL begin with the fundamentals. Basic mathematical comfort is useful but not mandatory, as the statistics module starts with the essentials. For hands-on classes, learners should have an 8GB RAM laptop and a reliable internet connection.

Upcoming Data Science Course Batches in aizawl

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. Batch dates, timings and seat availability are updated regularly. Contact Uncodemy for the latest aizawl/online batch schedule. All timings are in IST.

Weekdays

Date Time Trainer Seats Left
22Sept 07:30 PM – 08:30 PM Mr. Upendra Kumar Tiwari 02Seat
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

Weekends

Date Time Trainer Seats Left
27Sept 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.

Curriculums for Data Science Training Courses in aizawl

Data Science Course Syllabus in aizawl

The syllabus contains eleven modules and 150+ hours of learning, arranged around the normal data science workflow: collect data, prepare it, analyse it, create models, deploy them and explain the results. Every module finishes with a graded exercise using a real dataset, while the final module brings the skills together through portfolio 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
  • A/B testing in a business context

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

  • Linear and logistic regression
  • Decision trees, random forests and ensemble methods
  • Support Vector Machines and K-Nearest Neighbours
  • K-Means clustering, hierarchical clustering and PCA
  • Model evaluation: accuracy, precision, recall, F1, ROC-AUC
  • Cross-validation, hyperparameter tuning and pipelines

Module 6: Deep Learning & Neural Networks — 15 Hours

  • Perceptrons, activation functions and backpropagation
  • TensorFlow and Keras basics
  • Feed-forward neural networks and regularisation
  • Convolutional Neural Networks (CNN) for images
  • Recurrent Neural Networks (RNN) and LSTMs for sequences
  • Transfer learning and model fine-tuning

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

  • Text preprocessing: tokenisation, stemming, lemmatisation
  • Bag of Words, TF-IDF and word embeddings
  • Sentiment analysis and text classification
  • Named Entity Recognition (NER)
  • Topic modelling with LDA
  • Introduction to transformers and BERT

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

  • Power BI: connecting to Excel, SQL, CSV and web sources
  • Data modelling, relationships and DAX measures
  • Dashboard design, filters, slicers and drill-through
  • Tableau: dimensions, measures, calculated fields
  • Filters, groups, sets, parameters and dashboards
  • Publishing dashboards for business stakeholder review

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

  • Prompt engineering for data tasks
  • Generating and debugging SQL and Python with AI assistance
  • Copilot in Excel and Power BI
  • AI-assisted insight summaries and report drafting
  • Verifying AI output: hallucinations, wrong aggregations, false confidence
  • Data privacy and what should never be pasted into a public AI tool

Module 10: MLOps & Model Deployment — 8 Hours

  • Model versioning and experiment tracking with MLflow
  • Packaging models with Flask/FastAPI
  • Deploying models to cloud (AWS/GCP/Azure basics)
  • Monitoring model performance and drift
  • CI/CD basics for ML pipelines
  • Retraining strategies and data versioning

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 and case-study interview practice
  • Mock interviews with 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 aizawl

On completing all eleven modules, the assignments and the capstone project, you receive the Uncodemy Data Science Program Certificate. The certificate records the program name, duration, tools covered and completion date, along with verification reference. Certification is issued on completion of the required coursework and assessment, providing a record of successful completion of the Uncodemy Data Science program.

The certificate is provided along with 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 provides an opportunity to apply the concepts covered during the training.

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 course in aizawl provided by Uncodemy includes a verified Uncodemy Data Science Program Certificate that can be verified online through the official Uncodemy Certificate 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 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.

Instructors

The people who actually teach this course

Uncodemy keeps two responsibilities distinct. Trainers conduct the live classes, while domain reviewers are independent specialists who check that the curriculum remains accurate and current. Mr. Upendra Kumar Tiwari reviews the technical content for this Data Science program, so its quality is assessed by someone beyond the person delivering each session.

Uncodemy publishes the names, fields and backgrounds of its trainers and domain reviewers, allowing learners to review their experience before enrolling.

Enroll in Our Data Science Training in aizawl Today!

Join Uncodemy's Data Science Training for aizawl learners and build practical Data Science and Gen AI skills through live online instruction, real-world projects and focused career support. Attend a demo or trial class first so you can understand the teaching approach before enrolling.

Data Scientist Jobs and Career Scope in aizawl+

aizawl is an established educational and commercial centre in Uttar Pradesh, with a diverse economy spanning manufacturing (locks, hardware, brassware), education, healthcare, retail, financial services, logistics and business services. Data Science skills apply across these sectors — for demand forecasting, quality analytics, customer insight, operational reporting and process automation. Learners can pursue roles locally, work remotely for companies in Delhi NCR, Noida, Bengaluru, Hyderabad and Pune, or commute to nearby NCR for on-site roles. Employers in the region increasingly expect working Python, SQL and at least one ML project, and this program is designed to build that portfolio. aizawl learners typically join live online batches, which deliver the same syllabus, trainers and projects as classroom.

Job Roles After This Course+

This course maps to roles such as Data Scientist, Machine Learning Engineer, Data Analyst, Business Intelligence Analyst, Data Engineer and AI/ML Research Associate. Each role overlaps in core skills — Python, SQL, statistics and visualisation — but differs in the depth of modelling and AI work involved.
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
Most graduates begin as a Data Analyst or Junior Data Scientist and move into more specialised roles with experience. Completing the course does not automatically guarantee any specific job title — outcomes depend on skills, experience, interview performance and hiring conditions.

Data Scientist Salary in aizawl — Experience-wise+

The salary table below reflects Indicative / Noida-Delhi NCR realistic expectation. It is not verified aizawl-specific salary data. Actual compensation varies by 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 vary by role, skills, experience, location and employer. Uncodemy does not guarantee any specific salary or employment outcome.

Top Hiring Sectors for Data Scientists in aizawl+

aizawl's economy creates demand for data skills in several sectors. Employers in these sectors typically look for working Python, SQL and at least one ML project.
  • Manufacturing — quality analytics, production forecasting and supply-chain reporting in the lock, hardware and brassware industries.
  • Education — student performance analytics, enrolment forecasting and operational reporting for schools, colleges and coaching institutes.
  • Healthcare — clinical data analysis, patient-flow reporting and hospital operations analytics.
  • Retail and e-commerce — sales analytics, inventory forecasting and customer segmentation for local and regional businesses.
  • Financial services, logistics and business services — credit analytics, risk reporting, route optimisation and MIS automation.
Uncodemy does not claim verified employer partnerships or hiring numbers specific to aizawl. Learners should verify current opportunities directly with employers.

How to Become a Data Scientist — Step by Step+

Becoming a data scientist is a step-by-step skill build, not a single course. Skipping steps usually shows up later as gaps in interviews or on the job.
  • Learn Python — data types, loops, functions, Pandas and NumPy, since Python is the working language of almost every data science role.
  • Learn Statistics — descriptive statistics, probability, distributions and hypothesis testing, so your conclusions hold up when questioned.
  • Learn SQL — joins, aggregations, subqueries and window functions, because almost every role starts 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, using TensorFlow or Keras, to handle image, text and sequence data.
  • Build Portfolio Projects — three to five projects, each with a business question and a model or recommendation, ideally drawn from a sector you want to work in.
  • Prepare for Interviews — Python and SQL practice, ML 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 rather than occasional binge sessions.

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

aizawl and the wider Uttar Pradesh region have a number of data science training options, and they vary widely in depth, price and delivery quality. Here is an honest comparison, so you can judge the fit yourself.
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 cheapest option. Learners should compare curriculum depth, live training, project work, tools, trainer experience, career support, fee structure and learning format before choosing a course.

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

For aizawl learners, live online is the practical default. Offline classroom is available at our Delhi and Noida centres; aizawl learners typically join live online.
FormatBest forConsiderations
Live Onlineaizawl 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 aizawl and NCROccasional classroom sessions plus live online
All formats include live instructor interaction, recorded sessions for revision, doubt-clearing support and the same career support. Switching formats midway (where allowed) does not mean losing 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 aizawlLive 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 aizawl?

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 for aizawl learners.

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

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.

3. What tools are covered in this course?

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 verifying AI output.

5. How many projects will I complete?

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.

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 aizawl?

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.

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 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.

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 project and a portfolio — this program is built to deliver all three. Entry-level Data Scientist salaries in Noida-Delhi NCR are indicatively ₹4–8 LPA.

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

Indicative ranges for Noida-Delhi NCR 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.

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 begin as a Data Analyst or Junior Data Scientist.

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 aizawl?

No physical centre in aizawl. aizawl 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 aizawl learners prefer live online.

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Nearest Classroom Training Centres

Nearest Classroom Training Centres

aizawl learners can join live online batches that use the same syllabus, trainers and projects as the classroom format. Learners who prefer face-to-face study or plan to move to Delhi NCR can attend sessions at our Delhi and Noida centres. For most aizawl-based learners, live online training is convenient because it removes 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