Data Science Training Course in Delhi with Gen AI by Uncodemy

Welcome to the best upskilling and latest trending skills company like Uncodemy, your premier category destination for the best world-class Data Science Training Program in Delhi. Our best engaging comprehensive set of Data Science courses, ranging from all types of cutting-edge programs, is likely designed to provide you with all the required knowledge and necessary skills that are needed to help you excel in this tech-savvy data-driven world.

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LIMITED TIME OFFER

Special Offer Fee

(For Limited Seats Only)

₹ 21,830/-FTP with GST

9-Month Program | Total Fee ₹60,000 +GST

₹ 17,500/-+GST
EMI AVAILABLE Starts at ₹ 2,999 / Month
  • Risk-Free Trial – Attend 2 Classes
  • No Hidden Charges

Seats are filling fast!

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Industry Expert Trainers Learn from 10+ years experienced professionals
Live Projects Work on real-time projects & case studies
Lifetime Access Get lifetime access to recorded sessions & materials
Placement Assistance Resume Building, Mock Interviews & Job Support
Certified Course Industry-recognized certificate
Flexible Batches Weekday & Weekend Online & Offline

Why Choose
Uncodemy?

14+ Years of Excellence
850+ Hiring Partners
54,000+ Students Trained
200+ Corporate Tie-ups
40+ Cities Across India
95% Placement Support
Online & Offline Classes
Weekend & Weekday Batches
100% Practical Training
Affordable Fees
EMI Options Available
Dedicated Support
At a Glance

Program Details

Fees, duration, eligibility, certification, batch timings and placement support — everything you need to decide, in one place.

Course Name Data Science with AI – Training & Placement Program
Duration 7–8 Months
Mode Online & Offline (Classroom)
Fees ₹21,500 + GST
Eligibility Graduates, undergraduates and working professionals — no coding background required
Certification Yes, on course completion
Placement Support Resume building, mock interviews, interview scheduling
Free Tools Included Uncodemy's online Python compiler
Batch Type Weekday & weekend batches available

Inside the Program

Batch Options

  • Weekday Batch

    Enrolling

    Runs Monday to Friday — best for students with a flexible daytime schedule.

    • Mon–Fri
    • 11:00 AM – 1:00 PM
    • Online or classroom

  • Weekend Batch

    Enrolling

    Saturday & Sunday sessions built around a full-time job.

    • Sat–Sun
    • 10:00 AM – 1:00 PM
    • Working professionals

  • Online & Offline Mode

    Both Modes

    Classroom training across Delhi NCR, or live sessions from anywhere — same trainers, curriculum and placement support.

    • Delhi NCR classroom
    • Live online
    • Session recordings
Course Overview

Data Science with AI — Training & Placement Program

A 7–8 month, placement-focused program that teaches Python, Statistics, Machine Learning, Deep Learning, SQL and Generative AI through real projects — not just theory.

Delhi has become one of India's biggest hubs for data-driven jobs, and more students every year are looking for a data science course in Delhi that actually leads to a job — not just a certificate.

This course is built for beginners as well as working professionals who want to switch into data science. You don't need a coding background to start — it begins from the basics of Python and builds up to advanced Machine Learning and AI tools used by companies today. Along with live classes, you also get access to Uncodemy's free online Python compiler, so you can practise code directly in your browser without installing anything.

What is a data science course? It teaches you how to collect, clean, analyse and interpret data to help businesses make better decisions. It combines three skills — programming (mainly Python), statistics and machine learning — so you can build models that predict outcomes such as customer behaviour, sales trends or fraud.

Delhi NCR Advantage

Why Delhi NCR is India's Data Science Hub

Delhi NCR is home to thousands of IT companies, startups, consulting firms and MNC offices — which means a steady demand for people who can work with data.

  1. Job density

    Delhi NCR — including Gurgaon and Noida — hosts offices of major companies like TCS, Infosys, Accenture, Deloitte and KPMG, alongside hundreds of growing startups, all hiring for data roles.

  2. Strong IT ecosystem

    Being close to India's tech and consulting corridor gives you access to internships, meetups and networking events that smaller cities don't offer as easily.

  1. Remote & hybrid opportunities

    Many Delhi-based companies also hire for hybrid and remote data science roles, so your job search isn't limited to a single office location.

  2. Salary growth

    Because of high demand, data professionals in Delhi NCR often see faster salary growth compared to many other Indian cities.

Why Uncodemy

Why Choose Uncodemy's Data Science Training Course in Delhi for Career Growth & Skill Development?

A structured learning path, real project work and a placement team that keeps working for you until you land the role.

Six Core Skill Areas

Python, Statistics, Machine Learning, Deep Learning, SQL & BI tools, and NLP with Generative AI — each moving from fundamentals to job-ready application.

Project-Based Learning

Every algorithm is taught with a real dataset and a real business problem, so you finish with work you can actually show a recruiter.

Free Python Compiler

Practise every concept the moment you learn it — a browser-based compiler with no installation, no version conflicts and no cost.

Placement Support

Resume building, mock interviews and interview scheduling that run through the programme and continue as you begin your job search.

Industry-Experienced Trainers

Instructors who bring real industry experience in Data Science, Machine Learning, Power BI and NLP — not just teaching experience.

Flexible Batches

Weekday and weekend batches, online or classroom — designed around students and working professionals alike.

Beginner or career switcher — the course is built to take you from the basics to a job-ready skill set, whatever your starting background.

Comparison

Uncodemy vs Other Institutes in Delhi

A clear, honest picture of what you get — and what most institutes charge extra for or don't offer at all.

Feature Uncodemy Typical Institutes
Free Python Compiler Access ✓ Usually not offered
Industry-Experienced Trainers ✓ Varies
Project-Based Learning ✓ Sometimes theory-heavy
Placement Support ✓ Varies by institute
Weekday & Weekend Batches ✓ Often limited
Online & Offline Mode ✓ Often one mode only
Course Fee ₹21,500 + GST Often higher for similar content
Course Fee

One Transparent Fee for the Full 7–8 Month Program

No module-by-module charges and no surprise add-ons — everything the programme includes is covered below.

Best Value

Uncodemy Data Science with AI

₹21,500 + GST

Covers the complete 7–8 month program

  • ✓Live classes — online or classroom in Delhi NCR
  • ✓Project work across all six skill areas
  • ✓Access to Uncodemy's free Python compiler
  • ✓Complete study material
  • ✓Placement assistance and course completion certificate

Typical Other Institutes

Higher for similar content

 

  • ✗Compiler or lab access usually not provided
  • ✗Project work often limited or theory-heavy
  • ✗Placement support varies by institute
  • ✗Usually one learning mode only
  • ✗Batch timings rarely suit working professionals

What the Fee Covers

Live classes, project work, study material, free Python compiler access and placement assistance — all in the single ₹21,500 + GST fee.

Batch Options

Weekday batches for students with flexible daytime schedules, weekend batches for working professionals — online or offline.

Next Start Dates

New batches start regularly. Check current start dates and available seats directly with the admissions team before enrolling.

Learner Voices

Top-Rated by 10,000+ Learners in Delhi NCR

Many students come from non-technical backgrounds with little or no coding experience — and what comes up again and again is how trainers break down difficult topics into simple, understandable steps.

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A
Ankit Kumar
Data Science

I have attended a Data Science course with my understanding i had got the best out from trainers. All thanks to Atmaram sir for giving us a platform to learn new technology from a highly skilled professional. I would highly recommend aspirants who wanted to learn new technology, you will get the best out of what you are looking for course content is good, trainers are awesome,

R
RANJIT KUMAR
Data Science

"Uncodemy is the right place to start your journey in data science training.. My experience with this course is really amazing though I didn't know any of the basics of Data science. But Upendra Sir and uncodemy staff really help to understand the topics easily. They provide interactive sessions, assignments, good study material, and projects which really becomes of great help to boost your carrier.

M
Mahesh Bora
Data Science

Best IT Training institute in Delhi NCR for Data Analytics and Data Science Course!!! I am from Non-IT background and joined for Data science and ML course. I got more support and guidance from the trainers. Upendra Sir and Irshad Sir Trainers are more friendly and supportive. Able to learn coding language quickly because of trainers teachings. Thank you trainers and Uncodemy team.

A
Aastha K
Data Science

I am kindly recommended that Uncodemy is the best institute to learn the Data Science course which is located in Noida. I have got trained by Mr. Upendra sir has amazing teaching skills in Data science and Analytics. Your efforts are beyond our imagination. He tells every concept from scratch.I will highly recommend this institution if anybody wants to learn Data science or data analytics.

A
Ayushi Gera
Data Science

Hi, I am writing this review to share my experience with Uncodemy. I have attended Data science training from this institute. I am completely satisfied with the training at this institute. The trainer was quite knowledgeable who has delivered training in a very good way and made us understand all the concepts of Data science and its scope in the future.

R
Rekha Jain
Data Science

I joined here for a python with data science course and the course is conducted by Irshad sir. He is best at everything, he explains every concept in detail and till we understand everything. He has sound knowledge in the field. I would highly recommend this institution Uncodemy and Irshad sir as a trainer if you are thinking of the change in the IT industry.

A
Anuj Singh
Data Science

I have taken a course data science. Uncodemy is very good platform in order to grow career in your dream field. I am very satisfied with their service because they really helped me a lot not only in course concepts but also they listen to any kind of problems including doubts n all. They have very well experienced staff. Mentors are very helpful and talented.

M
Manna Day
Data Science

Data science courses offeres great content and good learning curv. I have learned a deep knowledge of R and Python. I really enjoyed playing with various data frame in the assignment and it encourage to learn more. Special thanks to assignment teams, who helped to help me in clearing my doubt.

S
samaksh rastogi
Data Science

Uncodemy institution is a good place to learn Data science courses, Hadoop and enhance our technical skills. Friendly work culture, good training environment, supportive management. My experience at this center was really great. Thank You uncodemy Team..!!

A
Ateek Ahamad
Data Science

I joined 2 months back in Uncodemy to take a Data science training course in Noida. where I have learned all stuff that I required, really feel so much happy because of Upendra sir the one who thought me Data science full course with practicals. And also he is such a nice person and kind enough towards students. Thank Uncodemy Team..!!

Resources & Tools

Practice Tools and Free Learning Resources

One of the biggest hurdles for beginners is simply getting Python running on their laptop. Installation issues, version conflicts and missing libraries waste hours before you've written a single line of code. Here's how to start in minutes instead.

/exam-portal Exam Portal

Timed practice tests with instant scoring and topic-wise feedback.

Open
/online-python-compiler Python Compiler

Write, run and test Python in the browser — no installation needed.

Open
/tutorial/data-science/need-for-programming Data Science Tutorials

Step-by-step guides on Python, statistics, SQL and machine learning.

Open
/blog/mysql/what-is-mysql Interview Questions

Real technical and HR questions asked in data science interviews.

Open
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Entry-Level (0–1 years)₹5–8 LPA
Mid-Level (2–5 years)₹10–18 LPA
Senior-Level (5+ years)₹20 LPA and above
Salary Outlook

Data Scientist Salary in Delhi (2026)

Salaries vary based on experience, skill set and the specific role. Building strong fundamentals is one of the biggest factors in moving up this range faster.

  • Your Skill Set

    Machine Learning and AI skills command noticeably more than plain data analysis roles.

  • Project Portfolio

    How strong your portfolio is at the time of hiring directly affects the offer you get.

  • Company & Role

    Package varies between MNCs, mid-sized firms and startups, and by the exact role you take.

Salary figures are indicative and vary with market conditions, company size and individual profile — always cross-check current numbers on Glassdoor, AmbitionBox or Naukri before making career decisions.

Career Support

Placement Assistance & Career Support

Learning the skills is only half the journey — the other half is helping you land the job. This support runs throughout the programme and continues as you begin your job search, so you're not left figuring things out alone once classes end.

Eligibility

Who Can Join This Course?

This course is designed to be beginner-friendly, so you don't need a technical degree to join. If you have basic computer knowledge and an interest in numbers, logic or problem-solving, you're a good fit.

You do not need prior programming experience. The course starts from Python basics and gradually builds up to advanced Machine Learning and AI concepts, so learners from every background can follow along comfortably.

Many students join from Science, Commerce and Arts streams — and trainers provide extra support to help non-technical learners build confidence step by step.

  • Graduates & undergraduates from any stream
  • Working professionals switching to data roles
  • Freshers exploring IT and analytics careers
  • Anyone with basic computer knowledge
Curriculum

Curriculum for the Data Science Training Course in Delhi

Designed by faculty from IITs and expert industry professionals, refreshed as the stack evolves.

Set the Basics Right

Data science is the domain of study that deals with vast volumes of data using modern tools and techniques to find unseen patterns, derive meaningful information, and make business decisions. For example, finance companies can use a customer's banking and bill-paying history to assess creditworthiness and loan risk.

Uncodemy's Data Science curriculum in Delhi contains the following modules to build your skills end to end:

1. Python for Data Science

  • Need for Programming
  • Advantages of Programming
  • Overview of Python
  • Organizations using Python
  • Python Applications in Various Domains
  • Python Installation
  • Variables
  • Operands and Expressions
  • Conditional Statements
  • Loops
  • Command Line Arguments
  • Method of Accepting User Input and eval Function
  • Python – Files Input/Output Functions
  • Lists and Related Operations
  • Tuples and Related Operations
  • Strings and Related Operations
  • Sets and Related Operations
  • Dictionaries and Related Operations
  • User-Defined Functions
  • Concept of Return Statement
  • Function Parameters
  • Different Types of Arguments
  • Global Variables and Keyword
  • Variable Scope and Returning Values
  • Lambda Functions
  • Various Built-In Functions
  • Introduction to Object-Oriented Concepts
  • Built-In Class Attributes
  • Public, Protected and Private Attributes
  • Class Variable and Instance Variable
  • Constructor and Destructor
  • Decorators in Python
  • Core Object-Oriented Principles
  • Inheritance and Its Types
  • Method Resolution Order
  • Overloading and Overriding
  • Getter and Setter Methods
  • Inheritance In-Class Case Study
  • Standard Libraries
  • Packages and Import Statements
  • Reload Function
  • Important Modules in Python
  • Sys Module
  • Os Module
  • Math Module
  • Date-Time Module
  • Random Module
  • JSON Module
  • Regular Expression
  • Exception Handling
  • Basics of Data Analysis
  • NumPy – Arrays
  • Operations on Arrays
  • Indexing, Slicing and Iterating
  • NumPy Array Attributes
  • Matrix Product
  • NumPy Functions
  • Array Manipulation
  • File Handling Using NumPy
  • Array Creation and Logic Functions
  • Introduction to pandas
  • Data Structures in pandas
  • Series
  • Data Frames
  • Importing and Exporting Files in Python
  • Basic Functionalities of a Data Object
  • Merging of Data Objects
  • Concatenation of Data Objects
  • Types of Joins on Data Objects
  • Data Cleaning using pandas
  • Exploring Datasets

2. Data Science Primer and Statistics

  • What is Data Science?
  • What does Data Science involve?
  • Era of Data Science
  • Business Intelligence vs Data Science
  • Life Cycle of Data Science
  • Tools of Data Science
  • Application of Data Science
  • Introduction
  • Stages of Analytics
  • CRISP DM Data Life Cycle
  • Data Types
  • Introduction to EDA
  • First Business Moment Decision
  • Second Business Moment Decision
  • Third Business Moment Decision
  • Fourth Business Moment Decision
  • Correlation
  • What is a Feature
  • Feature Engineering
  • Feature Engineering Process
  • Benefits
  • Feature Engineering Techniques
  • Basics of Probability
  • Discrete Probability Distributions
  • Continuous Probability Distributions
  • Central Limit Theorem
  • Hypothesis Testing I: Null & Alternate Hypothesis
  • Hypothesis Testing II: P-Value Method and Types of Errors
  • Industry Demonstration: Two-Sample Mean, Proportion Test, A/B Testing

3. Machine Learning

  • Simple Linear Regression
  • Simple Linear Regression in Python
  • Multiple Linear Regression
  • Multiple Linear Regression in Python
  • Industry Relevance of Linear Regression
  • Univariate Logistic Regression
  • Multivariate Logistic Regression: Model Building and Evaluation
  • Logistic Regression: Industry Applications
  • Data Mining Classifier Technique
  • Application of KNN Classifier
  • Lazy Learner Classifier
  • Altering Hyperparameter (k) for Better Accuracy
  • Black Box
  • SVM Hyperplane
  • Max Margin Hyperplane
  • Kernel Tricks for Non-Linear Spaces
  • Rule-Based Classification Method
  • Different Nodes for Developing Decision Trees
  • Discretization
  • Entropy
  • Greedy Approach
  • Information Gain
  • Challenges with Standalone Models
  • Reliability and Performance of a Standalone Model
  • Homogeneous & Heterogeneous Ensemble Techniques
  • Bagging & Boosting
  • Random Forest
  • Stacking
  • Voting & Averaging Techniques
  • Difference Between Cross-Sectional and Time Series Data
  • Different Components of Time Series Data
  • Visualization Techniques for Time Series Data
  • Model-Based Approach
  • Data-Driven Approach
  • Difference Between Supervised and Unsupervised Learning
  • Prelims of Clustering
  • Measuring Distance Between Records and Groups
  • Linkage Functions
  • Dendrogram
  • Dimension Reduction
  • Application of PCA
  • PCA & Its Working
  • SVD & Its Working
  • Point of Sale
  • Application of Association Rules
  • Measure of Association Rules
  • Drawbacks of Measures of Association Rules
  • Conditional Probability
  • Lift Ratio

4. Deep Learning

  • Black Box Techniques
  • Intuition of Neural Networks
  • Perceptron Algorithm
  • Calculation of New Weights
  • Non-Linear Boundaries in MLP
  • Integration Function
  • Activation Function
  • Error Surface
  • Gradient Descent Algorithm
  • ImageNet Classification Challenges
  • Convolution Network Applications
  • Challenges in Classifying Images Using MLP
  • Parameter Explosion
  • Pooling Layers
  • Fully Connected Layers
  • AlexNet Case Study
  • Modeling Sequence Data
  • Vanishing / Exploding Gradients
  • What is a Deep Learning Platform?
  • H2O.ai
  • Dato GraphLab
  • What is a Deep Learning Library?
  • Theano
  • Deeplearning4j
  • Torch
  • Caffe

5. Data Visualization and Storytelling

  • Bar Charts
  • Histograms
  • Pie Charts
  • Box Plots
  • Scatter Plots
  • Line Plots and Regression
  • Pair Plot
  • Word Clouds
  • Radar Charts
  • Waffle Charts

6. Natural Language Processing

  • Text Data Generating Sources
  • Giving Structure to Text Using Bag of Words
  • Terminology Used in Text Data Analysis
  • DTM & TDM
  • TF-IDF & Its Usage
  • Word Cloud and Its Interpretation

7. SQL

  • Introduction to Databases
  • How to Create a Database Instance on Cloud
  • Provision a Cloud-Hosted Database Instance
  • What is SQL?
  • Thinking About Your Data
  • Relational vs Transactional Models, ER Diagram
  • CREATE Table Statement and DROP Tables
  • UPDATE and DELETE Statements
  • Retrieving Data with a SELECT Statement
  • Creating Temporary Tables
  • Adding Comments to SQL
  • Basics of Filtering with SQL
  • Advanced Filtering: IN, OR and NOT
  • Using Wildcards in SQL
  • Sorting with ORDER BY
  • Math Operations
  • Aggregate Functions
  • Grouping Data with SQL
  • Using Subqueries
  • Subquery Best Practices and Considerations
  • Joining Tables
  • Cartesian (Cross) Joins
  • Inner Joins
  • Aliases and Self Joins
  • Advanced Joins: Left, Right and Full Outer Joins
  • Unions
  • Working with Text Strings
  • Working with Date and Time Strings
  • Date and Time String Examples
  • Case Statements
  • Views
  • Data Governance and Profiling
  • Using SQL for Data Science
  • How to Access Databases Using Python
  • Writing Code Using DB-API
  • Connecting to a Database Using DB-API
  • Create Database Credentials
  • Connecting to a Database Instance
  • Creating Tables, Loading, Inserting and Querying Data
  • Analyzing Data with Python

8. Excel

  • Input Data & Handling Large Spreadsheets
  • Tricks to Get Your Work Done Faster
  • Automating Data Analysis (VLOOKUP, IF, ROUND and more)
  • Transforming Messy Data into Shape
  • Cleaning, Processing and Organizing Large Data
  • Spreadsheet Design Principles
  • Drop-Down Lists and Data Validation
  • Pivot Tables, PivotCharts, Slicers and Timelines
  • Functions: COUNTIFS, COUNT, SUMIFS, AVERAGE and more
  • Sort, Filter, Search & Replace, Go To Special
  • Importing and Transforming Data with Power Query
  • Customising the Microsoft Excel Interface
  • Formatting Correctly for Professional Reports
  • Commenting on Cells
  • Automating Data Entry with Autofill and Flash Fill
  • Writing Formulas & Referencing Other Workbooks
  • Printing Options
  • Pareto, Histogram, Treemap and Sunburst Charts

9. Tableau

  • Introduction to Data Visualization
  • Tableau Introduction and Architecture
  • Exploring Data Using Tableau
  • Data Extraction and Blending
  • Various Charts in Tableau (Basic to Advanced)
  • Sorting: Quick Sort, Sort from Axis, Legends, Sort by Fields
  • Filtering: Dimension, Measure, Date and Context Filters
  • Groups, Sets and Combined Sets
  • Reference Lines, Bands and Distribution
  • Parameters, Dynamic Parameters and Actions
  • Forecasting: Exponential Smoothing Techniques
  • Clustering
  • Calculated Fields and Quick Tables
  • Tableau Mapping Features
  • Dashboards, Dashboard Actions and Stories

10. Power BI

  • Introduction to Power BI – Need and Importance
  • Power BI Advantages and Scalable Options
  • Power BI Data Source Library and DW Files
  • Business Analyst Tools, MS Cloud Tools
  • Power BI Installation
  • Power BI Desktop – Installation and Usage
  • Sample Reports and Visualization Controls
  • Understanding Desktop & Mobile Editions
  • Report Rendering Options and End User Access
  • Report Design with Database Tables
  • Report Visuals, Fields and UI Options
  • Reports with Multiple Pages and Advantages
  • Pages with Multiple Visualizations and Data Access
  • "GET DATA" Options, Report Fields and Filters
  • Report View Options: Full, Fit Page, Width Scale
  • Report Design Using Databases & Queries
Certification

The Certificate You'll Receive

On successfully completing the course — including assignments, projects and the final assessment — you'll receive a Data Science Course Completion Certificate from Uncodemy.

  • Reflects your training in Python, Statistics, Machine Learning and Deep Learning
  • Awarded after assignments, projects and the final assessment
  • Add it to your resume, LinkedIn profile or professional portfolio

Combined with the project portfolio you build during the programme, it gives employers concrete evidence of what you can actually do — not just what you attended.

Toolchain

Tools and Technologies Covered

Learned together rather than in isolation — mirroring how a real data science project runs, from raw data to a final dashboard or model.

  • PythonPython
  • SQLSQL
  • NumPyNumPy
  • PandasPandas
  • Scikit-learnScikit-learn
  • Neural NetworksNeural Networks
  • NLPNLP
  • MatplotlibMatplotlib
  • SeabornSeaborn
  • Power BIPower BI
  • TableauTableau
  • MySQLMySQL
  • PostgreSQLPostgreSQL
  • Jupyter NotebookJupyter Notebook
  • Google ColabGoogle Colab
  • Advanced ExcelAdvanced Excel
  • ⚡Uncodemy Python Compiler
Hiring Landscape

Top Companies Hiring Data Scientists in Delhi

Data science and analytics roles are open across a wide range of industries in Delhi NCR. Beyond the large IT firms, many mid-sized companies and startups are also building in-house data teams — which means opportunities exist at every company size, not just at big MNCs.

About Us

Introducing Uncodemy

At Uncodemy we offer educational solutions tailored to help you excel in a competitive tech landscape. Our approach to learning, combined with industry-leading expertise, means students finish prepared for the work rather than just the exam.

We provide IT training for beginners and experienced professionals alike — Full Stack Development, Software Testing, Data Science, Data Analytics, Python, Java and many more — taught by people who work in the industry.

Alongside Data Science, Uncodemy runs comprehensive courses in Data Analytics, Full Stack Development, Software Testing, Automation Testing, Business Analytics, Digital Marketing, AWS, Cloud Computing, Azure, Python, Artificial Intelligence, Machine Learning, Manual Testing and SEO.

Uncodemy training centres across India

Recognition

Awards & Accreditations

FAQ

Frequently Asked Questions

The course duration is 7–8 months, covering Python, Statistics, Machine Learning, Deep Learning, SQL and Generative AI, along with hands-on projects and placement support.

The course fee is ₹21,500 + GST, which includes live classes, study material, access to the free Python compiler and placement assistance.

No. The course is designed for beginners and starts from Python basics before moving into advanced topics, so no prior programming experience is required.

Yes. Uncodemy provides a free online Python compiler that lets you write and run Python code directly in your browser, with no installation needed.

The course is taught by Mr. Upendra Kumar Tiwari, Mr. Irshad Khan, Mr. Kunal Arora and Mr. Syed Najeeb, all of whom bring real industry experience in Data Science, Machine Learning and related fields.

Yes. Placement support — including resume building, mock interviews and interview scheduling — is included as part of the program.

Yes. Both weekday and weekend batches are available, along with the option to attend online or offline (classroom) sessions.

You'll receive a Data Science Course Completion Certificate from Uncodemy after finishing all assignments, projects and the final assessment.

Entry-level data professionals in Delhi typically earn between ₹5–8 LPA, rising to ₹10–18 LPA at mid-level and ₹20 LPA or more for senior professionals, depending on skills and experience.

Yes. Many students join with no prior technical background. The curriculum starts from the fundamentals, and trainers provide extra support to help non-technical learners build confidence step by step.

Visit Us

Join Uncodemy Delhi — Your Nearest Data Science Training Institute

We welcome you to visit our training centre in person before enrolling, meet the trainers and see the classroom setup for yourself.

Uncodemy Delhi NCR Centre

  • Address

    B, 14-15, Udhyog Marg, Block B, Sector 1, Noida, Uttar Pradesh 201301

  • Metro Access

    5-minute walk from Noida Sector 15 Metro Station (Blue Line)

  • Parking Available

    Secure parking space available for students and visitors

  • Contact the Admissions Team

    +91 8448807675  |  +91 9818366550  |  info@uncodemy.com

  • Monday – Friday8:00 AM – 11:00 PM
  • Saturday9:00 AM – 10:00 PM
  • Sunday9:00 AM – 10:00 PM
  • Special SessionsBy appointment

Start your Data Science journey today

A structured 7–8 month curriculum, experienced trainers, hands-on projects, a free Python compiler for practice and dedicated placement support — designed to take you from the basics to a job-ready skill set, whatever your starting background. Reach out to our admissions team to check the next batch schedule.

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