Best Data Science Institute in Delhi
Learn Python, Machine Learning & AI
Our Location
F-76, Near Saket Metro Station Gate 2, New Delhi – 110030
Easily accessible from South Delhi, Central Delhi & NCR
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+91 85952 01835 (WhatsApp Available)
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Advance Data Science Training in Delhi
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Why Data Science is the #1 Career Choice in Delhi in 2026
The year 2026 marks a critical inflection point for Data Science in India. With the Indian AI and Data Science market projected to exceed ₹3 lakh crore by 2027, and Delhi NCR emerging as one of the top three hiring hubs in the country, the opportunity for trained Data Science professionals has never been greater.
From predicting consumer behavior to building recommendation engines, from detecting fraud in real-time to training generative AI models — Data Scientists are at the heart of every major technological transformation happening today.
By choosing Anshika Digital Media's Data Science Course in Delhi, you are not just learning a skill — you are positioning yourself at the center of India's fastest-growing job market in 2026.
Why Delhi is the Best City to Learn Data Science
- Delhi NCR hosts 4,000+ technology companies, MNCs, and BFSI organizations actively hiring.
- Salary for freshly trained Data Scientists in Delhi starts at ₹5 LPA and can reach ₹25+ LPA with experience.
- Startup ecosystem (fintech, edtech, healthtech, logistics) generates massive demand.
- Govt. of India's Digital India & AI Mission initiatives create public sector roles.
Why Choose Anshika Digital Media?
Government Registered & Multi-Certified
Registered with the Ministry of MSME, NSDC, DPIIT, and GeM. Holds ISO Certification.
Trainer with 12+ Years Corporate Experience
Led by Ankit KK (ex-trainer for ONGC, IOCL, DMRC, Maruti Suzuki) for practical business analytical problem-solving.
50+ Modules Covering Complete Stack
Complete workflow from Python fundamentals to advanced ML algorithms, Deep Learning, Generative AI, and MLOps deployment.
100% Placement Support
Dedicated placement cell for resumes, LinkedIn setup, mock interviews, and referrals to hiring companies (10+ placed monthly).
6+ Live Projects with Real Datasets
Build movie recommendation engines, fraud detection systems, sales forecasting models, and customer churn predictions.
Flexible Learning Options (2026)
We offer morning, afternoon, evening, and weekend batches to accommodate students, freshers, and working professionals. Full online and hybrid options with live interactive sessions, recorded sessions, and online doubt-clearing are available.
Individual Doubt-Clearing Sessions
Unlike large coaching centers where students become invisible in crowds, Anshika Digital Media maintains small, focused batches. Every student gets direct access to individual doubt-clearing sessions with the trainer so no learner is left behind.
Complete Course Details
| Course Feature | Details |
|---|---|
| Course Name | Advanced Data Science Course with AI & ML — Delhi 2026 |
| Duration | 10–12 Months |
| Mode | Offline (Saket, New Delhi) | Online | Hybrid |
| Batch Timings | Morning | Afternoon | Evening | Weekend |
| Class Duration | 1.5 Hours per Session |
| Fee Structure | One-Time Payment | Flexible EMI Options Available |
| Eligibility | 10th Pass & Above | No Prior Coding Required |
| Certification | Anshika Digital Media + NSDC - Backed Certificate |
| Live Projects | 6+ Real Client-Based Projects |
| Placement | 100% Placement Assistance |
| Salary Scope | ₹5 LPA – ₹25 LPA (Freshers to Senior Roles) |
Course Curriculum (2026 Updated)
A structured, progressive curriculum covering 50+ modules from foundations to advanced ML, Deep Learning, Generative AI, and MLOps deployment.
- Python setup, syntax, variables, data types, operators, and control flow
- Functions, modules, file handling, and exception management
- Object-Oriented Programming (OOP) – classes, objects, inheritance
- List comprehensions, lambda functions, iterators, and generators
- Working with APIs and JSON data in Python
- Relational database concepts – tables, keys, relationships
- Core SQL: SELECT, WHERE, GROUP BY, HAVING, ORDER BY
- Joins: INNER, LEFT, RIGHT, FULL OUTER, CROSS JOIN
- Window Functions: ROW_NUMBER, RANK, DENSE_RANK, LAG, LEAD
- Subqueries, CTEs, Stored Procedures, and Views
- SQL + Python integration using pandas and SQLAlchemy
- Descriptive statistics: mean, median, mode, variance, standard deviation
- Probability theory, Bayes theorem, and conditional probability
- Probability distributions: Normal, Binomial, Poisson, Exponential
- Inferential statistics: hypothesis testing, p-values, t-tests, z-tests, chi-square
- Correlation, covariance, and regression analysis
- A/B Testing methodology for business decisions
- NumPy arrays, mathematical operations, broadcasting, and reshaping
- Pandas Series & DataFrames – creation, indexing, slicing
- Data loading from CSV, Excel, SQL, JSON, and Web APIs
- Data cleaning: handling null values, outliers, duplicates, and type conversion
- GroupBy operations, merge, join, concatenation, and pivot tables
- Time series data handling with DatetimeIndex and resampling
- Matplotlib: line charts, bar charts, scatter plots, histograms, pie charts
- Seaborn: heatmaps, pair plots, violin plots, box plots, regression plots
- Plotly & Plotly Express: interactive dashboards and 3D visualizations
- Data storytelling — how to design visualizations that communicate insights effectively
Real project: Exploratory Data Analysis (EDA) on e-commerce sales dataset
- Introduction to ML: types, bias-variance tradeoff, overfitting, underfitting
- Linear Regression: simple, multiple, polynomial – assumptions and diagnostics
- Logistic Regression for binary and multiclass classification
- Decision Trees: CART algorithm, entropy, information gain, Gini index
- Random Forests, Gradient Boosting, XGBoost, LightGBM
- Support Vector Machines (SVM) – kernel trick and hyperplane optimization
- K-Nearest Neighbors (KNN) and Naive Bayes classifiers
- Model evaluation: accuracy, precision, recall, F1 score, ROC-AUC curve
- Hyperparameter tuning with Grid Search and Randomized Search CV
Real project: Customer Churn Prediction using ensemble ML models
- Clustering algorithms: K-Means, DBSCAN, Hierarchical Clustering
- Elbow method and Silhouette score for optimal cluster selection
- Dimensionality Reduction: PCA (Principal Component Analysis), t-SNE
- Anomaly Detection techniques for fraud and outlier identification
- Association Rule Learning: Apriori algorithm and market basket analysis
Real project: Customer Segmentation for e-commerce marketing strategy
- Fundamentals of neural networks – perceptron, activation functions, backpropagation
- Building Artificial Neural Networks (ANN) with TensorFlow and Keras
- Convolutional Neural Networks (CNN) for image recognition and classification
- Recurrent Neural Networks (RNN) and LSTM for sequential data and time series
- Transfer Learning with pre-trained models (VGG, ResNet, MobileNet)
- Batch normalization, dropout, early stopping – regularization techniques
Real project: Image Classification using CNN on real-world dataset
- Text preprocessing: tokenization, stopword removal, stemming, lemmatization
- Bag-of-Words, TF-IDF, and Word Embeddings (Word2Vec, GloVe)
- Sentiment Analysis and Opinion Mining
- Text classification with ML and Deep Learning models
- Introduction to Transformer models and BERT basics
Real project: Sentiment Analysis on product reviews using Python NLP
- Introduction to Artificial Intelligence – narrow AI, general AI, and AGI concepts
- Overview of Large Language Models (LLMs) – GPT, Gemini, LLaMA
- Prompt Engineering fundamentals for AI tools in business analytics
- Using AI APIs (OpenAI, Google Gemini) for Data Science automation
- Ethical AI – bias, fairness, transparency, and responsible AI practices
- AI in business: use cases in Delhi NCR's top industries (BFSI, retail, healthcare)
- Power BI: data modeling, DAX measures, interactive dashboards, Power BI Service
- Tableau: calculated fields, story points, advanced visualizations
- Connecting Python ML model outputs to Power BI dashboards
- Building executive-level reporting dashboards for stakeholders
Real project: End-to-end ML-powered sales forecasting dashboard in Power BI
- Saving and loading ML models with pickle and joblib
- Building REST APIs for ML models using Flask and FastAPI
- Introduction to Docker for containerizing Data Science applications
- Cloud deployment basics: AWS SageMaker, Google Colab Pro, Azure ML
- Introduction to MLOps concepts: model monitoring, versioning, retraining
Real Capstone Project: End-to-end Data Science project from raw data to deployed web application
Career Opportunities & Salaries in 2026
The Data Science job market in Delhi NCR is exceptionally strong. Here are the top career paths and salary ranges for our graduates:
Data Scientist
Skills: Python, ML, Statistics, NLP
Salary Range
₹6 – ₹20 LPA
Machine Learning Engineer
Skills: Python, TensorFlow, MLOps, APIs
Salary Range
₹8 – ₹22 LPA
AI Researcher / Analyst
Skills: Deep Learning, NLP, LLMs
Salary Range
₹7 – ₹18 LPA
NLP Engineer
Skills: Python, NLP, BERT, Transformers
Salary Range
₹8 – ₹20 LPA
BI Developer (ML-Powered)
Skills: Power BI, Python, DAX
Salary Range
₹5 – ₹14 LPA
Data Science Consultant
Skills: End-to-end workflow, Communication
Salary Range
₹10 – ₹25 LPA
Fresher / Entry-Level DS Analyst
Skills: Python, SQL, ML basics, Excel
Salary Range
₹5 – ₹8 LPA
Top Companies Hiring Data Scientists in 2026
TCS, Infosys, Wipro, Accenture, Amazon, Flipkart, Zomato, PolicyBazaar, HDFC Bank, PhonePe, Delhivery, Nykaa, 1mg, Times Internet, and 100+ Delhi NCR startups.
Student Success Stories
Read how our practical, doubt-clearing sessions and portfolio building helped graduates transform their careers.
“I was a commerce graduate with no coding knowledge when I joined Anshika Digital Media's Data Science Course. In 11 months, I learned Python, built my own ML models, and got placed as a Junior Data Scientist at a Delhi-based fintech firm with a ₹6.8 LPA package. The trainer's real-industry experience made everything click.”
Nikhil Arora
Data Scientist, Batch 2025
“The NLP and Deep Learning modules were exceptional. I had tried online courses before but always got stuck. Here, the step-by-step practical approach and individual doubt sessions made the difference. I am now working as an AI Research Analyst and the salary jump has been incredible.”
Shreya Kapoor
AI Research Analyst, Batch 2025
Student Feedback
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Frequently Asked Questions
Find answers to common questions about the course, eligibility, batch timings, placements, and certification.
Anshika Digital Media offers the most comprehensive and up-to-date Data Science Course in Delhi for 2026, covering Python, Machine Learning, Deep Learning, NLP, Generative AI basics, Power BI, and Tableau — all taught by an expert trainer with 12+ years of industry experience, with 100% placement support and MSME + NSDC recognized certification.
The Data Science Course is 10–12 months long, covering 50+ modules from Python basics to AI deployment. Fast-track options are available for working professionals. Classes are 1.5 hours per session with morning, afternoon, evening, and weekend batch options.
No prior coding or technical background is required. The Data Science Course at Anshika Digital Media starts from absolute basics — Python fundamentals, basic mathematics, and data concepts — and progressively builds towards advanced Machine Learning and AI. Students from commerce, arts, science, and engineering backgrounds have all successfully completed this course.
Yes. Anshika Digital Media offers offline classroom training near Saket Metro Station (South Delhi), as well as fully online live interactive sessions and hybrid options. Online students receive recorded session access, live doubt-clearing, and the same placement support as offline students.
You will master Python (NumPy, Pandas, Matplotlib, Seaborn, Scikit-learn, TensorFlow, Keras), SQL (MySQL/SQL Server), Power BI, Tableau, Plotly, Flask/FastAPI for deployment, and basics of Generative AI tools. These cover 95%+ of what employers look for in Data Science job descriptions in 2026.
Freshers completing the Data Science Course at Anshika Digital Media typically secure starting salaries of ₹5 LPA to ₹8 LPA in Delhi NCR. With 2–3 years of experience, salaries commonly reach ₹12–18 LPA. Senior Data Scientists and ML Engineers in Delhi earn ₹20–30 LPA and above.
Yes. 100% Placement Assistance is provided to every student who successfully completes the course. This includes resume building, LinkedIn optimization, technical and HR mock interviews, portfolio reviews, and direct referrals to hiring companies. Every month, 10+ students get placed through our dedicated placement cell.
Call or WhatsApp us at +91 85952 01835, visit us at F-76, Near Saket Metro Station Gate 2, New Delhi – 110030, or fill the online inquiry form at anshikadigitalmedia.in. Book a FREE Demo Class to experience our teaching quality before committing to enrollment.
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