Master Data Science Engineering
From Python basics to LLM deployment. 14-month comprehensive program with enterprise projects and guaranteed job placement.
Course Overview
Transform your career with comprehensive course curriculum
From Zero to Data Scientist in 14 Months
Complete Data Science Masters: Python → ML → Deep Learning → MLOps → LLM Engineering → Production Deployment. 8+ real-world projects.
What You'll Master
Why This 14-Month Program Wins
Production-First
Every module builds deployable ML systems.
8 Portfolio Projects
E-commerce rec, fraud detection, LLM chatbots.
Job Guaranteed
95% placement + 1:1 interview prep.
Masters Faculty
PhD instructors from Google, Amazon, startups.
Complete Data Science Masters
Excel → ML → DL → Production Deployment
Topics Covered:
- VLOOKUP/XLOOKUP/INDEX-MATCH, dynamic arrays
- PivotTables, slicers, Power Query ETL
- Text functions, data validation
- Conditional formatting, dashboards
Topics Covered:
- Variables, loops, functions, comprehensions
- OOP, error handling, file I/O
- SQLAlchemy + MySQL connector
- Modules, lambda, decorators
Topics Covered:
- CRUD + Joins + Window functions + CTEs
- Normalization, indexes, EXPLAIN optimization
- Stored procedures, triggers, transactions
- Pagination + query performance
Topics Covered:
- NumPy arrays, broadcasting, indexing
- Pandas DataFrames, groupby, merge
- Data cleaning: missing, outliers, duplicates
- EDA: correlations, pivot tables
Topics Covered:
- Matplotlib: subplots, customization
- Seaborn: heatmaps, violin, pairplot
- Pandas plotting, correlation matrices
- Dashboard storytelling
Topics Covered:
- Hypothesis testing, p-values, confidence intervals
- Bias-variance tradeoff, overfitting diagnosis
- Distributions, CLT, A/B testing
- Regression + correlation analysis
Topics Covered:
- Scaling, encoding, polynomial features
- SMOTE, target encoding, imputation
- Feature selection: RFE, Lasso, trees
- Domain feature creation
Topics Covered:
- K-fold CV, train/val/test splits
- Regression: RMSE/MAE/R² metrics
- Classification: ROC/F1/confusion matrix
- Learning curves, baseline models
Topics Covered:
- Linear/Ridge/Lasso regression
- Decision Trees, Random Forest
- XGBoost/LightGBM gradient boosting
- Cross-validation tuning
Topics Covered:
- Logistic regression, SVM, KNN
- Tree ensembles, gradient boosting
- Imbalanced: SMOTE, threshold tuning
- ROC-AUC, PR curves
Topics Covered:
- Grid/random search strategies
- Bayesian optimization intro
- Cross-validation with tuning
- Avoiding validation overfitting
Topics Covered:
- K-Means, elbow/silhouette method
- Hierarchical clustering, dendrograms
- DBSCAN density-based clustering
- Gaussian Mixture Models
Topics Covered:
- PCA principal component analysis
- t-SNE, UMAP visualization
- Isolation Forest anomalies
- Z-score/IQR outlier detection
Topics Covered:
- Perceptron, backpropagation, gradient descent
- Feedforward networks, Keras/TensorFlow
- Dropout, batch normalization
- Loss functions, optimizers
Topics Covered:
- CNN convolutions, pooling, filters
- Image classification basics
- LSTM/GRU sequence modeling
- ARIMA + LSTM forecasting
Topics Covered:
- Tokenization, TF-IDF, embeddings
- Sentiment analysis, text classification
- Stemming, lemmatization, stopwords
- Word2Vec similarity concepts
Topics Covered:
- Content-based filtering, cosine similarity
- Collaborative filtering matrix factorization
- Cold start solutions
- Precision@K evaluation
Topics Covered:
- FastAPI model serving, Docker containerization
- Model serialization, MLflow tracking
- CI/CD pipelines, GitHub Actions
- Data drift monitoring
Topics Covered:
- Dog Breed CNN, House Price Predictor
- Customer Churn, Fraud Detection
- Healthcare ML, ChatGPT Clone
- Zomato + E-commerce systems
Want the Complete Course Details?
Download our comprehensive syllabus with detailed week-by-week breakdown, learning objectives, and project details.
Course Features & Benefits
Everything you need for a successful learning experience
Classroom-Based Learning
Learn in a focused, distraction-free classroom environment.
Expert Faculty Support
Get direct guidance from experienced and qualified trainers.
Hands-On Practical Training
Practice on real systems with live projects and exercises.
Dedicated Doubt Clearing
Ask questions face-to-face and get instant clarification.
Small Batch Size
Limited students per batch for personal attention.
Career & Job Assistance
Resume help, interview preparation, and job guidance after course completion.
What Our Students Say
Real success stories from our course graduates
Pradeep Arya
6 month ago
Excellent coaching classes with professional teachers and a supportive learning environment.
Bhavishya Kumar
4 month ago
I've studied here for the last 6 months, and my experience has been excellent. The faculty is knowledgeable and supportive.
Shikha Yadav
1 month ago
The education centre is an excellent place for learning with experienced teachers and modern facilities.
Harsh
1 month ago
The institute is easy to reach since it's located right on the main road. Great learning experience with dedicated faculty.
Shristi Kumari
2 months ago
The learning environment is excellent—peaceful, well-organized, and perfect for focused study.
Frequently Asked Questions
Get answers to common questions about our Data Science course
Ready For Data Science Masters?
500+ placed at Google, Amazon, startups. Next batch: 20 seats left!
PhD Faculty
Ex-Google, Amazon, startup CTOs
Masters Certification
Recognized by 500+ hiring companies
95% Job Placement
Guaranteed interviews + salary negotiation
Limited Time Offer
What's Included:
- 14 months live mentorship
- 12 production ML projects
- Masters certification
- Lifetime job support
Learn Data Science Across Delhi
Discover our state-of-the-art Data Science training centers strategically located throughout Delhi NCR. Whether you're in South Delhi, Central Delhi, or nearby areas, we bring quality education closer to your doorstep. Choose the most convenient location and start your learning journey today with expert trainers, modern infrastructure, and hands-on practical training.