Data Science & AI Course in Uttam Nagar, Delhi
Learn Data Science & AI at our Uttam Nagar (Nawada) branch — Nawada Metro Station (Blue Line). Classroom + live online, real company projects, and placement support.
Why learn Data Science & AI in Uttam Nagar?
Students from Uttam Nagar, Nawada, Mohan Garden, Vikaspuri, Om Vihar and Dwarka Mor choose our Uttam Nagar centre because it is close to Nawada Metro Station (Blue Line) and the batches fit around college and office timings. Every class is hands-on with company-style data, and your progress is tracked topic by topic on our online test portal.
2nd Floor, Plot No. 10, Main Najafgarh Road, Opp. Pillar No. 713, next to IDBI Bank, Om Vihar Phase 1A, near Nawada Metro Station, Uttam Nagar, New Delhi, 110059
🚇 Nawada Metro Station (Blue Line) · 🕘 Mon–Sat, 9 AM – 6 PM
Data Science & AI syllabus
01Data Science & AI Foundation (10 hrs)4 topics
- Data analyst vs data scientist vs ML engineer
- AI vs ML vs deep learning vs GenAI
- Data science lifecycle & CRISP-DM
- Turning a business problem into a data science problem
02Advanced Excel + AI for Analytics (20 hrs)5 topics
- XLOOKUP, INDEX-MATCH, SUMIFS, dynamic arrays
- Power Query, Pivot Tables, Power Pivot, Solver
- Regression & forecasting in Excel
- Copilot / GenAI workflows; generating VBA with AI
- Project: sales & profitability dashboard
03SQL + Database + AI (35 hrs)5 topics
- Joins, CASE, subqueries, views
- CTEs, recursive CTEs, window functions, LEAD / LAG
- Running totals, moving averages, cohort analysis
- AI-generated SQL & natural language → SQL
- Project: e-commerce customer & sales analytics
04Python Programming (35 hrs)3 topics
- Core Python, OOP, modules & virtual environments
- APIs, JSON, regex, web data collection
- Jupyter, Google Colab, VS Code
05Python for Data Analysis (30 hrs)4 topics
- NumPy vectorisation & broadcasting
- Pandas GroupBy, merge, pivot, apply
- Matplotlib, Seaborn, Plotly
- Project: customer sales & marketing analysis
06Statistics & Probability (30 hrs)4 topics
- Descriptive statistics, IQR, z-score, correlation
- Probability, Bayes theorem & distributions
- Sampling, confidence intervals, hypothesis tests (t, z, chi-square, ANOVA)
- A/B testing & campaign analysis
07Data Visualisation — Power BI + Tableau (20 hrs)3 topics
- Power BI modelling, DAX, RLS, storytelling
- Tableau calculated fields, parameters & stories
- Project: management BI dashboard
08Exploratory Data Analysis (20 hrs)4 topics
- Missing values, outliers, duplicates
- Univariate, bivariate & multivariate analysis
- Feature creation & data leakage
- Project: loan applicant analysis
09Machine Learning (55 hrs)4 topics
- Supervised vs unsupervised; train / test, cross-validation, bias / variance
- Linear, ridge, lasso & elastic-net regression
- Logistic regression, KNN, Naive Bayes, decision tree, random forest, SVM
- Bagging & boosting: XGBoost, LightGBM, CatBoost
10Advanced ML & Model Evaluation (25 hrs)4 topics
- K-Means, hierarchical clustering, DBSCAN, PCA, anomaly detection
- MAE, RMSE, R², MAPE; precision, recall, F1, ROC-AUC
- Hyperparameter tuning, feature selection, explainability
- Project: customer segmentation
11Time Series & Forecasting (15 hrs)3 topics
- Trend, seasonality, stationarity
- Moving average, exponential smoothing, ARIMA, SARIMA, Prophet
- Projects: sales & inventory demand forecasting
12NLP (20 hrs)3 topics
- Tokenisation, stemming, lemmatisation, TF-IDF
- Word embeddings, transformers, Hugging Face, BERT
- Project: customer review sentiment analysis
13Deep Learning (30 hrs)4 topics
- Neural networks, backpropagation, optimisers
- TensorFlow, Keras, PyTorch
- CNNs, transfer learning, RNN, LSTM, GRU
- Project: image classification or churn neural network
14Generative AI & LLMs (30 hrs)3 topics
- LLM concepts, tokens, context window, embeddings
- OpenAI API & Hugging Face
- Prompt engineering: zero / few-shot, chain-of-thought, structured output
15RAG Applications (20 hrs)4 topics
- Chunking, embeddings, vector databases
- Retrieval, context injection, evaluation
- LangChain, FAISS / Chroma
- Project: institute knowledge assistant
16Agentic AI (20 hrs)3 topics
- Agents, tools & function calling
- Memory, planning, multi-agent systems, human-in-the-loop
- AI sales, resume-screening & MIS reporting agents
17Deployment & MLOps (25 hrs)3 topics
- Streamlit, Flask / FastAPI, Gradio
- Docker basics
- Model versioning, experiment tracking, MLflow, monitoring
18Cloud & Big Data Basics (15 hrs)2 topics
- AWS / Azure / GCP concepts
- Spark, PySpark, ETL & data pipelines
19Git / GitHub + Portfolio (10 hrs)3 topics
- Git, branches, commits, pull requests
- README & project documentation
- A GitHub portfolio of 10–15 projects
20Capstone Projects (40 hrs)3 topics
- Business data science: SQL + Python + statistics + ML + Power BI
- AI / ML: churn prediction platform with explainability & Streamlit
- GenAI: enterprise RAG + AI agent web application
21Interview & Placement Preparation (20 hrs)3 topics
- SQL, Python, statistics, ML & Power BI question banks
- Case studies & mock interviews (technical, HR, managerial)
- ATS resume, LinkedIn, GitHub & Kaggle profile
Read the full Data Science & AI syllabus page →
Fees & duration
| Programme | Duration | Fees |
|---|---|---|
| Professional Data Science & AI (GenAI, ML & Agentic AI) | 10–12 months | ₹75,000 + GST |
FAQs — Data Science & AI course in Uttam Nagar
Where is the Data Science & AI institute in Uttam Nagar?
Our Uttam Nagar (Nawada) branch is at 2nd Floor, Plot No. 10, Main Najafgarh Road, Opp. Pillar No. 713, next to IDBI Bank, Om Vihar Phase 1A, near Nawada Metro Station, Uttam Nagar, New Delhi, 110059. Nearest metro: Nawada Metro Station (Blue Line).
What is the fee for the Data Science & AI course in Uttam Nagar?
It is part of Professional Data Science & AI (GenAI, ML & Agentic AI) (₹75,000 + GST, 10–12 months). Instalments are available.
Do you have weekend batches in Uttam Nagar?
Yes — weekday and weekend batches run at the Uttam Nagar branch, and live online batches are available if you cannot travel.
Is there placement support?
Yes. Aptitude training, resume and LinkedIn building, mock interviews and company drives through our online test portal.
Students from which areas join this branch?
Mostly from Uttam Nagar, Nawada, Mohan Garden, Vikaspuri, Om Vihar, Dwarka Mor and nearby areas of West Delhi.