Join Coding Now – Gurukul of AI. Master Python, Pandas, Machine Learning & Data Visualization. The most comprehensive Data Science program in Shalimar Bagh. Batch July 2026.
Become a data scientist — from Python foundations to building predictive models and deploying solutions.
Master Python, Pandas, NumPy for data manipulation, cleaning, and efficient data handling.
Master statistical inference, confidence intervals, and design rigorous A/B tests for business decisions.
Build regression, classification, and clustering models using Scikit-learn, Random Forests, and XGBoost.
Create publication-grade dashboards and visualizations using Matplotlib, Seaborn, and executive reporting.
Learn Hadoop, Spark, and build scalable machine learning pipelines for enterprise environments.
Build production-ready REST APIs and deploy machine learning systems using FastAPI and cloud platforms.
4-month intensive program at Coding Now Shalimar Bagh. Build 5 production-grade data science applications.
| Module | Topics Covered | Duration |
|---|---|---|
| Module 1 Python Foundations | Variables, loops, functions, OOP, data structures (lists, tuples, dictionaries) | 1 Week |
| Module 2 Statistical Inference | Confidence intervals, probability distributions, hypothesis testing, A/B testing | 2 Weeks |
| Module 3 Data Wrangling with Pandas | Data cleaning, transformation, merging, aggregation, and exploratory data analysis | 2 Weeks |
| Module 4 Data Visualization | Matplotlib, Seaborn, Plotly, executive dashboards, and KPI reporting | 1 Week |
| Module 5 Regression Models | Linear regression, regularization, evaluation metrics, and forecasting systems | 2 Weeks |
| Module 6 Classification Algorithms | Logistic regression, decision trees, random forests, evaluation metrics | 2 Weeks |
| Module 7 Ensemble Methods | Bagging, boosting, XGBoost, and advanced ensemble techniques | 1 Week |
| Module 8 Unsupervised Learning | K-Means, hierarchical clustering, PCA, and customer segmentation | 1 Week |
| Module 9 Time Series & Big Data | ARIMA, forecasting, Hadoop, Spark, and scalable ML pipelines | 2 Weeks |
| Module 10 Capstone Project | End-to-end data science application with deployment and reporting | 3 Weeks |
Every student builds and deploys 5 production-grade data science applications.
Build a time series forecasting model to predict sales using ARIMA and XGBoost with interactive dashboards.
Develop a classification model to predict customer churn using logistic regression and random forests.
Apply K-Means clustering to segment customers based on purchasing behavior for targeted marketing.
Build a fraud detection system using ensemble methods and anomaly detection techniques.
Data Science course location — Shalimar Bagh. Well-connected to all parts of Delhi.
Join the best Data Science course in Shalimar Bagh. Batch starts July 2026 — only 20 seats per batch. Book your free demo today.
Shalimar Bagh, New Delhi – 110088
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