✅ Placement Guaranteed⭐ 4.8 / 5 (293 reviews)

Data Science

Transform raw data into actionable insights and intelligent predictions. Master Python, ML, deep learning, and business analytics to become a data scientist at India's top companies.

20Weeks

7Projects

90%Placement Rate

₹13LAvg Package

Course Overview

Data Science is the bridge between raw information and strategic business decisions. This 20-week programme covers the complete data science pipeline — from data collection and cleaning through statistical analysis, machine learning, deep learning, and deploying models that drive real business outcomes. You'll work on real datasets from finance, healthcare, retail, and technology sectors.

What You'll Master

📊

Data Analysis & EDA

Pandas, NumPy, Matplotlib, Seaborn — explore, clean, and visualise datasets of any size.

🤖

Machine Learning

scikit-learn, supervised and unsupervised learning, hyperparameter tuning, ensemble methods.

🧠

Deep Learning

TensorFlow/Keras neural networks, CNNs for images, LSTMs for time-series and NLP tasks.

📈

Business Analytics & BI

Power BI and Tableau dashboards, SQL analytics, A/B testing, and KPI reporting for business.

📡

Big Data & Spark

Apache Spark for distributed data processing, Hadoop fundamentals, and cloud data pipelines on AWS.

🚀

MLOps & Model Deployment

Deploy models with FastAPI, containerise with Docker, monitor with MLflow, and manage with AWS SageMaker.

Career Outcomes

💰

Average Salary

Entry-level: ₹8–13 LPA
Mid-level: ₹15–25 LPA
Senior Data Scientist: ₹28–50 LPA

🛤️

Career Path

Data Analyst → Data Scientist → Senior Data Scientist → Head of Data / Chief Data Officer

💼

Job Roles

Data Scientist, ML Engineer, Data Analyst, Business Intelligence Analyst, Analytics Engineer

🏢

Hiring Companies

Mu Sigma, Fractal Analytics, Tiger Analytics, Amazon, Flipkart, Google India, KPMG, Deloitte, and 500+ partners.

Who Should Join

📊

Analysts & Executives

Business analysts and MBAs who want to add data science to their strategic toolkit.

🎓

Science Graduates

B.Sc. Mathematics, Statistics, or Physics graduates who want high-paying tech careers.

💻

Python Developers

Developers who want to pivot from software engineering to the higher-paying data science field.

📋 Eligibility

✅ Any graduate — science, commerce, or engineering background welcome
✅ Basic Python knowledge (we provide a Python primer)
✅ High-school level maths (statistics, algebra)
✅ Laptop with 8GB RAM and internet

Course Curriculum

20 weeks · 150+ hours · Live weekend sessions + daily coding practice

WEEK 1–2

Python for Data Science — NumPy, Pandas, Matplotlib, Seaborn

10 lessons

WEEK 3–4

Statistics & Probability for Data Science

8 lessons

WEEK 5–7

SQL & Database Analytics — PostgreSQL, Window Functions, CTEs

10 lessons

WEEK 8–11

Machine Learning — Supervised, Unsupervised, Ensemble Methods

16 lessons

WEEK 12–14

Deep Learning with TensorFlow — CNNs, RNNs, Transfer Learning

12 lessons

WEEK 15–16

Business Analytics — Power BI, Tableau, A/B Testing

8 lessons

WEEK 17–18

Big Data & Spark — Distributed Processing, Cloud Pipelines

8 lessons

WEEK 19–20

Capstone Project + Portfolio + Placement Prep

Project Week

7 Industry Projects

Sales Forecasting Engine

Time-series ML model predicting retail sales for a 90-day horizon with ARIMA, Prophet, and LSTM comparison.

Credit Risk Scoring Model

Loan default prediction model using gradient boosting and SHAP explainability for a banking dataset.

NLP Customer Feedback Analyser

Automatic classification of 50,000+ customer reviews into topics and sentiment using BERT fine-tuning.

Healthcare Analytics Dashboard

Power BI dashboard for hospital patient outcomes, readmission prediction, and resource utilisation analysis.

E-Commerce Recommendation Engine

Collaborative filtering and content-based hybrid recommender deployed as a live FastAPI endpoint.

Image Classification Pipeline

Transfer learning CNN classifying 10 product categories with 96% accuracy — deployed on AWS SageMaker.

Real-Time Fraud Detection

Anomaly detection model monitoring transactions in real time using Kafka streaming and Spark ML.

Certification & Recognition

🎓 Kamdhenu Skills Data Science Certification

Receive the Kamdhenu Skills Certified Data Scientist credential. Recognised by 500+ hiring partners. Prepares you for IBM Data Science Professional Certificate, Google Data Analytics, and AWS ML Specialty exams.

Placement Support

📄

Portfolio Building

Kaggle profile, GitHub data projects, and a personal portfolio website reviewed and optimised.

🎙️

Case Study Interviews

Practice data science case studies as used by Mu Sigma, McKinsey, and analytics firms.

🏢

Direct Company Referrals

Exclusive referrals to top analytics firms, product companies, and data consultancies.

🔄

Guarantee Until Hired

Unlimited placement support until you accept a job offer — no time limits, no excuses.

Frequently Asked Questions

No advanced maths is required. We cover all necessary statistics and linear algebra within the first 4 weeks of the programme using Python to make it practical.

Yes. Week 15–16 covers both Power BI and Tableau for business intelligence reporting, including building live dashboards connected to databases.

7 industry-grade projects spanning finance (credit risk), healthcare (patient outcomes), retail (sales forecasting), NLP (customer feedback), and real-time fraud detection — exactly the domains companies hire for.

The AI course focuses more on model architecture and production AI systems. The Data Science course focuses more on business analytics, data pipelines, EDA, SQL, and BI tools — making it better suited for data analyst and data scientist roles in analytics-heavy teams.

Student Reviews

★★★★★

"Came from an accounting background. The way Kamdhenu Skills taught statistics through Python completely changed how I think about data. Got placed at KPMG Analytics for ₹13.5 LPA."

Aditya Patel

Data Analyst • KPMG Analytics

★★★★★

"The Kaggle competitions module was exactly what I needed to build a real portfolio. Three months after graduating I was a Senior Data Scientist at Mu Sigma. Incredible ROI on this course."

Tanvi Rao

Data Scientist • Mu Sigma