- AI-Powered Curriculum x Industry Partnership
Data Science
Learn the skills required for data analyst and junior data science roles — and apply them to real business problems.
This Data Science program trains you to work with data end-to-end — from cleaning and analysis to modeling and interpretation — using modern data science tools and AI-driven techniques. You’ll learn how organisations use data science to forecast trends, automate decisions, and improve performance across marketing, finance, operations, and product teams.
- Graduate in 3 months
- Land the job with 1:1 career coaching
- 100% project-based AI-integrated curriculum
Upskill with Clusters
Our Partners
What You'll Learn in This Data Science Course
Master data science fundamentals with hands-on projects and real-world datasets.
Python for data science
SQL for data querying
Data cleaning & preprocessing
Exploratory data analysis
Machine learning fundamentals
Real-world industry projects
Internship opportunities
Interview preparation & placement support
Tools & Technologies You'll Master
Excel
Power BI
Tableau
Pandas
NumPy
Matplotlib
Seaborn
Comprehensive Curriculum – Data Science & AI
Master both technical and applied skills required for data science and AI roles.
- Python for Data Science
- SQL for data extraction & analysis
- Data cleaning & preprocessing
- Data visualization
- Basic statistics & probability
Supervised learning
- Linear & Logistic Regression
- Classification techniques
- Decision Trees & Random Forest
Unsupervised learning
- Clustering
- Principal Component Analysis (PCA)
Model evaluation
- Accuracy, Precision, Recall
- F1-score, ROC-AUC
Deep Learning fundamentals
- Neural Networks
- CNN (image-based AI)
- RNN / LSTM (time-series data)
Natural Language Processing (NLP)
- Text preprocessing
- Sentiment analysis
Model deployment
- Streamlit/Flask
MLOps basics
- MLflow
- Model lifecycle tracking
Real-world business problem
End-to-end AI project lifecycle
- Data collection
- Model building
- Evaluation
- Deployment
Build a Job-Ready Portfolio
Complete real-world projects and graduate with deployable AI work.
Mini Projects
Hands-on problem-solving exercises
Internship / Real-Time Capstone Project
End-to-end AI solution
Real-world Data
Industry-style datasets and use cases
Learning Outcomes
- Analyze and prepare real business data
- Build and evaluate machine learning models
- Develop recommendation and prediction systems
- Apply NLP and deep learning techniques
- Deploy AI models as live applications
Work 1-on-1 with Industry Mentors
Get personalized guidance from professionals working in data science and AI roles.
01
Personalized Guidance
Regular 1:1 mentor sessions
02
Accountability
Structured learning milestones
03
Industry Context
Real-world workflows and practices
04
Expert Mentors
5+ years of industry experience
Real outcomes from students who built practical data and AI skills.
“Working with real datasets and deploying a model made a big difference for my interviews.”
Ananya S
Data Science
“The projects were relevant and helped me understand how data science is used in practice.”
Arjun M
Data Science
“I had basic coding knowledge, but this course helped me understand how data science actually works in real companies. The projects and capstone gave me confidence during interviews.”
Mahesh Kumar K
Data Science
Land the Job with 1:1 Career Coaching
Get dedicated support throughout your job search journey
Job Search Strategy
Resume & portfolio support
Mock Interviews
Salary negotiation guidance
- NEED HELP
Frequently Asked Questions
Everything you need to know about our Data Science course.
No. The course is available in both online and offline modes, with live sessions and recorded lectures.
Basic computer skills and English proficiency are sufficient. No prior data science or AI experience is required.
After completing 60–70% of the curriculum, students work on a real-time internship-style capstone project.
Data Analyst, Junior Data Scientist, Machine Learning Intern, AI / ML Intern, Junior AI Engineer.
Yes. Flexible EMI options are available.
Yes. You’ll receive an industry-recognized certificate upon successful completion of the course and projects.
The course follows a structured weekly schedule and is suitable for students and early professionals.
1:1 mentorship, doubt resolution, peer access, real-time projects, internship exposure, interview prep, and lifetime material access.