Data Science with AI
Turn raw data into decisions. Learn the complete data pipeline — from collection and cleaning to visualization and machine learning.
Why Data Science with AI in 2024–2025?
97,000+ unfilled data roles across India
Every industry — from e-commerce to healthcare — is desperately seeking data professionals. The talent gap continues to widen every quarter, making this a seller's market for skilled analysts.
Data is the oil of the 21st century
Companies sitting on terabytes of data need people who can extract meaning from it. Every business decision today is driven by data — and the people who analyse it hold the power.
Cleanest path from learning to high-paying employment
Data Science offers one of the shortest learning curves to a rewarding career. With just 4 months of structured training, you're job-ready for roles that most degrees take years to prepare for.
Data Science Job Growth (India)
What You Will Learn
Foundations of data science, career paths, data lifecycle, and industry applications. Understand the fundamentals and discover what modern data science professionals do.
Python fundamentals, data structures, functions, and libraries. Master Python as the primary language for data science work.
Probability, distributions, hypothesis testing, and statistical inference. The mathematical foundation that powers data-driven insights.
Exploratory data analysis, Matplotlib, Seaborn, Tableau, Power BI. Transform raw data into compelling visual stories that drive business decisions.
MySQL querying, joins, aggregations, window functions. Extract and manipulate data directly from databases with SQL confidence.
Supervised learning, regression, classification, ensemble methods. Build predictive models using Scikit-Learn that solve real-world business problems.
Neural networks, TensorFlow, PyTorch, backpropagation. Master deep learning architectures for complex pattern recognition and prediction tasks.
Text preprocessing, tokenization, sentiment analysis, text classification. Extract meaningful insights from unstructured text data and build intelligent NLP applications.
Image processing, CNN architectures, object detection, image classification. Unlock the power of visual data to solve real-world computer vision problems.
ARIMA, exponential smoothing, LSTM networks. Forecast trends and patterns from time-dependent data for business planning and decision making.
GANs, transformers, LLMs, prompt engineering. Work with cutting-edge generative models to create synthetic data, text, and advance AI capabilities.
End-to-end industry project combining all modules. Design, build, and present a complete data science solution from problem definition through deployment.
Tools You'll Master
After This Program, You Will:
Query and manage databases using SQL with confidence
Clean, wrangle and transform messy datasets using Python and Pandas
Build interactive dashboards in Tableau and Power BI
Apply statistical methods including hypothesis testing and A/B testing
Implement machine learning models for prediction and classification
Present data-driven business insights to non-technical stakeholders
Where This Takes You
Data Analyst
Top hiring: Accenture, Deloitte, Infosys
Data Scientist
Top hiring: Amazon, Flipkart, TCS
Business Intelligence Analyst
Top hiring: Wipro, Cognizant, EY
Analytics Consultant
Top hiring: McKinsey, KPMG, PwC
Your Journey — Week by Week
Weeks 1–2
Data Foundations
Weeks 3–5
Python & Data Wrangling
Weeks 6–7
SQL & Databases
Weeks 8–11
Stats & Visualization
Weeks 12–16
ML & Real-World Projects
Ready to Master Data Science with AI?
Next batch starts April 2026. Limited seats available. Book your free demo class and experience our teaching quality firsthand.