Course Curriculum
Data ScienceComplete Syllabus & Module Breakdown
Full Curriculum
Data Science — Complete Syllabus
5 modules · all topics listed · last updated 2026
Python & Statistics
- Python for Data Science
- NumPy & Pandas
- Probability & Statistics
- Hypothesis Testing
Machine Learning
- Supervised Learning
- Unsupervised Learning
- Model Evaluation
- Feature Engineering
Deep Learning
- Neural Networks
- TensorFlow & Keras
- CNN for Images
- NLP Basics
Data Visualization
- Matplotlib & Seaborn
- Power BI
- Tableau
- Storytelling with Data
Capstone & Deployment
- Real-world ML Project
- Model Deployment with Flask
- Docker Basics
- Interview Preparation
Frequently Asked Questions
Is Data Science a good career choice?
Data Science is consistently ranked among the top 3 highest-paying careers globally. India has a large talent gap — demand far outstrips supply.
Do I need a math background?
You need to understand statistics at an intermediate level. We cover all required math from the ground up.
What machine learning algorithms are covered?
Linear and logistic regression, decision trees, random forests, SVM, KNN, K-means, and neural networks.
Will I learn deep learning?
Yes. Neural networks, CNNs, and NLP basics are covered using TensorFlow and Keras.
Will I learn to deploy ML models?
Yes. Model deployment with Flask and Docker is covered in the final module.
Data Science
Tools You'll Master
Career Outcomes
- ✓Data Scientist
- ✓ML Engineer
- ✓AI Research Analyst
- ✓Data Analyst
- ✓Business Intelligence Developer
- ✓NLP Engineer
Who Should Attend
- CS/IT graduates targeting AI roles
- Working professionals with analytical backgrounds
- Data analysts wanting to move into ML
- Engineers and scientists wanting data expertise