Data Science

Overview: ML foundations, model building, feature engineering, evaluation and deployment; strong Python & statistics focus.

Modules

1. Python for DS, data wrangling (pandas)

2. Probability & statistics for ML

3. Supervised learning (regression, classification)

4. Unsupervised learning (clustering, PCA)

5. Feature engineering & model selection

6. Deep learning intro (neural networks)

7. Model deployment basics (Flask, Docker)

8. Project: end-to-end model with evaluation

Duration & Schedule

• Weekday: 16–20 weeks

• Weekend: 24–36 weeks

Career outcomes

• Data Scientist / ML Engineer

• Research Analyst / Applied ML Specialist

Avg Salary (est.)

• India: ₹6 LPA → ₹20 LPA

• US: $90k → $160k

Course benefits

• Build deployable ML models

• Emphasis on model evaluation & productionization

• Portfolio project for hiring