Data Science Course in Coimbatore with Placement

• Python Advanced Features
• NumPy Vectorization
• Pandas Data Wrangling
• Matplotlib & Plotly
• Seaborn Statistical Plots
• Jupyter Best Practices

• Descriptive Statistics
• Probability Distributions
• Hypothesis Testing
• Bayesian Thinking
• A/B Testing
• Statistical Inference

• Linear & Logistic Regression
• Decision Trees & Ensembles
• Clustering (K-Means, DBSCAN)
• Dimensionality Reduction
• Model Selection & Tuning
• Cross-Validation

• Neural Networks & Deep Learning
• NLP & Text Analytics
• Time Series Forecasting
• Recommendation Systems
• LLM Integration
• MLOps & Model Monitoring

• Sales Forecasting Model
• Customer Segmentation
• Sentiment Analysis API
• Stock Price Predictor
• End-to-End ML Pipeline

• Kaggle Competition Strategy
• DS Case Study Interviews
• SQL for DS Interviews
• Statistics Interview Prep
• Portfolio & GitHub

Undergraduate-level math helps. We teach statistics and linear algebra as part of the course.

This course covers the full data science lifecycle — EDA, statistics, and model deployment. AI/ML focuses more on deep learning and AI applications.

Yes, Apache Spark and distributed computing concepts are covered in Module 4.

₹6L–₹12L for freshers. Senior Data Scientists earn ₹15L–₹30L+

5 end-to-end projects with deployed APIs and Kaggle competition entries.

We assume basic Python. Advanced Python for data science is Module 1.