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Data Science

From data wrangling to deploying ML models — master the complete data science pipeline with Python, ML & AI.

6 Months 14 Modules Online & Offline (Hosur) Certificate + Placement Support

🚀 Why Data Science? — Current & Future Scope

Current Demand

Data Scientist is the #1 job of the decade. India needs 11 million data professionals by 2026. Fresher salary: ₹6–15 LPA.

Future Scope

Generative AI, LLMs, MLOps & AutoML are transforming every industry. Data Science skills are future-proof across all sectors.

Job Roles

Data Scientist, ML Engineer, AI Engineer, Data Analyst, Research Scientist, NLP Engineer, Computer Vision Engineer.

Top Recruiters

Amazon, Google, Microsoft, Flipkart, Ola, Swiggy, healthcare, finance, e-commerce & every data-driven company.

📚 Advanced AI-Integrated Syllabus — Module Wise

1
Python for Data Science
2 Weeks
  • Python Basics, Data Types, Control Flow
  • Functions, OOP, File Handling
  • NumPy: Arrays, Broadcasting, Linear Algebra
  • Pandas: DataFrames, Series, Data Manipulation
  • Jupyter Notebook & Google Colab
2
Statistics & Mathematics
2 Weeks
  • Descriptive Statistics: Mean, Median, Mode, Variance
  • Probability Theory & Distributions
  • Hypothesis Testing, p-value, t-test, chi-square
  • Linear Algebra: Matrices, Eigenvalues
  • Calculus: Derivatives, Gradient Descent
3
Data Visualization
1 Week
  • Matplotlib: Line, Bar, Scatter, Histogram
  • Seaborn: Heatmaps, Pairplots, Boxplots
  • Plotly: Interactive Charts
  • Storytelling with Data
  • Dashboard with Streamlit
4
Data Preprocessing & EDA
1 Week
  • Handling Missing Values & Outliers
  • Feature Engineering & Selection
  • Encoding Categorical Variables
  • Scaling & Normalization
  • Exploratory Data Analysis (EDA)
5
Supervised Learning
3 Weeks
  • Linear & Logistic Regression
  • Decision Trees & Random Forest
  • Support Vector Machines (SVM)
  • K-Nearest Neighbors (KNN)
  • Gradient Boosting: XGBoost, LightGBM
  • Model Evaluation: Accuracy, Precision, Recall, F1, ROC-AUC
6
Unsupervised Learning
1 Week
  • K-Means Clustering
  • Hierarchical Clustering
  • DBSCAN
  • PCA (Dimensionality Reduction)
  • Anomaly Detection
7
Deep Learning
3 Weeks
  • Neural Networks: Perceptron, Backpropagation
  • TensorFlow & Keras
  • CNNs for Image Classification
  • RNNs & LSTMs for Sequence Data
  • Transfer Learning (VGG, ResNet)
  • Model Optimization & Regularization
8
Natural Language Processing (NLP)
2 Weeks
  • Text Preprocessing: Tokenization, Stemming, Lemmatization
  • Bag of Words, TF-IDF
  • Word Embeddings: Word2Vec, GloVe
  • Sentiment Analysis
  • Transformers & BERT basics
9
Computer Vision
1 Week
  • OpenCV: Image Processing
  • Object Detection: YOLO basics
  • Face Recognition
  • Image Segmentation
10
SQL & Databases for Data Science
1 Week
  • SQL Queries, Joins, Aggregations
  • Window Functions
  • Connecting Python to SQL
  • NoSQL: MongoDB basics
11
MLOps & Model Deployment
2 Weeks
  • Model Serialization: Pickle, Joblib
  • Flask/FastAPI for ML APIs
  • Docker for ML Models
  • Deploy on AWS SageMaker / Heroku
  • MLflow for Experiment Tracking
12
Generative AI & LLMs (Intro)
1 Week
  • Introduction to GPT, LLaMA, Gemini
  • Prompt Engineering
  • LangChain basics
  • Building a simple RAG application
13
Generative AI & Advanced ML
2 Weeks
  • Introduction to Large Language Models (LLMs)
  • OpenAI & Google Gemini API Integration
  • Fine-tuning Pre-trained Models
  • Building Custom AI Applications with Python
  • LangChain & Vector Databases (Pinecone, Chroma)
  • Retrieval-Augmented Generation (RAG)
  • AI-powered Data Analysis & Insights
  • Ethical AI & Responsible ML Practices
14
Capstone Project + Interview Prep
2 Weeks
  • End-to-End ML Project: Prediction / Classification / NLP
  • AI-Enhanced Project with Gen AI Features
  • Kaggle Competition Participation
  • Portfolio on GitHub with AI Projects
  • Mock Data Science Interviews (ML + AI)
  • Placement Drive Participation