About This Program
Comprehensive Data Science program from basics to advanced ML/DL. Work on real datasets, build ML models, deploy to production. Perfect for career switchers and graduates.
What You'll Get
30+ Real Datasets
ML Model Deployment
Big Data with Spark
Statistics & Mathematics
Kaggle Competition Training
Program Curriculum
1Python for Data Science4 Weeks
Key Topics:
Python Fundamentals
NumPy & Pandas
Data Manipulation
Matplotlib & Seaborn
Jupyter Notebooks
2Statistics & Mathematics5 Weeks
Key Topics:
Descriptive Statistics
Probability Theory
Hypothesis Testing
Linear Algebra
Calculus Basics
3Data Analysis & Visualization4 Weeks
Key Topics:
Exploratory Data Analysis
Data Cleaning
Feature Engineering
Advanced Visualization
Dashboard Creation
4Machine Learning Foundations6 Weeks
Key Topics:
Supervised Learning
Regression Algorithms
Classification Models
Model Evaluation
Cross-Validation
5Advanced Machine Learning5 Weeks
Key Topics:
Ensemble Methods
Random Forests & XGBoost
Unsupervised Learning
Clustering Algorithms
Dimensionality Reduction
6Deep Learning6 Weeks
Key Topics:
Neural Networks
TensorFlow & Keras
CNNs for Image Data
RNNs & Time Series
Transfer Learning
7Natural Language Processing4 Weeks
Key Topics:
Text Preprocessing
Sentiment Analysis
Named Entity Recognition
Word Embeddings
Transformers Basics
8Big Data Technologies5 Weeks
Key Topics:
Hadoop Ecosystem
Apache Spark
PySpark
Distributed Computing
Data Pipelines
9ML Model Deployment4 Weeks
Key Topics:
Model Serialization
Flask/FastAPI
Docker for ML
Cloud Deployment
Model Monitoring
10Capstone & Interview Prep4 Weeks
Key Topics:
End-to-End Projects
Kaggle Competitions
Portfolio Development
Technical Interviews
Case Study Preparation
Course Fee
₹1,10,000/ 11 Months
Limited seats available for next batch.