Data Science Bootcamp
A comprehensive training curriculum covering Python fundamentals, data analysis, machine learning, and deep learning through 8 structured modules with 111+ hands-on Jupyter notebooks.
8
Comprehensive Modules
111+
Jupyter Notebooks
7
Capstone Projects
Quick start
Get your environment ready and run your first notebook in minutes
Install dependencies
Install the required Python packages:
Terminal
Each module folder contains a
requirements.txt file with specific dependencies for that module’s projects.Learning path
Follow the structured curriculum from Python basics to advanced deep learning
Python fundamentals
Master Python basics, OOP concepts, and build your first projects
Data preparation & analysis
Learn NumPy, Pandas, data wrangling, and exploratory analysis techniques
Statistical inference
Understand probability, distributions, and hypothesis testing
Machine learning
Build regression and classification models with scikit-learn
Unsupervised learning
Explore clustering, dimensionality reduction, and pattern discovery
Deep learning
Create neural networks with Keras and PyTorch
Hands-on projects
Apply your skills to real-world datasets and business problems
📇
Contact management system
Python OOP project with JSON persistence and unit tests
View project
📊
ComercioYA sales analysis
Exploratory data analysis for e-commerce business decisions
View project
🎯
E-commerce sales prediction
Regression models to predict customer purchase amounts
View project
👥
Customer segmentation
Clustering analysis with K-Means, DBSCAN, and PCA
View project
Ready to start your data science journey?
Set up your environment and dive into the first module with hands-on Python exercises.
Setup your environment