Data Science & Cloud Courses
Overview
Welcome to the Data Science Full Stack Developer Program – a hands-on course built to turn you into a proficient data scientist and machine learning practitioner. This program is ideal for beginners and professionals looking to master data analytics, machine learning, and AI-driven development.
You’ll begin with Python programming, statistics, and data handling libraries such as NumPy and Pandas. Then, you'll explore data visualization using Matplotlib, Seaborn, and tools like Power BI or Tableau for building interactive dashboards.
The course covers end-to-end machine learning workflows including supervised and unsupervised learning, model training, evaluation, and deployment using Scikit-learn, TensorFlow, and PyTorch. You'll also gain exposure to data preprocessing, feature engineering, and model optimization.
Real-time projects, capstone assignments, Git version control, and cloud deployment with AWS or GCP are included. You’ll also work with databases like MySQL and MongoDB, and learn how to present your insights effectively to business stakeholders.
By completing this program, you’ll be ready for roles like Data Scientist, Machine Learning Engineer, Data Analyst, and AI Developer with a strong project portfolio to showcase.
Key Highlights:
- Python for data analysis, statistics, and visualization
- Libraries: NumPy, Pandas, Matplotlib, Seaborn, Scikit-learn
- Machine Learning and AI fundamentals with TensorFlow & PyTorch
- Hands-on with real datasets, projects, and Jupyter Notebooks
Root Map
Introduction
| Lessons | Time |
|---|---|
| Python for Data Analysis | 5 days |
| Data Wrangling with Pandas | 4 days |
| Cloud Computing Fundamentals (AWS/Azure) | 3 days |
Mastery
| Lessons | Time |
|---|---|
| Machine Learning with Scikit-Learn | 6 days |
| Deep Learning with TensorFlow | 5 days |
| Cloud Deployment (AWS S3, EC2, Lambda) | 4 days |
Final Thoughts
| Lessons | Time |
|---|---|
| Capstone Project (Data Science + Cloud) | 7 days |
| Model Deployment with Docker & FastAPI | 2 days |
Bonus
| Lessons | Time |
|---|---|
| Version Control with Git & GitHub | 2 days |
| SQL for Data Analysis | 3 days |
| Interview Preparation (ML/Cloud) | 2 days |
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