Python & Tools
Mathematics & Linear Algebra
Statistics & Probability
NumPy & Pandas
Data Cleaning & Preprocessing
Data Visualization
AI Concepts
Machine Learning
Deep Learning
SQL
Big Data & Spark
Cloud & MLOps
Data Ethics & Privacy
Capstone Project
Tools / Software
Programming Language: -
Python
IDE / Notebook
Jupyter, Google Colab, VS Code/ PyCharm
Pandas, NumPy
SymPy, SciPy, Statsmodels
Matplotlib, Seaborn, Plotly, Tableau, Power BI
Machine Learning: - Scikit-learn
Deep Learning / Al :- TensorFlow, Keras, PyTorch
NLP & CV:- NLTK, spaCy, OpenCV, Transformers
Database/ Query:- MySQL, PostgreSQL, SQLite, BigQuery
Big Data:- Hadoop, Spark, PySpark
Cloud & DevOps: - AWS, GCP, Docker, Git, GitHub Actions,
Streamlit, FastAPI, Flask
Ethics & Explainability:- GDPR, SHAP, AIF36C
Deployment: - Streamlit, Flask, Heroku, Render, Hugging Face
Collaboration: - Git, GitHub, Google Drive, Kaggle
After completion of the course student will have to create
demo project, get project certificate & internship experience.
you can become a Data Scientist, Data Analyst, Machine Learning Engg., Data Engg., Business Intelligence (BI) Analyst and Data Architect.
48000 /- 
