Course

Data Science

Learn to turn data into predictions and insights. Cover statistics, machine learning, deep learning and generative AI, with projects on real datasets.

What you will learn

01Python for data science

NumPy, pandas, Matplotlib and Seaborn

02Statistics & probability

Distributions, hypothesis testing and regression basics

03Machine learning

Regression, classification, clustering and scikit-learn

04Deep learning

Neural networks, CNNs and RNNs with TensorFlow and Keras

05NLP & generative AI

Text processing, LLMs, prompt engineering and RAG

06Model deployment

FastAPI, Streamlit and putting models into production

07Capstone project

Solve a real business problem from data to deployed model

Tools & technologies

Pythonpandasscikit-learnTensorFlowKerasSQLJupyterStreamlit

Who should join

  • Graduates from engineering, maths, statistics or science
  • Analysts who want to move into machine learning
  • Developers who want to build AI features
Explore more

Other courses

React Js

Modern JavaScript, React, hooks, state management and building real apps.

OnlineClassroomLive projects
View course โ†’

DevOps

Linux, Git, Docker, Kubernetes, Jenkins, CI/CD and cloud deployment.

OnlineClassroomLive projects
View course โ†’

Cyber Security

Network security, ethical hacking, threat analysis and security tools.

OnlineClassroomLive projects
View course โ†’

Start your Data Science journey

Ask about upcoming batches, timings and fees.

Enquire now