Data Science & Machine Learning Bootcamp

This bootcamp takes you from the very basics of Python to building and running machine learning models. You start with Python from scratch, covering syntax and functions, then move into data science tools where you learn Pandas, NumPy and Matplotlib for data manipulation and visualisation. The machine learning section covers core algorithms and neural network basics, ending with real projects that put the theory into practice.

What sets this course apart is its focus on practical application. Throughout the 44-hour self-paced structure, you work through ten hands-on projects that reinforce each topic, from data manipulation tasks to building and testing neural networks. The modules are sequenced so that by the time you reach the neural networks section, you have already built the foundational skills in Python and data tools.

By the end, you can write Python scripts without prior experience, clean and analyse data using Pandas and NumPy, create visualisations with Matplotlib, and implement basic machine learning models. You will also have a portfolio of ten projects to show for your work. The course is designed for absolute beginners; if you already know Python, the early modules move quickly, but the later project work still offers value.

This course may not be the best fit if you are looking for deep mathematical theory or advanced deep learning techniques. The neural networks section covers basics only; those seeking rigorous maths or TensorFlow/Keras specialisation may want to look at the Deep Learning Specialization on Coursera or the Machine Learning A-Z course, which runs 43 hours and costs ₹599. For a free option with more hours, the Free Data Science with Python course from freeCodeCamp provides 300 hours of content for ₹0.