Data Science & Machine Learning: The Complete Career Bootcamp

Go from curious to career-ready. Data Science & Machine Learning: The Complete Career Bootcamp is a single, structured path through everything a working data professional needs in 2026 — the statistics, the Python, the machine learning, and the production skills that actually get people hired.

Starting from the modern data landscape, you'll build a rigorous foundation in statistics and probability, get fluent in Python and the pandas/NumPy/Polars toolkit, and master exploratory analysis and data visualisation. From there you'll work through supervised and unsupervised learning, ensemble methods and gradient boosting, deep learning with PyTorch, and the large language models and retrieval-augmented generation techniques defining the field today. The final chapters take you into MLOps and production ML, then turn practical: building a job-ready portfolio and navigating the data science job search.

Every chapter pairs clear explanation with runnable code and end-of-chapter practice, and the book closes with a full interview-preparation guide, quick-reference cheat sheets, and a glossary.

You will learn to: - Apply statistics, probability, and hypothesis testing with confidence - Wrangle, explore, and visualise real datasets in Python - Build, tune, and interpret machine-learning models — regression to gradient boosting - Train neural networks with PyTorch and work with modern LLMs and RAG - Ship and monitor models with MLOps best practices - Assemble a portfolio and prepare for data-science interviews

Whether you're switching careers or levelling up, this is the complete bootcamp in one volume.