Python Data Analysis | Python, AI & Machine Learning | Navlani & Wijaya
Why Read This Book?
- •Master Python for data analysis — Learn to clean, transform, explore and visualize real-world data.
- •Move into machine learning — Build skills in regression, classification, clustering and predictive analysis.
- •Work with modern AI — Explore deep learning, Generative AI and LLMs alongside traditional data analysis.
- •Handle bigger data workflows — Learn tools such as Dask, Modin, Ray and PySpark for scalable analytics.
- •Learn the complete data journey — Go from Python and pandas through statistics, visualization, ML, NLP, image analysis and AI instead of learning isolated techniques.
Estimated Delivery Schedule: 1–3 business days
(10:00 AM – 7:00 PM-Monday to Saturday)
Python Data Analysis, Fourth Edition by Avinash Navlani and Cornellius Yudha Wijaya is a comprehensive guide to using Python for data analysis, machine learning, AI and data engineering.
The book takes readers from data preparation, cleaning, NumPy, pandas, statistics and visualization into time series analysis, predictive analytics, machine learning, deep learning, NLP, image analytics, Generative AI and LLMs.
It is designed for readers who want to move beyond basic Python programming and learn how to turn data into useful insights and practical solutions. The book also covers scalable analytics using Dask, Modin, Ray and PySpark, making it relevant to modern data and big-data workflows.
This 766-page, fourth edition is suitable for data analysts, data scientists, Python developers, machine-learning practitioners, students and professionals building modern analytics skills.
If you are looking for Python data analysis books in Kenya, machine learning books in Nairobi, or practical Python books for data science, shop Python Data Analysis from LIBRAZE, with online ordering and Kenya-wide delivery.
Customer Reviews
No reviews yet — be the first to review this book.
