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Learn how to analyze data using statistics, with a focus on cutting-edge statistical methods, modeling, and visualization. Explore topics from basic to advanced, including data visualization, statistics, machine learning (ML), and large language models (LLMs).
Statistics is a powerful tool for data analysis, visualization, and inference. Python is a popular programming language that offers a rich set of libraries and frameworks for statistical computing. Together, they can help you solve real-world problems and make informed decisions based on data. This book teaches you how to use Python to implement statistical concepts and techniques in a practical and effective way. You will also learn how to perform data science and analysis to generate insights, patterns, and trends.
Dipendra Pant is a Ph.D. candidate in Computer Science at the Norwegian University of Science and Technology (NTNU), Norway's leading technical university.