Publisher: K-i-s-publishing

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Data Science for Web3. A comprehensive guide to decoding blockchain data with data analysis basics and machine learning cases

Gabriela Castillo Areco

Data Science Projects with Python. A case study approach to gaining valuable insights from real data with machine learning - Second Edition

Stephen Klosterman

Data Science Projects with Python. A case study approach to successful data science projects using Python, pandas, and scikit-learn

Stephen Klosterman

Data Science with .NET and Polyglot Notebooks. Programmer's guide to data science using ML.NET, OpenAI, and Semantic Kernel

Matt Eland

Data Science with SQL Server Quick Start Guide. Integrate SQL Server with data science

Dejan Sarka

Data Stewardship in Action. A roadmap to data value realization and measurable business outcomes

Pui Shing Lee, Dr. Toa Charm

Data Storytelling with Google Looker Studio. A hands-on guide to using Looker Studio for building compelling and effective dashboards

Sireesha Pulipati

Data Structures and Algorithms with the C++ STL. A guide for modern C++ practitioners

John Farrier

Data Visualization: a successful design process

Andy Kirk

Data Visualization: Representing Information on Modern Web. Unleash the power of data by creating interactive, engaging, and compelling visualizations for the web

Aendrew Rininsland , Andy Kirk, Swizec Teller,...

Data Visualization with D3 4.x Cookbook. Visualization Strategies for Tackling Dirty Data - Second Edition

Nick Zhu

Data Visualization with D3 and AngularJS. Build dynamic and interactive visualizations from real-world data with D3 on AngularJS

Erik Hanchett, Christoph Körner

Data Visualization with D3.js Cookbook. Turn your digital data into dynamic graphics with this exciting, leading-edge cookbook. Packed with recipes and practical guidance it will quickly make you a proficient user of the D3 JavaScript library

Nick Zhu

Data Wrangling on AWS. Clean and organize complex data for analysis

Navnit Shukla, Sankar M, Sam Palani

Data Wrangling with Python. Creating actionable data from raw sources

Dr. Tirthajyoti Sarkar , Shubhadeep Roychowdhury

Data Wrangling with R. Load, explore, transform and visualize data for modeling with tidyverse libraries

Gustavo Santos