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If you're looking for free educational programs or materials in the US and Canada, we'll help you find what you need for students and learners. ![]() Data Science with Python: A Beginner-Friendly Practical Guide: From Data Cleaning and Visualization to Machine Learning, Forecasting, and Real-World Projects - No Heavy Math, Step-by-Step Learning by prakash kumar English | 2026 | ASIN: B0GJQ8M35Z | 197 pages | pdf | 54 MB ![]() Data Science with Julia: Build Models and Analyze Data by Grilo West English | 2026 | ASIN: B0GLLDTRNP | 353 Pages | PDF | 109 MB ![]() Data Science in 7 days by Narayana Nemani English | 2026 | ASIN: B0GHYHZVCX | 195 pages | pdf | 48 MB Unlock the Power of Data - No Prior Experience Required! ![]() Brennan Davis, "Data Science for All" English | ISBN: 0138323143 | 2025 | 600 pages | PDF | 84 MB We are all consumers of data, and you may become directly engaged with data work in your future career. 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Analysis of these enormous amounts of data has become a crucial need and requires a lot of effort in order to extract valuable knowledge for decision-making, which in turn will help both academia and industry. ![]() Data Science and Artificial Intelligence (Communications in Computer and Information Science) by Chutiporn Anutariya, Marcello Bonsangue, Amalka Pinidiyaarachchi English | November 12, 2025 | ISBN: 9819544084 | 356 pages | True ePUB, PDF | 65 Mb The 22 full papers and 4 invited talks were included in this book were carefully reviewed and selected from 92 submissions.They were organized in topical sections as follows: Large Language Models and Advanced NLP, Computer Vision and Deep Learning for Image/Video Analysis, Healthcare, Medicine, and Survival Analysis, Time Series Forecasting and Predictive Modeling, Explainable AI and Bias Detection, Optimization, Efficiency, and Edge Computing, Domain-Specific Applications and Case Studies. ![]() Theo Lynn, "Data Privacy and Trust in Cloud Computing: Building trust in the cloud through assurance and accountability " English | ISBN: 3030546594 | 2020 | 170 pages | MOBI | 655 KB This open access book brings together perspectives from multiple disciplines including psychology, law, IS, and computer science on data privacy and trust in the cloud. 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