Data Science and Machine Learning for Non-Programmers 1st Edition

Data Science and Machine Learning for Non-Programmers, 1st Edition by Dothang Truong is a clear, practical guide that brings the power of data analytics and predictive modeling to professionals who don’t code. If you’ve been curious about data science but intimidated by scripts and syntax, this book opens the door with approachable explanations and real-world examples.

Discover step-by-step introductions to core concepts—data preparation, exploratory analysis, model intuition, evaluation, and visualization—explained in plain language and illustrated with diagrams and case studies relevant to business, healthcare, marketing, and public policy. The author focuses on how algorithms make decisions, how to interpret results responsibly, and how to translate insights into action, making it ideal for managers, analysts, students, and domain experts.

What sets this title apart is its emphasis on practical outcomes: build confidence interpreting models, frame data projects that deliver measurable value, and collaborate effectively with technical teams. The book is globally relevant and suitable for readers in North America, Europe, Asia, and beyond who need a strategic understanding of machine learning without deep programming.

Whether you want to improve decision-making, lead data initiatives, or simply stay competitive in a data-driven job market, this guide gives you the foundation and language to move forward. Clear, professional, and engaging, Data Science and Machine Learning for Non-Programmers is the essential first step for non-coders who want to harness data intelligently. Order your copy today and start turning data into insight.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.