A Friendly Guide to Data Science

Data science is an important field that's here to stay, especially as artificial intelligence (AI) and data become part of the everyday conversation in modern society for both their positive and negative impacts. This book's focus on laying strong foundations makes it highly accessible to anyone interested in taking part in the data science revolution, even if they don't yet have programming or business experience. It's perfect for undergraduate and graduate students in data science programs as well as for business leaders and potential career-changers in need of an inviting way into the field.

What You Will Learn

• Know what data is fundamentally and how it fits into data science
• Understand foundational statistics and how it matters in data analysis and data science
• Know what data analysis is and the skills involved
• Understand what the field of data science generally covers
• Understand the data science project life cycle and how to manage a data science project
• Know what "data analytics" refers to and what it means in the context of data analysis and data science
• Understand the ethics of working with data and in data analysis/data science
• Understand the foundations of data security and privacy
• Collect, store, and prepare data
• Identify the many types of machine learning and how to gauge performance
• Visualize and present data and information
• Prepare for and find a career in data science

Who This Book is for

Undergraduates in the early semesters of their data science degrees (as it assumes no industry or programming experience); professionals (the practitioner interviews will be helpful); business leaders who want to understand what data science can do for them and the data science work being done by their teams;  and career changers who want to get a good foundational understanding of the field before committing to other learning paths such as degrees or boot camps