Learn statistics for beginners, business, and data science - without the confusion. Whether you're a student, professional, or entrepreneur, Foundations of Data Science and Statistics: Analytics Made Simple gives you a clear, practical path to mastering the most important statistical concepts. This guide blends theory and application so you can use statistics to solve real-world problems, make data-driven decisions, and improve your analytical skills. Includes sections about econometrics, ARIMA, ANOVA, clustering, machine learning, neural networks, and so much more.
Inside, you'll find:
Beginner-friendly explanations of descriptive statistics, probability basics, and inferential methods. Practical statistics techniques you can apply in business, economics, and everyday decision-making. Step-by-step guidance on statistical analysis for data science projects. Examples and exercises designed for self-study, classroom learning, or workplace application. Applied statistics tools for business analytics, economics research, and performance improvement.
No complicated jargon. No overwhelming formulas. Just clear, easy-to-follow lessons that help you build confidence in statistics and analytics - even if you've never enjoyed math before.
If you need a statistics workbook, a statistics crash course, or a practical statistics guide you can use right away, this book delivers. Whether your goal is to pass a statistics course, analyze business data, or explore data science, you'll learn skills you can apply immediately.
Perfect for:
Beginners who want a quick yet thorough introduction to statistics. Business professionals who need to understand data. Students in economics, data science, or related fields. Self-learners seeking a step-by-step guide to statistics and analytics.
Master statistics for data science, business, and economics - and turn numbers into knowledge.
