Showing titles in Data Science

Interest in applying analytics, machine learning, and artificial intelligence to sales and marketing has grown dramatically, with no signs of slowing down. This book provides essential guidance to apply advanced analytics and data mining techniques to real-world business applications.

Artificial intelligence (AI) has emerged as a groundbreaking concept with immense potential to revolutionize various aspects of life and enhance productivity. From simplifying everyday tasks to streamlining complex processes, AI has proven to be an invaluable tool for individuals and businesses alike. This chapter provides an overview of AI and its potential to transform productivity in our modern world.

Radically improve the quality of your data visualizations by employing core principles of color, typography, chart types, data storytelling, and more. Everyday Data Visualization is a field guide for design techniques that will improve the charts, reports, and data dashboards you build every day. Everything you learn is tool-agnostic, with universal principles you can apply to any data stack.

Data science is an exciting field and will remain as such for many years to come. With more people than ever studying data science, machine learning & AI, there is an increasing gap between what you learn in the classroom and how data science is done in the real world. Inspired by conversations with nearly 10,000 social media followers, this book aims to close that gap and address some of the common tasks that you will face in your first year as a data scientist.

Cómo tomar decisiones estratégicas a partir de la analítica de datos. "¿Cuál es la función de los datos, entonces, y de su análisis profundo y racional antes de tomar una decisión en una empresa o en una organización?... ¿Quiénes toman las decisiones en una empresa? ¿Qué decisiones toman?", se pregunta el autor de este libro que invita a líderes de equipos de trabajo a pensar en un término muy presente hoy: la data. Y, sobre todo, qué hacer con ella.

Celebrated data-driven growth leader Lillian Pierson delivers a masterclass in developing custom strategies to harness the full potential of data and AI within your organization. This book offers a clear, actionable roadmap for leveraging your company's data and technology assets to drive significant, reliable growth.

The Inclusion Equation is a comprehensive, one-of-a-kind guide to merging DEI and employee wellbeing concepts with data analytics and AI. In this book, renowned thought leader and professional keynote speaker Dr. Serena H. Huang explains exactly how to quantify the effectiveness of new talent strategies by connecting them to a firm ROI estimate, enabling listeners to approach and win the favor of higher-ups in any organization with the same effectiveness that marketing and financial departments do.

"SQL: Learn SQL Programming and Database Management" is your comprehensive guide to mastering the essential skills needed to manage, query, and secure databases in today’s data-driven world. Whether you're a beginner starting your journey into the world of databases or an experienced developer looking to deepen your understanding, this book offers a clear, step-by-step approach to learning SQL and database management.

"Algorithms: From Basic Concepts to Complex Solutions" is your essential guide to mastering the art of algorithmic problem-solving. Are you a beginner stepping into the world of computer science or an experienced developer looking to deepen your understanding, this book offers a comprehensive exploration of algorithms, from foundational principles to advanced techniques.

Whether you’re an AI novice eager to dip your toes or an enthusiast ready to plunge headfirst, "Strategies for Higher Thinking" gears you up for the journey. Explore the AI landscape, understand its impact, and harness its powerful potential across diverse fields.

Transform your career in just a few hours with Python data science mastery—even if you've never written a line of code before! Have you ever felt overwhelmed at the thought of learning data analysis in Python? Do you worry that without a computer science degree, you'll never be able to visualize and analyze data effectively? Are you eager to bring data-driven insights into your career but don’t know where to start?