Sanjiv Jaggia – författare

Business Statistics: Communicating with Numbers takes a comprehensive and contemporary approach that aims to bridge the gap between how statistics is taught and applied in the business world. This title not only prepares students in basic statistics but also gets them excited about further exploration of data analytics. The authors emphasize communicating with numbers rather than number crunching, through relatable case studies with relevant statistical methods and takeaways. This title incorporates timely examples from various fields, reinforces core features from previous editions, uses Excel and R to analyze data and solve problems, and includes new improvements, such as a revised chapter on data visualization, an exclusive chapter on logistic regression, and digital enhancements such as a big data capstone project with algorithmic exercises that span across multiple chapters.

Business Statistics strengthens the connection between the study of business statistics and the study of business analytics. The authors believe that the 4th edition will not only prepare students in basic statistics but will also get them ready and excited about further exploration of data analytics. This edition is available for use with McGraw Hill Connect®, a reliable, easy-to-use homework and learning management solution that embeds learning science and award-winning adaptive tools for better student results. 

Business Analytics: Communicating with Numbers prepares students for the data-driven demands of today’s business world by equipping them with essential skills in data analysis, visualization, and communication. It offers a comprehensive, hands-on approach to business analytics, covering everything from data wrangling to predictive and prescriptive analytics. Through real-world case studies and experiential learning, students work with Excel, R, and Python to tackle real-life data challenges. The focus on data storytelling ensures students can effectively communicate insights to diverse stakeholders. With expanded coverage of big data, text mining, and data mining, this title readies students for career success in a rapidly evolving field.