Business Analytics for Decision Making

Welcome

Business Analytics for Decision Making is a comprehensive guide designed to equip readers with the essential skills and knowledge for applying business analytics in decision-making processes. This book seamlessly integrates theoretical concepts with practical applications, using MS Excel and two of the most powerful programming languages in the data science field: R and Python.

It covers a broad spectrum of data analytics. With an emphasis on data structures, statistical tests, data visualization techniques, and utilization of key packages from Python and R, this book is a practical resource for those looking to master business analytics for real-world applications.

Whether you’re a student stepping into the world of data science or a professional seeking to enhance your decision-making skills through data-driven insights, this book provides the tools and insights needed to navigate the complex landscape of business analytics

Inclusion of R & Python codes in this book

Throughout the book, the R & Python codes used for the analysis are included in this document as shown below. And the output of each code is given below the code.

Code

sample R code

x=5
y=3
x+y

[1] 8

About the Authors

[Vijayakumar P] is a skilled data analytics & data science professional with a deep academic foundation and practical experience. He excels in a variety of programming languages and tools essential to the field, such as SPSS, R, Python, Advanced Excel, Tableau, and Power BI. This combination of skills enables him to efficiently solve complex data problems and contribute to advancements in data analysis.

Known for his systematic approach and insightful analyses, Vijayakumar consistently enhances data-driven decision-making processes. His dedication to precision and his ability to harness technology elevate his work, driving innovation and understanding in every project he undertakes.

Rani C is a skilled HR analytics professional with expertise in a wide range of tools and technologies, including SPSS, R, Tableau, and Power BI. Her proficiency in data visualization tools allows her to transform complex data into actionable insights, making her a key contributor to data-driven decision-making processes.

Rani is known for her ability to analyze and interpret HR data effectively, helping organizations optimize their workforce strategies. Her expertise in both analytical techniques and visualization empowers her to provide clear, impactful insights that drive organizational performance and strategic HR initiatives.

Reference books

R for Everyone

Statistics for Management (Levin, Rubin)